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1
Richert, Maria, and Marek Dudek. "Risk Mapping: Ranking and Analysis of Selected, Key Risk in Supply Chains." Journal of Risk and Financial Management 16, no. 2 (2023): 71. http://dx.doi.org/10.3390/jrfm16020071.
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This study aimed to analyze the impact of key causes of external and internal risk on supply chains. The basic and most probable causes of the risk are listed, based on literature research and interviews with representatives of the metal industry. The analysis was carried out by semiquantitative assessment using risk maps. The relationship between the probability of an event occurrence and its impact on supply chains was tested. The study postulates that key risk factors can be controlled through risk monitoring. Attention was drawn to the beneficial aspects of using risk maps that enable a comprehensive assessment of the situation. Both external and internal risks can cause turmoil and disruption of the supply chain. The findings suggest that external uncertainty and crises have the most direct impact on supply chain risk and are the most dangerous. The work presents the possibility of practical application of risk maps for risk assessment and monitoring. The presented approach to risk assessment complements the methodology of risk assessment and monitoring. Risk maps were used as a basic tool in assessing the impact of individual risks on supply chains. It has been found that supply chains are subject to high risk, which can be monitored through risk matrix procedures. The conducted analysis showed that critical risk areas in supply chains are external crises, environmental uncertainty, supply chain relationships, and manufacturing and the most dangerous risks in supply chains are related to external conditions beyond the control of the participants in the supply chain. The article fills a gap in research on risk monitoring in supply chains by focusing on selected, generalized measures related to industrial supply.
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Daniel, Cheruyot Barmoiben, and Sammy Odari Dr. "ROLE OF SUPPLY CHAIN RISK MANAGEMENT ON PROCUREMENT PERFORMANCE IN COUNTY GOVERNMENTS IN KENYA." International Journal of Recent Research in Commerce Economics and Management (IJRRCEM) 9, no. 4 (2022): 151–61. https://doi.org/10.5281/zenodo.7477145.
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<strong>Abstract</strong><strong>:</strong> County Governments in Kenya have undertaken projects that have failed to meet the intended objectives largely due to increased risk and uncertainty in supply chain. The general objective of this research project is to establish the role of supply chain risk management on procurement performance; case study of Kericho County Government. The objectives of the study were: to determine how supply chain risk identification, supply chain risk assessment, supply chain risk mitigation and supply chain risk monitoring influences procurement performance. Descriptive research design was adopted where target population of 400 respondents drawn from both technical and support departments. Sample size of 120 respondents was utilized using stratified random sampling design. Questionnaires were used as the research instrument. Quantitative data was presented in tables and multiple regression analysis was used in development of the research model. The outcome of the research points out that the independent variable has good explanatory power and significant. The study recommends that: County Governments should develop mechanisms for identification of risks; develop and implement appropriate mechanisms for analysis and evaluation of risks; undertake risk mitigation planning to mitigate against risks and; ensure appropriate risk control and monitoring management strategies are developed and implemented. <strong>Keywords:</strong> supply chain risk identification, supply chain risk assessment, supply chain risk mitigation and supply chain risk monitoring. <strong>Title:</strong> ROLE OF SUPPLY CHAIN RISK MANAGEMENT ON PROCUREMENT PERFORMANCE IN COUNTY GOVERNMENTS IN KENYA <strong>Author:</strong> Daniel Cheruyot Barmoiben, Dr. Sammy Odari <strong>International Journal of Recent Research in Commerce Economics and Management (IJRRCEM)</strong> <strong>ISSN 2349-7807</strong> <strong>Vol. 9, Issue 4, October 2022 - December 2022</strong> <strong>Page No: 151-161</strong> <strong>Paper Publications </strong> <strong>Website: www.paperpublications.org</strong> <strong>Published Date: 23-December-2022</strong> <strong>DOI: https://doi.org/10.5281/zenodo.7477145</strong> <strong>Paper Download Link (Source)</strong> <strong>https://www.paperpublications.org/upload/book/ROLE%20OF%20SUPPLY%20CHAIN%20RISK%20MANAGEMENT-23122022-4.pdf</strong>
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Usykova, Olena. "Risk Analysis of Supply Chains at an Enterprise." Modern Economics 37, no. 1 (2023): 96–100. http://dx.doi.org/10.31521/modecon.v37(2023)-14.
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Abstract. Introduction. The article investigates the issues of the methodology for assessing the impact of external and internal risks on supply chains. The interrelation between the probability of occurrence of a hazardous event and its impact on supply chains is examined. The principal research method is the use of risk maps on the basis of matrix modeling. Purpose. The purpose of the article is to reveal modern approaches towards the methodology of supply chain risk analysis at an enterprise. Results. It has been stated that key risk factors can be controlled through risk monitoring. External and internal risks that may cause shocks and disruptions to the supply chain have been analyzed. It has been determined that the presented approach to risk assessment complements the methodology for risk assessment and monitoring. It has been established that supply chains are exposed to elevated risk, which can be controlled through the use of the risk matrix procedures. It has been proven that the critical risk areas within supply chains are external crises, environmental uncertainty, supply chains relations and production, while the most hazardous risks within supply chains are associated with external conditions beyond the control of supply chain participants. Conclusions. The growing impact of risk on the activity of the enterprise emphasizes the importance of processes that are intended to reduce the probability of supply chain risk. The presented study attracts attention to the process of risk monitoring, which, if neglected, contributes to the catastrophic consequences of the supply chain collapse. Summing up, it is possible to draw the following conclusions. 1. Supply chains are being exposed to high risk, which can be controlled through risk matrix procedures. 2. The conducted analysis has demonstrated that the critical risk areas in supply chains are external crises, environmental uncertainty, supply chain relations and production. 3. The most hazardous risks in supply chains are associated with external conditions that are beyond the control of supply chain participants. 4. Awareness of a risk and the possibility of classifying it on a risk matrix is a considerable aid to a simpler threat assessment, which may prove useful in practice.
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Choi, Dongyeop, and Yongwon Seo. "Development of Media Text Analysis Based Supply Chain Risk Monitoring System." Korean Production and Operations Management Society 34, no. 4 (2023): 453–71. http://dx.doi.org/10.32956/kopoms.2023.34.4.453.
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Recently, companies are exposed to various supply chain risks such as intensified trade conflicts, epidemics, economic and geopolitical uncertainties, and natural disasters. Thus there is increasing importance in monitoring information related to supply chain risks. Analyzing real-time media texts, such as news articles, can be utilized for monitoring up-to-date information supply chain risks. However, researches regarding analyzing supply chain risk related text are in early stages, and researches to apply modern AI techniques such as deep learning-based natural language processing to supply chain risk texts are scarce. This study aims to develop a supply chain risk monitoring system that monitors and extracts information related to supply chain risks by analyzing news articles. To collect supply chain risk related articles a filtering model based on KoBERT is developed, of which risk types are identified based on LDA topic modeling to be utilized as the train data. To predict news articles’ risk types, two deep learning- based risk classification models are developed using BOW(Bag of Words) and KoBERT. The results showed high accuracy of KoBERT based model in filtering supply chain risk-related articles, and in the classification of supply chain risk types also KoBERT based model showed better performance than BOW based model.
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Tieman, Marco. "Halal risk management: combining robustness and resilience." Journal of Islamic Marketing 8, no. 3 (2017): 461–75. http://dx.doi.org/10.1108/jima-06-2015-0041.
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Purpose The purpose of this paper is to introduce a supply chain view of a robust and resilient halal brand. In this conceptual paper, a risk prevention-mitigation-recovery cycle is proposed. Design/methodology/approach This paper builds further on previous work published in the Journal of Islamic Marketing on Islamic branding and halal supply chain management. Hypotheses are developed on the intensity of risk management. Findings Integrity of halal products is becoming an increasing concern for governments and industries. Three halal supply chain risk cycles are proposed: (1) risk prevention: risk vulnerability assessment, supply chain (re)design, vertical and horizontal collaboration, monitoring; (2) risk mitigation: investigative audits, cross-functional team, risk mitigation and communication plan, monitoring; and (3) risk recovery: risk recovery and communication plan, resume operations, maintain employee support, review risk mitigation and recovery plans. Research limitations/implications This conceptual paper proposes three halal supply chain risk cycles to better organise risk management in halal supply chains. However, more empirical research on halal risk management is needed to validate these risk management cycles. Practical implications To better protect halal brands and corporate reputation, there are evident benefits of extending halal assurance towards the supply chain, for which prevention-mitigation-recovery cycles are proposed. Originality/value As halal is going through an evolution, towards a halal supply chain and value chain, halal-certified brands need better protection. It is the first study investigating halal risk and reputation management for halal-certified brands.
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Qian, Cheng, and Anna Arkadievna. "Stability And Risk Management of Global Supply Chains in Foreign Trade Economy." American Journal of Economics and Business Innovation 3, no. 1 (2024): 50–55. http://dx.doi.org/10.54536/ajebi.v3i1.2362.
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This article provides an in-depth analysis of the key role of global supply chain stability in the international trade economy and the core role of efficient risk management in this process. Driven by the wave of globalization, supply chains have become a key link connecting the economies of various countries. This article provides a comprehensive analysis of the current status of global supply chains and an in-depth exploration of the many factors affecting supply chain stability, including supplier reliability, logistics system efficiency, demand forecast accuracy, and inventory management effectiveness. It further delves into many aspects of supply chain risk management, including risk identification, assessment, mitigation and monitoring. Analyze and formulate contingency plans for emergencies as well as regular monitoring and evaluation strategies and measures to improve the effectiveness and value of risk management. Finally, this study emphasizes the importance of supply chain stability and efficient risk management in the global foreign trade economic system, and provides suggestions for future research directions and possible improvement strategies. This research has far-reaching significance for enhancing the transparency, resilience and sustainability of global supply chains, and is crucial to the stable development of the global economy.
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Lee, Jong-Jun, and Choong-Bae Lee. "Supply Chain Risk Factors on Resilience Enhancement Strategies and Supply Chain Performance." Korean Academy Of International Commerce 39, no. 1 (2024): 81–103. http://dx.doi.org/10.18104/kalc.2024.39.1.81.
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Purpose: This paper presents the implications of resilience-strengthening strategies by analyzing a resilience strengthening strategy as a supply chain risk factor and its impact on supply chain performance. Research design, data, and methodology: A research model is constructed to empirically analyze the significance of the relationship between risk factors of a supply chain and promoting factors of resilience, as well as the relationship between promoting factors of resilience and corporate performance. Questionnaires were distributed to and collected from companies, and hypotheses were tested through structural equation modeling. Results: Supply chain agility has a positive effect on a company’s financial performance. Robustness has a negative effect on financial performance, but neither agility nor robustness appear to have a significant effect on non-financial performance. Conclusions: Companies should seek sustainable growth and enhanced performance by improving agility and robustness in their supply chains and by strengthening their risk management strategies. Measures include establishing and monitoring risk management, diversifying the supply chain, strengthening flexibility and agility in the supply chain, strengthening cooperation and partnerships, and utilizing technology.
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Tsang, Y. P., K. L. Choy, C. H. Wu, G. T. S. Ho, Cathy H. Y. Lam, and P. S. Koo. "An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks." Industrial Management & Data Systems 118, no. 7 (2018): 1432–62. http://dx.doi.org/10.1108/imds-09-2017-0384.
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PurposeSince the handling of environmentally sensitive products requires close monitoring under prescribed conditions throughout the supply chain, it is essential to manage specific supply chain risks, i.e. maintaining good environmental conditions, and ensuring occupational safety in the cold environment. The purpose of this paper is to propose an Internet of Things (IoT)-based risk monitoring system (IoTRMS) for controlling product quality and occupational safety risks in cold chains. Real-time product monitoring and risk assessment in personal occupational safety can be then effectively established throughout the entire cold chain.Design/methodology/approachIn the design of IoTRMS, there are three major components for risk monitoring in cold chains, namely: wireless sensor network; cloud database services; and fuzzy logic approach. The wireless sensor network is deployed to collect ambient environmental conditions automatically, and the collected information is then managed and applied to a product quality degradation model in the cloud database. The fuzzy logic approach is applied in evaluating the cold-associated occupational safety risk of the different cold chain parties considering specific personal health status. To examine the performance of the proposed system, a cold chain service provider is selected for conducting a comparative analysis before and after applying the IoTRMS.FindingsThe real-time environmental monitoring ensures that the products handled within the desired conditions, namely temperature, humidity and lighting intensity so that any violation of the handling requirements is visible among all cold chain parties. In addition, for cold warehouses and rooms in different cold chain facilities, the personal occupational safety risk assessment is established by considering the surrounding environment and the operators’ personal health status. The frequency of occupational safety risks occurring, including cold-related accidents and injuries, can be greatly reduced. In addition, worker satisfaction and operational efficiency are improved. Therefore, it provides a solid foundation for assessing and identifying product quality and occupational safety risks in cold chain activities.Originality/valueThe cold chain is developed for managing environmentally sensitive products in the right conditions. Most studies found that the risks in cold chain are related to the fluctuation of environmental conditions, resulting in poor product quality and negative influences on consumer health. In addition, there is a lack of occupational safety risk consideration for those who work in cold environments. Therefore, this paper proposes IoTRMS to contribute the area of risk monitoring by means of the IoT application and artificial intelligence techniques. The risk assessment and identification can be effectively established, resulting in secure product quality and appropriate occupational safety management.
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LEPEYKO, Tetyana, and Adnane MERZOUGUI. "INTEGRATING SUPPLY CHAIN RISK MANAGEMENT TECHNOLOGY INTO ENTERPRISE MANAGEMENT SYSTEM." MODELING THE DEVELOPMENT OF THE ECONOMIC SYSTEMS, no. 4 (December 28, 2023): 181–88. http://dx.doi.org/10.31891/mdes/2023-10-24.
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In today's globalized business landscape, enterprises face increasing reliance on intricate supply chains to deliver goods and services efficiently. However, this interconnectedness exposes organizations to diverse risks, exacerbated by factors like natural disasters, geopolitical tensions, and technological vulnerabilities. The COVID-19 pandemic further emphasized the vulnerability of supply chains, prompting the urgent need for robust risk management strategies. Interstate conflicts also significantly influence supply chain risks, posing challenges such as trade disruptions and security vulnerabilities. To mitigate these risks, enterprises must adopt proactive risk management strategies, enhance supply chain resilience, and leverage technology-enabled solutions for real-time monitoring and response. 
 The study examines supply chain risk management (SCRM) practices in healthcare establishments in Algeria and Ukraine, comparing countries with differing healthcare systems. The research aims to identify disparities in SCRM approaches and their consequences. Results reveal that while both countries prioritize technology for predictive analysis, Algerian managers emphasize collaboration with other institutions. 
 The study suggests integrating SCRM technology into enterprise management system, prioritizing advanced technological solutions, scenario planning, collaborative partnerships, comprehensive risk management plans, continuous monitoring, and strengthening supplier relationships to enhance supply chain resilience and continuity in healthcare service delivery. These findings underscore the importance of efficient SCRM strategies in mitigating supply chain disruptions and ensuring uninterrupted healthcare services. By implementing these strategic measures, healthcare establishments can enhance their SCRM capabilities, thus promoting resilience, efficiency, and continuity in healthcare service delivery across diverse healthcare systems.
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Dvaipayana, Made Arya Teguh, Iphov Kumala Sriwana, and Yudha Prambudia. "Design of supply chain risk mitigation system using house of risk and Fuzzy AHP methods in precast concrete." SINERGI 28, no. 1 (2023): 93. http://dx.doi.org/10.22441/sinergi.2024.1.010.
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Today's global supply chain has many risk factors. These risks include supply disruptions, supply delays, demand fluctuations, price fluctuations, and exchange rate fluctuations. Risks that arise and cannot be mitigated properly in the supply chain can disrupt the company's business processes in various sectors. Companies in the construction sector when working on construction projects face many risks during the project cycle, especially risks in the supply chain process. Partial risk management, namely only on construction projects and not specifically on the supply chain process, causes potential risks in the supply chain process not to be identified in detail, and mitigation strategies cannot be determined effectively for risks in the supply chain. This research was conducted to identify risks and determine appropriate mitigation strategies using the house of risk as a framework and a fuzzy analytical hierarchy process weighting method to select the best mitigation strategy. The research results showed that there were 26 risk events and 21 risk agents identified, and the 5 best mitigation strategies were chosen from the 10 formulated strategies for a mitigation monitoring system. Based on research results, the best risk mitigation strategy can be used as a reference for risk mitigation actions in the company's supply chain as outlined in the form of a dashboard monitoring system.
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Rice, James B. "Only as Strong as the Weakest Link." Mechanical Engineering 133, no. 06 (2011): 26–31. http://dx.doi.org/10.1115/1.2011-jun-1.
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This article discusses why companies need to shore up their supply chains to guard against disasters. Supply chains, which provide raw materials and distribute finished goods to end customers, now extend through many independent companies, and nearly every chain is global. As a consequence, major events from around the world, both natural and man-made, affect the flow of goods and have an increasingly sharp and visibly evident impact on businesses. It is therefore essential that companies identify their entire upstream supply chain—not just their tier-one suppliers but all suppliers and subsuppliers . They should try to understand their downstream customers and intermediaries as well. Businesses also need to conduct a vulnerability assessment for their extended supply chain, not just internal operations. This includes assessing geographic risk, organizational risk, embedded risk, and supplier risk. Organizations should also develop a plan to create a culture that supports supply chain risk management, including active risk monitoring, education, training, and simulation exercises.
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Waqas, Umair, Azmawani Binti Abd. Rahman, Normaz Wana Ismail, Norazlyn Kamal Basha, and Sonia Umair. "Conceptualising the moderating role of knowledge management within supply chain risks and supply chain risk management." Forest and Society 3, no. 2 (2019): 209. http://dx.doi.org/10.24259/fs.v3i2.6426.
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There is a dearth of empirical and theoretical investigation in the field of supply chain risk management. Even though SCRM is an important component in supply chain management research, there is still a lack of understanding regarding the term and the concept to develop advantageous SCRM. In the literature of SCRM, different aspects have been discussed, for instance, risk identification, risk assessment, risk management strategies, risk monitoring, and contingency plans. Supply chain risks are increasing because of multiple outsourced partners linked with each other making it more complex, along with this, business is also uncertain, so these scenarios increase supply chain risks. Knowledge management has been used to know about the market scenarios and the information of trading partners and supply chain managers from different firms to know about the uncertainty or risks. However, the discussion shows that the efficient implication of KM capabilities on the SCRs and SCRM is still lacking. This paper provides a comprehensive conceptual framework on the effect of knowledge management within supply chain risk and supply chain risk management.
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Shafiq, Asad, P. Fraser Johnson, Robert D. Klassen, and Amrou Awaysheh. "Exploring the implications of supply risk on sustainability performance." International Journal of Operations & Production Management 37, no. 10 (2017): 1386–407. http://dx.doi.org/10.1108/ijopm-01-2016-0029.
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Purpose Firms are increasingly being pressured by the public, regulators and customers to ensure that their suppliers behave in a socially and ecologically sound manner. Yet, the complexity and risks embedded in many supply chains makes this challenging, with monitoring practices offering one means to attenuate supply sustainability risk. Drawing on agency theory, the purpose of this paper is to examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance. Design/methodology/approach This research uses data from a survey and archival sources from a sample of large US firms to empirically examine the relationship between sustainability and operations risk, supplier sustainability monitoring practices, supply improvement initiatives and firm performance. Findings Findings indicate that higher levels of perceived sustainability risk is related to greater monitoring of supplier sustainability practices by focal firms. Perceptions of higher operations risk are indirectly related to greater social monitoring through investment in supply improvement initiatives. Monitoring of supplier sustainability practices is also found to have a positive effect on focal firm performance. Practical implications Findings suggest that managers process operations risks and sustainability risks independently. Greater sustainability risk leads to increased sustainability monitoring, while greater operations risk leads to increased investment in supply improvement initiatives, which in turn leads to increased social monitoring. The research also indicates that behavior-oriented approaches, such as monitoring of supplier environmental and social practices, are an effective approach to improving firm sustainability performance. However, due to resource constraints, a challenge for supply chain managers is where and when to invest in behavior-oriented approaches for suppliers. Originality/value This research advances supply risk literature by exploring the effects of supply sustainability risk on the use of monitoring practices to manage supplier environmental and social behavior. Using a combination of survey and archival data to independently assess the implications of sustainability monitoring practices on firm sustainability performance, this study provides a methodology for evaluating the impact of sustainability monitoring practices on the triple bottom line in supply chain management.
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Cinar, Burak. "Supply Chain Cybersecurity: Risks, Challenges, and Strategies for a Globalized World." Journal of Engineering Research and Reports 25, no. 9 (2023): 196–210. http://dx.doi.org/10.9734/jerr/2023/v25i9993.
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As the world grows more interconnected, firms increasingly rely on broad supply chains to conduct business. However, monitoring the supply chain and the risks connected with it is a process that is time-consuming and expensive for many organizations. In many instances, businesses that do not appropriately manage the risks associated with their supply chain are more likely to become victims of a cyberattack, which has the potential to cause significant disruptions in their operations. In this article, we will take a more in-depth look at supply chain risk management, the dangers that are most commonly associated with it, as well as the five actions that your company can take toward worry-free supply chain risk management.
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Shchekhovska, Larysa. "Behavioral implications in supply chain risk management." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020, no. 21 (October 2023): 22–32. http://dx.doi.org/10.46783/smart-scm/2023-21-3.
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This article provides new insights into behavioral implications based on biases and heuristics in SCRM. It is argued that biases and heuristics will play an even greater role in SCRM as the rising complexity of risk management systems has increasingly overstrained the cognitive abilities of decision-makers. The main contribution and central finding of the article is the presentation of a wide array of behavioral implications of the selected biases and heuristics for SCRM. It is differentiated between four major SCRM processes: risk identification, risk assessment, risk treatment, and risk monitoring. Focusing on each process individually allows for a dedicated and in-depth presentation of the behavioral implications in SCRM. It is stated that risk identification, where biases and heuristics such as confirmation bias and the availability heuristics can lead to a skewed identification of risks, resulting in omitted risks or the selection of irrelevant risks. In risk assessment, the behavioral implications can be equally severe with the consequence of incorrectly assessing the impact and probability of risks as caused for example through the availability heuristic or representative heuristic. The risk treatment is equally prone to biases and heuristics, as for example loss aversion or planning fallacy can lead to over- or underinvesting in risk treatments as well as wrong estimates about the required costs and effort. The risk monitoring is impacted through biases and heuristics such as the anchoring and adjustment heuristic or the confirmation bias, due to which risk managers carry out insufficient or unnecessary adjustments regarding their risk management system.
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Tang, Chao, and Hanyu Xu. "Risk Analysis and Research of Construction Supply Chain." Highlights in Business, Economics and Management 11 (May 9, 2023): 155–60. http://dx.doi.org/10.54097/hbem.v11i.7961.
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Supply Chain Management (SCM) is increasingly being used in various departments as a result of the development of global economic integration and manufacturing globalization. The construction industry is massive and the complexity of its supply chain poses some risks. According to research findings, the right information sharing, effective program monitoring, open communication channels, good corporate reputation, timely purchase of insurance, and use of innovative technology is a key weapon for dealing with construction industry supply chain risks. When selecting risk response measures, supply chain managers should prioritize risk avoidance, risk control, risk retention, and risk transfer. This article describes the internal and external hazards of the construction supply chain. Statistic and analysis of related papers. It also describes the concept and definition of construction supply chain risks, as well as a systematic review of relevant domestic literature. The risk research gap of construction supply chain is analyzed and provides a basis for future empirical research.
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Bhuiyan, Minhazur Rahman, Safaul Islam Rohan, Sheikh Fuzael Rahman, and Md Shahnur Alam. "SUPPLY CHAIN RISK MANAGEMENT: STRATEGIC SOLUTIONS FOR REDUCING TRANSPORTATION AND LOGISTICS RISKS." ACADEMIC JOURNAL ON SCIENCE, TECHNOLOGY, ENGINEERING & MATHEMATICS EDUCATION 1, no. 01 (2024): 72–90. http://dx.doi.org/10.69593/ajieet.v1i01.125.
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This study investigates strategic approaches to mitigating risks in transportation and logistics within global supply chains, focusing on the integration of advanced technologies, flexibility, collaboration, and sustainability. By employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the study systematically reviews 37 key articles to provide a comprehensive understanding of modern risk management practices. The findings reveal the increasing reliance on technologies such as predictive analytics, the Internet of Things (IoT), and blockchain for enhancing visibility, monitoring, and decision-making. Flexibility in logistics networks, including alternative sourcing and diversified transportation routes, emerged as crucial for mitigating disruptions, while collaboration among supply chain partners, particularly through real-time information sharing, significantly reduces risk exposure. Additionally, the study highlights the growing integration of sustainability into risk management, addressing climate change and environmental risks. This research underscores the need for proactive, adaptable, and sustainable risk management strategies to maintain supply chain resilience in the face of evolving global challenges.
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Zhu, Xinqiu, and Yenchun Jim Wu. "How Does Supply Chain Resilience Affect Supply Chain Performance? The Mediating Effect of Sustainability." Sustainability 14, no. 21 (2022): 14626. http://dx.doi.org/10.3390/su142114626.
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In recent years, interruption or failure events have occurred due to frequent natural disasters, the outbreak of COVID-19, policy environment turbulence, an increasingly complex business environment, and the increasingly fragile global supply chain. This has reduced the efficiency of supply chains and customer service quality and increased operating costs, creating new requirements for supply chain flexibility and sustainability. When investigating 21 companies based on 200 questionnaires and a structural equation model analysis, the results showed that the elasticity of the supply chain for supply chain sustainability, economic sustainability, social sustainability, and environment sustainability has an obvious positive effect: supply chain sustainability has an obvious positive effect on supply chain performance. Supply chain resilience has no direct positive effect on supply chain performance, but it has a strong indirect effect on supply chain performance under the mediating effect of supply chain sustainability. In view of this, in order to create sustainable supply chain development and improve the performances of supply chains, it is necessary to establish the awareness of risk prevention, root the risk culture in supply chain network organization, and improve supply chain resilience in multiple dimensions. Enterprises in the supply chain should continue to build their resilience and establish effective strategies to integrate supply chains. The intermediary role of sustainability in supply chains and of supply chain flexibility in supply chain performance shows the influence of economically, socially, and environmentally sustainable angles, such as the implementation of supply chain management, the maximization of the interests of the whole supply chain, improving the ability of supply chain enterprises to innovate and develop, establishing customer awareness, and enhancing humanistic ideas. Dynamic selection of supply chain partners while focusing on their green performance promotes the green development of supply chain enterprises.
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Ekene Cynthia Onukwulu, Mercy Odochi Agho, and Nsisong Louis Eyo-Udo. "Developing a framework for supply chain resilience in renewable energy operations." Global Journal of Research in Science and Technology 1, no. 2 (2023): 001–18. https://doi.org/10.58175/gjrst.2023.1.2.0048.
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The global transition towards renewable energy is accompanied by an increasing need to enhance the resilience of supply chains in the sector. Developing a framework for supply chain resilience in renewable energy operations is essential for mitigating risks such as resource shortages, geopolitical uncertainties, and environmental challenges. This paper proposes a comprehensive framework designed to strengthen the supply chain resilience in renewable energy operations, ensuring operational continuity and minimizing disruptions. The framework integrates key concepts from risk management, sustainability, and supply chain optimization, addressing both upstream and downstream activities. The framework focuses on several key components: risk assessment, diversification of supply sources, collaboration across the value chain, and the adoption of technology and innovation. Risk assessment techniques are used to identify vulnerabilities in the supply chain, enabling proactive strategies for risk mitigation. Diversification of suppliers and sourcing regions is a critical strategy to reduce reliance on single sources and prevent bottlenecks in the supply chain. Collaborative partnerships between manufacturers, suppliers, and logistics providers foster agility and flexibility, enabling the rapid adaptation to unforeseen events. Furthermore, the integration of advanced technologies, such as blockchain for transparency, IoT for real-time monitoring, and AI for predictive analytics, is incorporated into the framework to enhance decision-making and improve responsiveness. The paper also highlights the importance of sustainability and circular economy principles in making supply chains more robust and adaptable in the long term. Lastly, the framework includes performance metrics and continuous improvement processes to evaluate and enhance the resilience of supply chains over time. The proposed framework provides a holistic approach to building supply chain resilience in renewable energy operations, ensuring the continuity of critical supply flows while promoting sustainability, innovation, and risk management. The insights and strategies offered can be applied to various renewable energy sectors, including solar, wind, and bioenergy, to support the long-term growth and stability of the industry.
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Owoade, Samuel, Ejielo Ogbuefi, Bright Chibunna Ubanadu, and Andrew Ifesinachi Daraojimba. "Systematic Review of Demand Forecasting and Risk Mitigation Models in Responsive Supply Chains." Journal of Frontiers in Multidisciplinary Research 4, no. 2 (2023): 98–109. https://doi.org/10.54660/.jfmr.2023.4.2.98-109.
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This systematic review explores the integration of demand forecasting and risk mitigation models within responsive supply chains, particularly in dynamic and volatile markets. As global supply chains face increasing uncertainty due to fluctuating consumer demand, geopolitical events, and environmental factors, effective forecasting and proactive risk management have become critical to maintaining operational efficiency. The review synthesizes key findings from existing research on forecasting tools, demand-driven planning, and risk mitigation strategies, highlighting their contributions to creating more resilient and adaptive supply chains. Demand forecasting tools, such as time-series analysis, machine learning algorithms, and artificial intelligence (AI), have proven essential in predicting future demand with greater accuracy. These tools enable supply chain managers to better anticipate consumer behavior, reducing the likelihood of stockouts and overstocking. However, while forecasting methods have advanced, challenges remain in managing volatility and unforeseen disruptions. Risk mitigation models, particularly those focused on supply chain resilience, are crucial for addressing uncertainty. Strategies such as diversification of suppliers, inventory buffers, and real-time monitoring are integral to minimizing the impact of disruptions. The review also examines how supply chain risk management frameworks, including scenario planning and risk assessments, complement demand forecasting to improve overall supply chain responsiveness. The review concludes that a holistic approach merging advanced forecasting techniques with proactive risk management is vital for responsive supply chains. Further research is needed to explore the integration of these models in real-world settings, evaluate their effectiveness in diverse industries, and develop frameworks for continuous improvement in dynamic market conditions.
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Oluwakemi Adesola, Itunu Taiwo, Damilola David Adeyemi, Harold Ezenwa Nwariaku, and Adefemi Quddus Abidola. "Utilizing AI and machine learning algorithms to optimize supplier relationship management and risk mitigation in global supply chains." International Journal of Science and Research Archive 14, no. 2 (2025): 219–28. https://doi.org/10.30574/ijsra.2025.14.2.0351.
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This research investigates the integration of artificial intelligence (AI) and machine learning (ML) algorithms in revolutionizing supplier relationship management and risk assessment within global supply chains. With supply chain disruptions costing businesses an average of $184 million annually, the need for intelligent solutions has become critical. The study examines the technological foundations of AI-driven supply chain transformation, including machine learning analytics, natural language processing, and federated learning systems. Through analysis of implementation cases across automotive, technology, pharmaceutical, and agricultural sectors, we explore how cognitive computing and autonomous decision-making frameworks are reshaping traditional supply chain operations. The research provides insights into implementation mechanisms focusing on predictive risk modeling, real-time monitoring systems, and supply chain orchestration. Our findings demonstrate the potential of AI technologies to enhance operational efficiency, reduce risks, and create more resilient supply chain ecosystems. The study offers an evidence based perspective on AI's role in transforming supplier relationship management while acknowledging both opportunities and implementation challenges in an increasingly volatile global business environment.
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John, Dr Byju, Dr Parvindar Kaur Chhabda, and Dr Ankita Nihlani. "Risk Evaluation and Management Involved in Supply Chain Management." Migration Letters 20, S13 (2023): 35–44. http://dx.doi.org/10.59670/ml.v20is13.6266.
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Supply chain management holds a pivotal role in determining the success of businesses, and its effectiveness can significantly influence an organization's performance. Nevertheless, it is vulnerable to a wide array of risks that have the potential to disrupt operations, result in financial losses, and tarnish a company's reputation. This summary offers an insight into the crucial components of evaluating and managing risks within supply chain management. In this context, risk evaluation encompasses the identification and assessment of various risk categories that could impact the supply chain. These risks may include natural disasters, geopolitical challenges, fluctuations in demand, delays in transportation, and issues related to suppliers. A comprehensive risk assessment involves both quantitative and qualitative analysis to gauge the likelihood and potential consequences of these risks on the supply chain. Effective risk management strategies are indispensable for mitigating the adverse effects of these identified risks. Risk management in supply chain management encompasses several actions, such as risk avoidance, risk transfer, risk reduction, and risk acceptance. Developing a resilient supply chain capable of adapting to unforeseen circumstances is also a critical element of risk management. Furthermore, this summary underscores the significance of technological tools and data analytics in the field of risk management. Advanced technologies like the Internet of Things (IoT), blockchain, and artificial intelligence enable real-time monitoring and predictive analytics, which can improve the visibility of risks and provide early warning signals. The success of a supply chain heavily relies on a proactive approach to risk assessment and management. By identifying potential risks, evaluating their impact, and implementing robust risk management strategies, organizations can bolster the resilience of their supply chains and ensure uninterrupted operations even in challenging environments. This abstract emphasizes the significance of understanding, evaluating, and effectively managing risks in supply chain management, as it contributes to an organization's long-term sustainability and competitive advantage.
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Focker, M., H. J. Fels‐Klerx, and A. G. J. M. Oude Lansink. "Optimization of the Aflatoxin Monitoring Costs along the Maize Supply Chain." Risk Analysis 39, no. 10 (2019): 2227–36. http://dx.doi.org/10.1111/risa.13364.
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Zhang, Jingwen. "Strategies for Empowering Supply Chain Risk Management with Big Data." Advances in Economics, Management and Political Sciences 167, no. 1 (2025): 50–56. https://doi.org/10.54254/2754-1169/2025.21150.
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With the rapid development of big data technology, supply chain risk management is facing unprecedented opportunities and challenges. Big data can not only provide accurate risk prediction and real-time monitoring but also reveal potential supply chain risks through data mining and analysis, so as to help enterprises deal with and avoid risks in advance. This study aims to explore the strategy of supply chain risk management under the power of big data and analyze how big data can effectively identify external and internal risks in the supply chain, especially in the uncertain economic environment and global market, how to improve the transparency, adaptability and risk prevention and control level of the supply chain through big data technology. This study also reveals some problems existing in the process of big data enabled supply chain risk management, such as data leakage, lack of technical capacity, information asymmetry, etc., and puts forward corresponding solutions. Finally, the research shows that supply chain risk management enabled by big data can not only enhance supply chain stability but also provide enterprises with effective risk response solutions and promote the intelligent development of supply chain management.
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Zhu, Tian, and Guangchen Liu. "A Novel Hybrid Methodology to Study the Risk Management of Prefabricated Building Supply Chains: An Outlook for Sustainability." Sustainability 15, no. 1 (2022): 361. http://dx.doi.org/10.3390/su15010361.
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The management of the prefabricated building supply chain involves the entire process of prefabricated buildings. There are many uncertain factors, and the risk factors in any link will affect the overall operation of the supply chain. In order to achieve the “dual carbon” goal as soon as possible and promote the sustainable development of the building supply chain, it is very important to study the risk management of the assembly building supply chain. The risk management of the prefabricated building supply chain involves risk recognition, risk prediction, risk assessment, and risk response. In this study, on the basis of literature research, the WBS-RBS (Work Breakdown Structure–Risk Breakdown Structure) method comprehensively uses the working link and risk type of the prefabricated building supply chain to establish an indicator system for risk factors in the prefabricated building supply chain. Then, the risk prediction and evaluation model of the neural network of BP (Back Propagation) through Python software is established to predict the risk of prefabricated building supply chains. After verification, it was found that the accuracy of the training set and test set reached 100% and 96.6667%. The results showed that the BP neural network had good effects on the risk forecast of the prefabricated building supply chain, which provided certain risk predictions for the risk prediction of the prefabricated building supply chain. For reference, on the basis of risk prediction, in order to explore the importance of risk factors to the results of BP neural network prediction results, the characteristic importance algorithm of machine learning replacement features further analyzes the risk factors of the prefabricated building supply chain. Finally, based on the prefabricated construction project of enterprise A, risk prediction and evaluation of its supply chain management were carried out, countermeasures for targeted risks were proposed, and we provided new research on the sustainable development of the assembled building supply chain to provide new research ideas.
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Mulla, Faiz Mohiuddin. "Advanced Approaches to Risk Management in Modern Supply Chain Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–7. https://doi.org/10.55041/ijsrem16697.
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Globalization and the interconnectedness of our economy have made supply chain networks more susceptible to a wider range of risks than ever before, all of which can disrupt operations, undermine business continuity, and put financial stability in jeopardy. These can be anything from traditional threats, such as a lack of supplies or delays in transportation, to more contemporary problems like cyberattacks and political instability (both domestic and foreign). Conventional supply chain risk management methods — which are built on recognizing and counteracting risks that companies face at an organizational level — will not be sufficient for the growing required adaptability of modern, complex supply chains. In this paper, we discuss several more advanced methods for risk totaling, including a proactive approach in identifying risks and modeling only those specific scenarios focused on a supply chain network, data analytics used to identify worst-case supply chain scenarios, and, finally, collaborative risk management approaches. New technologies like Blockchain, Artificial Intelligence (AI), and Internet of Things (IoT) are explored that could be used to optimize the supply chain resilience and scope for real-time risk factor monitoring. The challenges and opportunities of these technologies to reduce risks across the supply chain, from raw material acquisition to the final delivery of products, are also elaborated in several parts of this paper. This paper offers a novel approach to contemporary supply chain risk management, drawing on best practices, case studies, and theoretical frameworks to provide guidance on how organizations can optimize their risk management processes in order to maintain continuity of operations amid both dynamic and evolving risks. It also assesses where AI, IoT, and blockchain can play into existing or innovative risk management strategies, allowing companies to become more nimble to disruptable events. In conclusion, it illustrates that an integrated approach to risk management through technology provides organizations the opportunity to take a proactive stance while maintaining organizational agility under uncertainty and competition — improving supply chain efficiency and customer service. Keywords Supply Chain Risk Management, Risk Mitigation, Supply Chain Resilience, Blockchain, Artificial Intelligence, Internet of Things, Proactive Risk Identification,
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Johan, Zaimy Johana, Veera Pandiyan Kaliani Sundram, Irwan Ibrahim, Muhammad Izwan Mohd Badrillah, and Nor Bakhriah Sarbani. "Risk Assessment and Mitigation in Halal Supply Chains: Exploring Unique Risks and Mitigation Strategies." International Journal of Research and Innovation in Social Science IX, no. III (2025): 3657–71. https://doi.org/10.47772/ijriss.2025.90300290.
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In Malaysia, the halal supply chain is a critical component of the nation’s economic and religious framework, with the government and industry players actively working to ensure compliance with Shariah principles. This study profiles unique risks present in halal supply chains, such as fraud, mislabelling, and contamination, while also exploring effective mitigation strategies. This research is conducted using both qualitative and quantitative methods, such as surveying halal-certified companies throughout Southeast Asia. The results show that halal supply chains have unique challenges and that companies with monitoring systems and partnerships with certification bodies are crucial in managing that risk. As a result, this study could provide insights into risk management in halal industries and produce guidelines for companies operating within these industries.
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Enzokuhle, Grace. "Effectiveness of Risk Management Strategies in Mitigating Supply Chain Disruptions in South Africa." Global Journal of Purchasing and Procurement Management 3, no. 2 (2024): 13–23. http://dx.doi.org/10.47604/gjppm.2769.
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Purpose: The aim of the study was to examine the effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries. Findings: The effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa has proven to be critical in maintaining operational stability and ensuring business continuity. In an environment characterized by frequent economic, political, and environmental challenges, robust risk management strategies have become indispensable for South African businesses. These strategies, including risk assessment, diversification of suppliers, implementation of advanced technologies, and development of contingency plans, have significantly enhanced the resilience of supply chains. By systematically identifying and evaluating potential risks, businesses have been able to proactively address vulnerabilities and reduce the impact of disruptions. The use of advanced technologies, such as predictive analytics, real-time monitoring systems, and blockchain, has further strengthened risk management efforts. These technologies provide valuable insights into supply chain dynamics, enable early detection of potential disruptions, and facilitate rapid response measures. As a result, businesses can maintain smoother operations and minimize downtime during unforeseen events. Unique Contribution to Theory, Practice and Policy: Resilience Theory, Resource-Based View (RBV) & Contingency Theory may be used to anchor future studies on effectiveness of risk management strategies in mitigating supply chain disruptions in South Africa. Encourage the adoption of advanced technologies such as Internet of Things (IoT), artificial intelligence (AI), and blockchain for real-time monitoring and supply chain visibility. Practical implementation of these technologies can enhance early detection of disruptions and facilitate rapid response strategies. Foster closer collaboration with suppliers to co-develop robust contingency plans and risk-sharing mechanisms. Practices such as dual sourcing, supplier diversification, and joint risk assessments can build resilience across the supply chain network. Advocate for policies that incentivize resilience-building practices within supply chains. This could include tax incentives for investments in resilient infrastructure, as well as mandatory reporting on supply chain risk management practices to enhance transparency and accountability.
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Lee, Chung-Hong, Hsin-Chang Yang, Yu-Chen Wei, and Wen-Kai Hsu. "Enabling Blockchain Based SCM Systems with a Real Time Event Monitoring Function for Preemptive Risk Management." Applied Sciences 11, no. 11 (2021): 4811. http://dx.doi.org/10.3390/app11114811.
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The risk of supply chain disruption is usually related to daily disturbances in supply chain operations (e.g., demand fluctuations) and some emergency risks, such as earthquakes and epidemic outbreaks. During a crisis, companies need agility to quickly find new suppliers and open auxiliary sales channels to meet customer needs and remain competitive. However, identifying “event” is one of the most difficult challenges of current decision support systems. If the system encounters an emergency, it is usually unable to promptly notify users of the warning to avoid risks. A sensible solution is to incorporate the real-time event-monitoring system into SCM (i.e., supply chain management) in order to share emergency information in the early stage for preemptive management in the supply chain. On the other hand, in order to process confidential supply chain data with other members, the SCM infrastructure requires secure data sharing. The blockchain-based SCM system can improve the transparency of traceability to ensure that the supply chain system provides high-quality products and protects data privacy and security. The view is taken; therefore, in this work, we combined a method of real-time event detection using collected Twitter data and blockchain technology for event monitoring to improve the visibility of the supply chain system and take preemptive measures for risk avoidance. The experiments show some interesting results and potentials for future work in the field of the agile supply chain.
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Narayanan, N. Sureshkumar PP, Farha Ghapar, Li Lian Chew, et al. "Artificial Intelligence-Powered Risk Assessment in Supply Chain Safety." Information Management and Business Review 16, no. 3S(I)a (2024): 107–14. http://dx.doi.org/10.22610/imbr.v16i3s(i)a.4124.
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The increasing complexity and globalization of supply chains necessitate robust risk management strategies to ensure safety and resilience. Traditional risk assessment methods often fall short in dynamically adapting to the rapidly changing conditions and voluminous data inherent in modern supply chains. This study explores the potential of Artificial Intelligence (AI)-powered risk assessment to address these limitations in the context of Malaysia's supply chain industry. By employing AI technologies such as machine learning, IoT, and predictive analytics, organizations can significantly enhance their risk management capabilities, improving predictive accuracy, real-time monitoring, and overall operational efficiency. Through a qualitative analysis involving in-depth interviews with supply chain managers, AI experts, and technology vendors, the study identifies the strategies employed for AI integration, the perceived effectiveness of these technologies, and the challenges faced in implementation. The findings highlight the importance of robust data governance, the development of explainable AI models, and continuous skill development to overcome barriers related to data quality, model interpretability, and high implementation costs. The study concludes with recommendations for fostering a safer and more resilient logistics environment in Malaysia, emphasizing the need for comprehensive AI adoption frameworks and scalable solutions for small and medium-sized enterprises.
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Harsh Yadav and Dr. Bhoomi Gupta. "Risk Resilient Supply Chain Management using Blockchain Technology." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 33–39. http://dx.doi.org/10.46501/ijmtst061207.
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In recent times, Blockchain technology (BCT) has also received considerable attention outside the financial sector. The thought of Blockchain is much beyond than Bitcoin and Cryptocurrencies. Exploring the chances within the Blockchain universe multiple applications of BCT in Supply Chain Management (SCM) are often implemented. During this paper, we shall combine these two perspectives on BCT in SCM to summarize a current state of the art and to derive avenues for further research. This paper aims to investigate the role of Blockchain in sustainable supply chain management and explore the applications which can contribute towards building a risk resilient supply chain. This paper examines the supply chain management system including the technologies involved and the methodologies. The approach used for making a supply chain monitoring web app through which we can implement a system which makes it easy and efficient to track a product throughout its life-cycle.
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Yan, Yan, Hui Sun, Qiang Liu, and Hongyan Li. "Impact of Business Model Innovation on Risk Immunization in the Quality Chain." Journal of Business and Marketing 1, no. 2 (2024): 145–49. http://dx.doi.org/10.62517/jbm.202409222.
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Business model innovations do have an important impact in improving the immunization of the quality chain against risks. Through the introduction of new data collection, analysis and monitoring technologies, enterprises can achieve supply chain visualization and transparency, thereby gaining a more comprehensive understanding of the operation of the entire supply chain. This visualization and transparency can help identify potential quality issues or risk points in a timely manner and improve the monitoring and management efficiency of the supply chain. Through the establishment of a good partnership, enterprises can establish a closer cooperation and communication mechanism with suppliers and partners, share the responsibility for quality, and jointly promote quality management and risk control. It helps to improve the stability and reliability of the entire supply chain. Through the introduction of technical means, such as blockchain, enterprises can realize the full tracking and recording of the product production process to ensure product quality and safety. At the same time, through the establishment of a sound brand protection mechanism, enterprises can effectively prevent the inflow of counterfeit and shoddy products, and protect their brand reputation and market position. By adopting intelligent production technology and supply chain management tools, enterprises can more flexibly adjust their production plans and supply strategies, respond to market changes and risk challenges in a timely manner, and improve the overall immunity to risk in the quality chain.
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Abhinav, Balasubramanian, and Gurushankar Niranjana. "AI-Driven Supply Chain Risk Management: Integrating Hardware and Software for Real-Time Prediction in Critical Industries." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 8, no. 3 (2020): 1–11. https://doi.org/10.5281/zenodo.14565873.
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Supply chain disruptions pose significant challenges to critical industries, demanding proactive risk management strategies. This research explores a novel approach by integrating AI-driven hardware and software components for real-time prediction and mitigation of supply chain risks. The study emphasizes the synergy between advanced hardware, such as IoT sensors and RFID tags for real-time data acquisition across the supply chain, and sophisticated AI algorithms implemented through software solutions. This integrated framework enables continuous monitoring of critical parameters, including environmental conditions, location tracking, and product quality. By analyzing this real-time data, the AI system identifies potential disruptions, predicts their impact, and facilitates proactive interventions. This research contributes to the development of resilient and adaptive supply chains in critical industries by combining the strengths of both hardware and software advancements.
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Apurv Jha, Aditya Raut, Hemant Taneja, Vishwajeet Dalvi, and Ms. Uttara Varade. "Supply Chain Management Using Block Chain Technology." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 07 (2024): 1931–36. http://dx.doi.org/10.47392/irjaeh.2024.0264.
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The incorporation of blockchain technology in supply chain management has emerged as a revolutionary solution, offering enhanced transparency, efficiency, and security across the entire supply chain network. This study presents a thorough examination of the intersection between supply chain management and blockchain, emphasizing the key advantages, obstacles, and recent advancements. The integration of blockchain in supply chain management tackles crucial issues such as traceability, origin, and trust. Through the establishment of a decentralized and unchangeable ledger, stakeholders throughout the supply chain obtain immediate insight into the flow and condition of products. This level of transparency not only minimizes the risk of fraud and counterfeiting but also strengthens the overall resilience of the supply chain. The proposed framework will leverage Blockchain technology to establish a transparent and tamper-resistant record of every transaction and event across the supply chain lifecycle. Every participant in the supply chain ecosystem, including suppliers, manufacturers, distributors, logistics providers, and consumers, will be able to access a shared ledger, facilitating real-time monitoring of the movement and status of products.
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Junaid, Muhammad, Ye Xue, Muzzammil Wasim Syed, Ji Zu Li, and Muhammad Ziaullah. "A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan." Sustainability 12, no. 1 (2019): 154. http://dx.doi.org/10.3390/su12010154.
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Risk is inherent in all parts of life and brings consequences, but when it specifically emerges in supply chains, it is susceptible. Therefore, this study aims at identifying and assessing supply chain risks and developing criteria for managing these risks. Supply chain (SC) risks consist of complex, uncertain, and vague information, but risk assessment techniques in the literature have been unable to handle complexity, uncertainty, and vagueness. Therefore, this study presents a holistic approach to supply chain risk management. In this paper, neutrosophic (N) theory is merged with the analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) to deal with complexity, uncertainty, and vagueness. Then the proposed methodology is practically implemented through a case study on the automotive industry. SC resilience, SC agility, and SC robustness were selected as criteria for managing supply chain risks and analyzed using N-AHP. Furthermore, seventeen risks were identified and assessed by using N-TOPSIS. Results suggest supply chain resilience is the most important criterion for managing supply chain risks. Moreover, supplier delivery delays, supplier quality problems, supplier communication failures, and forecasting errors are the most vulnerable risks that occur in supply chains of the automotive industry in Pakistan.
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Habani, Mosaab A., and Suzilawati Kamaruddin. "The Influence of Strategic Leadership, Business Continuity Planning and Supply Chain Resilience on Organizational Performance: Instrument Validation." Business Management and Strategy 12, no. 2 (2021): 228. http://dx.doi.org/10.5296/bms.v12i2.19101.
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Managing supply chain disruption needs to be considered an important activity for organizations. Supply chain risk management implies identifying, assessing, monitoring, and evaluating the potential risks across all supply chain members. The process of risk management emphasizes the improvement of supply chain performance through designing appropriate strategies. To be more precise, the chief responsibility in supply chain risk management is to ensure quality performance during crises and disruptions. Hence, identifying and validating risk-relevant factors that leads to superior business performance is necessary. This study aims to validate the instrument to measure the impact of factors associated with business performance i.e., strategic leadership, business continuity planning, and resilience to disruption. This paper contributes to the literature by developing a comprehensive model that strengthens a firm’s resilience to disruption and leads to superior business performance.
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Dellana, Scott, and David West. "Survival analysis of supply chain financial risk." Journal of Risk Finance 17, no. 2 (2016): 130–51. http://dx.doi.org/10.1108/jrf-11-2015-0112.
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Purpose The purpose of this paper is to apply survival analysis, using Cox proportional hazards regression (CPHR), to the problem of predicting if and when supply chain (SC) customers or suppliers might file a petition for bankruptcy so that proactive steps may be taken to avoid a SC disruption. Design/methodology/approach CPHR is first compared to multiple discriminant analysis (MDA) and logistic regression (LR) to assess its suitability and accuracy to SC applications using three years of financial quarterly data for 69 non-bankrupt and 74 bankrupt organizations. A k-means clustering approach is then applied to the survival curves of all 143 organizations to explore heuristics for predicting the timing of bankruptcy petitions. Findings CPHR makes bankruptcy predictions at least as accurately as MDA and LR. The survival function also provides valuable information on when bankruptcy might occur. This information allows SC members to be prioritized into three groups: financially healthy companies of no immediate risk, companies with imminent risk of bankruptcy and companies with intermediate levels of risk that need monitoring. Originality/value The current paper proposes a new analytical approach to scanning and assessing the financial risk of SC members (suppliers or customers). Traditional models are able to predict if but not when a financial failure will occur. Lacking this information, it is impossible for SC managers to prioritize risk mitigation activities. A simple decision rule is developed to guide SC managers in setting these priorities.
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Shchekhovska, Larysa. "Transparency and sustainability: a new paradigm for supply chain management." Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020, no. 30 (April 28, 2025): 47–53. https://doi.org/10.46783/smart-scm/2025-30-4.
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This research examines the evolving paradigm of supply chain management that integrates transparency and sustainability as core operational principles. The study investigates how modern supply chains are transitioning from traditional models focused primarily on efficiency and cost reduction to more holistic frameworks that incorporate environmental stewardship, social responsibility, and economic sustainability. Through comprehensive analysis, the research identifies transparency as a critical enabler of sustainable supply chain practices, introducing a six-dimensional framework that encompasses traceability, transaction, impact, policy and commitment, activity, and effectiveness information. The study presents a systematic four-step process for building transparency in supply chains: identifying and prioritizing risks, visualizing risks through mapping techniques, implementing transparency levers to bridge information gaps, and developing robust management and monitoring systems. The findings demonstrate that supply chain transparency not only mitigates risks related to environmental and social impacts but also creates long-term value for all stakeholders. The paper argues that transitioning from traditional monitoring approaches to transparency-centered sustainability management systems encourages supplier ownership of sustainability initiatives and fosters collaborative relationships throughout the supply chain. This paradigm shift ultimately transforms supply chain management from a potential source of reputational and operational risk to a strategic driver of competitive advantage and sustainable development. The practical implications include methodologies for companies to implement transparent and sustainable supply chain practices that align with global standards such as the United Nations Global Compact principles while improving operational resilience and stakeholder trust.
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Erakpotobo, Vincent Oyovwevotu, and Justice Oborakpororo Omo OKEI. "The Mitigating Effect of Supply Chain Risk Management in Marginal Field Oil and Gas Companies in Nigeria." International Journal of Research and Innovation in Social Science 06, no. 02 (2022): 520–25. http://dx.doi.org/10.47772/ijriss.2022.6224.
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Historically, oil and gas was discovered in Nigeria in 1956 by Shell petroleum at Oloibiri now Bayelsa state. The oil and gas industry is divided into upstream, downstream and mid-stream respectively in Nigeria. Each of the petroleum sectors performs different functions in terms of exploration, refining and distributions and with respective supply chains. In course of the supply chain distribution, distractions in form of turbulence and disruption can occur which could have serious effects on operations and performance. Hence this study focused on the mitigating effect of supply chain risk management in marginal field oil and gas companies in Nigeria. It is field survey and case type of research. A total of 687 Management and Senior staff of nine marginal filed oil and gas companies constituted that population while 325 formed that sample size. The main instrument was questionnaire administration and analysed using descriptive statistics. The study found that application and proper management of supply, demand, information, transportation and monitoring risk mitigation strategies are critical factors enhancing reduction of risks in marginal field oil and gas in Nigeria. It therefore recommended that there should proper coordination of information, monitoring, demand and supply chain risk management in order to reduce vulnerability of disruptions and distraction in operations.
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Imbiri, Soleman, Raufdeen Rameezdeen, Nicholas Chileshe, and Larissa Statsenko. "A Novel Taxonomy for Risks in Agribusiness Supply Chains: A Systematic Literature Review." Sustainability 13, no. 16 (2021): 9217. http://dx.doi.org/10.3390/su13169217.
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Agribusiness supply chain (ASC) risk is currently a major business problem throughout the world. The current trend of globalisation has affected every business, and supply chain risks have become a concern in logistics and other business processes. Current risk management strategies must address a variety of global and local challenges. To tackle this issue, existing research has analysed risks in agrifood supply chains, ASC risk management, disruption in ASCs, risk assessments of agriculture supply chains and sources of risk facing an agricultural supply chain. However, the existing research has not defined and categorised risks as a basis for managing risks in ASCs. Therefore, the definition and categorisation of risks in the ASC has been overlooked. To address this gap, this paper undertakes a systematic literature review, offering constructs to define and categorise risks in ASCs, and develops a novel taxonomy in ASC risks to enrich future research on ASC risk management. Sixty-one articles from six databases published between 2000 and 2020 underwent descriptive and thematic analysis.
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Zhou, Yang. "Blockchain Technology Improves the Resilience of Manufacturing Supply Chain An Exploration Based on Grounded Theory." Advances in Economics, Management and Political Sciences 128, no. 1 (2024): 91–102. https://doi.org/10.54254/2754-1169/2024.18266.
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In recent years, the manufacturing supply chain has faced significant disruptions due to events such as the COVID-19 pandemic and geopolitical tensions. These events have exposed the vulnerabilities in global supply chains, emphasizing the need for greater resilience. This study explores the role of blockchain technology in enhancing the resilience of manufacturing supply chains through a grounded theory approach. This research conducted semi-structured interviews with experts and practitioners from various manufacturing sectors, including electronics, machinery, and medical devices. The findings reveal that blockchain technology significantly improves supply chain transparency, traceability, data security, inventory management, and risk management. The decentralized and immutable nature of blockchain allows for real-time monitoring and efficient coordination across the supply chain, facilitating rapid recovery and continuous operations during disruptions. Additionally, blockchain enhances collaboration and trust among supply chain partners through transparent and secure information sharing. This research provides valuable insights and practical guidance for manufacturing companies seeking to leverage blockchain technology to strengthen their supply chain resilience. By improving these key areas, blockchain can help companies better navigate the complexities and uncertainties of the global market.
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David Olanrewaju Olutimehin, Onyeka Chrisanctus Ofodile, Irunna Ejibe, Olusegun Gbenga Odunaiya, and Oluwatobi Timothy Soyombo. "THE ROLE OF TECHNOLOGY IN SUPPLY CHAIN RISK MANAGEMENT: INNOVATIONS AND CHALLENGES IN LOGISTICS." International Journal of Management & Entrepreneurship Research 6, no. 3 (2024): 878–89. http://dx.doi.org/10.51594/ijmer.v6i3.941.
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The review delves into the pivotal role of technology in revolutionizing supply chain risk management practices within the logistics sector. The paper explores the myriad of risks faced by modern supply chains, ranging from natural disasters and geopolitical tensions to cyber threats and disruptions in global trade patterns. It investigates how technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and predictive analytics are reshaping traditional risk management approaches by providing real-time visibility, data-driven insights, and proactive mitigation strategies. Through a comprehensive analysis, the study examines the transformative potential of these technologies in enhancing supply chain resilience, agility, and responsiveness to unforeseen disruptions. It highlights the benefits of leveraging blockchain technology for secure and transparent supply chain transactions, IoT sensors for real-time monitoring of goods in transit, AI algorithms for predictive risk modeling, and predictive analytics for identifying and mitigating potential disruptions before they escalate. Furthermore, the paper delves into the challenges and complexities associated with adopting and integrating these technologies into existing supply chain processes, including interoperability issues, data privacy concerns, and the need for specialized expertise. By providing practical insights, case studies, and best practices, the study aims to empower logistics professionals, policymakers, and industry stakeholders to harness the full potential of technology-driven solutions in managing supply chain risks effectively and ensuring business continuity in an increasingly uncertain and volatile global environment.
 Keywords: Technology, Supply Chain, Risk Management, Innovations, Challenges, Logistics.
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Lin, Sin-Jin, Te-Min Chang, and Ming-Fu Hsu. "Valuing and Risk Analysis for Supply Chain Management." Journal of Global Information Management 31, no. 1 (2023): 1–25. http://dx.doi.org/10.4018/jgim.327866.
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This research presents the contribution of profitability and asset utilization to a firm's value generation from a financial market viewpoint via slack-based measure network data envelopment analysis (SBM-NDEA). Despite its superiority in performance measurement, SBM-NDEA has a limitation when confronted with new added datasets as it lacks predictive ability. To overcome this, the authors integrate twin support vector machine into it. A manager's attitude toward risks also plays an essential role in efficiency improvement and value generation, but numerical messages do not convey such information. Textual messages with elastic natures thus bring information beyond just numerical messages. To assist users in quantifying risk types, the authors introduced an advanced text analyzer to conjecture a manager's attitude toward each risk. The results show that the performance evaluation model with forecasting capability can shift the manager's role from monitoring the past to planning the future. This study also demonstrates that the model with textual information reaches superior forecasting performance.
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Shiksha, Rout. "Third-Party Risk Management Auditing Vendor and Supply Chain Security." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 10, no. 4 (2022): 1–10. https://doi.org/10.5281/zenodo.14040183.
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The rise of globalization and digital transformation has led to an increasing reliance on third-party vendors and suppliers, making third-party risk management a critical aspect of organizational security. This paper discusses the growing importance of auditing third-party vendors and supply chain partners to ensure compliance with security standards and regulatory requirements. Effective auditing processes are essential for identifying vulnerabilities, assessing risk exposure, and verifying that vendors implement necessary security measures. Furthermore, the paper highlights the challenges organizations face in maintaining oversight of complex supply chains and the need for comprehensive risk assessment frameworks. It emphasizes the role of continuous monitoring and performance metrics in enhancing the effectiveness of audits. The integration of advanced technologies, such as artificial intelligence and data analytics, can facilitate more efficient auditing processes, allowing for real-time risk identification and remediation. This study advocates for a proactive approach to third-party risk management that not only safeguards organizational assets but also fosters trust and collaboration within supply chains. By adopting robust auditing practices, organizations can mitigate risks, enhance resilience, and ensure that their vendors meet the required security and compliance standards.
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Romano, André Luiz, Luís Miguel D. F. Ferreira, and Sandra Sofia F. S. Caeiro. "Modelling Sustainability Risk in the Brazilian Cosmetics Industry." Sustainability 13, no. 24 (2021): 13771. http://dx.doi.org/10.3390/su132413771.
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Supply chains involve several stakeholders, with different environmental, social, economic, and ethical attributes, and are exposed to various risks along all stages. One of these risks relates to conditions or events related to sustainability that have the potential to generate harmful reactions from stakeholders in the supply chain. Those risks can materialize through stakeholders’ responses, when they hold companies responsible for unfavorable conditions in the supply chain, leading to reputational damage. Understanding the supply chain’s sustainability risk factors can help companies improve supply chain resilience. This article aims to empirically identify the most influential risk factors in the Brazilian cosmetics supply chain and, additionally, analyze the interrelationships between these risks. The methodology combines interpretative structural modeling (ISM) and matrix cross-impact multiplication (MICMAC) analysis, and is grounded in the opinions of cosmetics industry experts. Firstly, the critical causes and consequences are identified, called factors. Secondly, the ISM model is built, representing the interrelationships between factors and their hierarchy. Thirdly, the MICMAC analysis is performed, unfolding the strength of the relationship among the influencing factors. Fourthly, measures are designed to act on and mitigate the factors identified in the previous steps. The results show that the Brazilian cosmetic companies analyzed do not take advantage of the opportunity to take leadership in cost reduction, differentiation, and engagement with their partners. “Financial risks” were identified as the most influential among the set of risks, while “Technology and innovation” and “Legislation and responsibility” were identified as root risk factors. This research identified measures that could be implemented to act on and mitigate the root risk factors, thus contributing to the research relating to sustainability risks in supply chains.
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Agnes Clare Odimarha, Sodrudeen Abolore Ayodeji, and Emmanuel Adeyemi Abaku. "The role of technology in supply chain risk management: Innovations and challenges in logistics." Magna Scientia Advanced Research and Reviews 10, no. 2 (2024): 138–45. http://dx.doi.org/10.30574/msarr.2024.10.2.0052.
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The review delves into the pivotal role of technology in revolutionizing supply chain risk management practices within the logistics sector. The paper explores the myriad of risks faced by modern supply chains, ranging from natural disasters and geopolitical tensions to cyber threats and disruptions in global trade patterns. It investigates how technological innovations such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and predictive analytics are reshaping traditional risk management approaches by providing real-time visibility, data-driven insights, and proactive mitigation strategies. Through a comprehensive analysis, the study examines the transformative potential of these technologies in enhancing supply chain resilience, agility, and responsiveness to unforeseen disruptions. It highlights the benefits of leveraging blockchain technology for secure and transparent supply chain transactions, IoT sensors for real-time monitoring of goods in transit, AI algorithms for predictive risk modeling, and predictive analytics for identifying and mitigating potential disruptions before they escalate. Furthermore, the paper delves into the challenges and complexities associated with adopting and integrating these technologies into existing supply chain processes, including interoperability issues, data privacy concerns, and the need for specialized expertise. By providing practical insights, case studies, and best practices, the study aims to empower logistics professionals, policymakers, and industry stakeholders to harness the full potential of technology-driven solutions in managing supply chain risks effectively and ensuring business continuity in an increasingly uncertain and volatile global environment.
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Chukwu, Nnaji, Simo Yufenyuy, Eunice Ejiofor, et al. "Resilient Chain: AI-Enhanced Supply Chain Security and Efficiency Integration." International Journal of Scientific and Management Research 07, no. 03 (2024): 46–65. http://dx.doi.org/10.37502/ijsmr.2024.7306.
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In most recent time, the global landscape of supply chain management has experienced unprecedented challenges during the COVID-19 pandemic, which has significantly impacted the routine and smooth operations of different firms in the United States. This paper explains about the importance of artificial intelligence (AI) and machine learning (ML) in the mitigation of these disruptions and possible ways of improving supply chain security and its efficiency. This research adopted a questionnaire survey involving 281 managers, with the aim to comprehensively examine the current state of AI integration across the U.S. supply chain sector, with focus on some key components like real-time tracking, cost optimization, and risk management. A mixed method approach was adopted for this research, utilizing both inferential and descriptive analyses to unravel insights and trends into the role of AI in enhancing supply chain security. The results indicate that integrating AI, most especially through cost optimization, real-time tracking, and risk management components, emerges as a significant determinant of supply chain security in the United States. Real-time tracking technologies are identified as crucial for monitoring shipments and assets, enabling quick responses to security incidents, and ensuring end-to-end visibility throughout the supply chain. Despite the potential benefits, the study highlights challenges that hinder the widespread integration of AI technologies in the U.S. supply chain. The high cost of AI adoption and the limited availability of skilled personnel are major obstacles. To address these challenges, the paper proposes practical recommendations. Firstly, real-time tracking technologies are recommended to monitor shipments and assets, facilitating rapid responses to security incidents, and ensuring visibility across the entire supply chain. Furthermore, the paper suggests optimizing costs by investing in cost-effective security solutions. This includes leveraging AI for automated monitoring systems and adopting secure packaging measures. These strategies aim to minimize vulnerabilities without compromising security standards, offering a balanced approach to enhancing supply chain security while mitigating the financial implications associated with AI adoption.
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Yamin, Mohammad Ali. "Investigating the Drivers of Supply Chain Resilience in the Wake of the COVID-19 Pandemic: Empirical Evidence from an Emerging Economy." Sustainability 13, no. 21 (2021): 11939. http://dx.doi.org/10.3390/su132111939.
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The COVID-19 pandemic has disrupted supply chain operations globally. Nevertheless, resilient firms have the capacity to combat an unprecedented situation with the right strategic approach. The current research has developed an integrated research model that combines factors such as supply chain intelligence, supply chain communication, leadership commitment, risk management orientation, supply chain capability and network complexity to investigate supply chain resilience. The research model of this study was empirically tested with 309 responses collected from supply chain managers. Results revealed that supply chain resilience is measured with supply chain intelligence, supply chain communication, leadership commitment, risk management orientation, supply chain capability and network complexity and demonstrated a substantial variance R2 of 0.548% towards supply chain resilience. Practically, this study suggests that supply chain managers should focus on factors such as big data analytics, risk management orientation,1 supply chain communication and leadership commitment to enhance supply chain resilience and sustainable supply chain performance.
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Cui, Lichong, Huayu Chu, Lei Su, Yanyang Fu, Qi Wang, and Zihan Li. "Health monitoring method of power supply chain based on R-tree dynamic index algorithm." Journal of Physics: Conference Series 2914, no. 1 (2024): 012026. https://doi.org/10.1088/1742-6596/2914/1/012026.
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Abstract In order to discover and manage the risks in the supply chain in time, the entire supply chain is clearly defined, and a health monitoring method for the power grid material supply chain based on the R-tree dynamic index algorithm is constructed. The overall internal supply chain operation structure of the power company is analyzed. The speed histogram is used to divide the speed field corresponding to the index algorithm in order to measure the node speed domain accurately. The rectangular bounding box of the root node is calculated. The internal health data of the power supply chain is identified. The fuzzy clustering operation is used. The original sample size is obtained. The algorithm data is clustered under the action of the index matrix. Bad data is identified in the supply chain. The overlap threshold and the intra-class compact threshold are initialized. The R-tree dynamic index of the optimal clustering is obtained. Quantity output results are generated, and unhealthy data in the material supply chain is classified. The identification and monitoring of unhealthy data in the supply chain are realized. Experiments show that the proposed method can efficiently monitor the risk factors existing in the material supply chain, and the monitoring of supply chain health risks is consistent with the actual occurrence value, the error is small, the method is feasible and effective, and the robustness is good.
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Mistissy, Gabriella, Dadan Umar Daihani, and Pudji Astuti. "Perancangan Strategi Mitigasi Risiko Supply Chain PT. XYZ." JURNAL TEKNIK INDUSTRI 11, no. 2 (2021): 164–72. http://dx.doi.org/10.25105/jti.v11i2.9779.
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Intisari---Guna menjadi partner dari customer dengan permintaan yang beragam, diperlukan output produk yang bermutu, delivery yang tepat waktu, tepat guna, serta penawaran harga yang bersaing. Banyak aspek yang dapat menyebabkan perusahaan tidak dapat mencapai kepuasan pelanggan, beberapa diantaranya disebabkan oleh delay atau kesalahan dari salah satu proses bisnis perusahaan seperti contoh yang terjadi pada PT. XYZ. Perusahaan tersebut merupakan pemasok komponen otomotif yaitu fasteners untuk keperluan perusahaan multinasional domestik maupun internasional. Untuk mengatasi kemungkinan timbulnya kesalahan berulang maka diperlukan strategi meminimalisir penyebab timbulnya risiko kesalahan ketika berlangsung proses bisnis berkaitan dalam rantai pasok utama, serta mencegah terulangnya kembali risiko kerugian. Tujuan penelitian ini untuk menyusun identifikasi risiko dengan memberikan tindakan pencegahan pada agen risiko, menyusun strategi mitigasi untuk agen risiko terpilih berdasarkan rasio total efektivitas, mengatasi tingkat kesulitan dan tindakan mitigasi mana yang dapat mereduksi banyak agen risiko dengan nilai yang tinggi.Metode penulisan yang digunakan adalah House Of Risk, dengan penilaian risiko yang terdiri dari 2 tahap yaitu House of Risk 1 dan House of Risk 2. Terdapat 9 tindakan pencegah risiko yang dapat digunakan untuk mengurangi atau menghilangkan munculnya agen risiko yang didapatkan dari studi literatur dan diskusi dengan stakeholder. Dari 19 kejadian risiko, agen risiko yang paling mempengaruhi kejadian risiko berjumlah 21. Dari hasil pemetaan house of risk fase 2, didapatkan 9 rancangan strategi mitigasi risiko yang didapatkan dari studi literatur dan diskusi dengan stakeholder. Diantaranya adalah perusahaan perlu membuat sistem manajemen informasi produk, pemberian penanda lokasi, penugasan kepala regu untuk aktivitas pemantauan, update skill matrix, pemberian standarisasi kode dalam input data kode produk, pemetaan waktu dan lokasi pengiriman, penggunaan sistem dashboard monitoring, pemberian training ulang pada karyawan sesuai dengan lingkup pekerjaan, integrasi antar fungsi dalam perusahaan ditingkatkan. Abstract---To become a partner of customers with various demands, it requires quality product output, timely, efficient delivery, and competitive prices. There are many aspects that can cause the company to be unable to achieve customer satisfaction, some of which are caused by delays or errors in one of the company's business processes such as what happened at PT. XYZ. The company is a supplier of fasteners automotive components for domestic and international multinational companies. To overcome the possibility of recurring errors, a strategy is needed to minimize the causes of the risk of errors when a business process takes place in the main supply chain, as well as to prevent the risk of loss from recurring. The purpose of this study was to compiling risk identification by providing preventive measures to risk agents, develop a mitigation strategy for selected risk agents based on the ratio of total effectiveness, overcoming difficulty levels and which mitigation measures can reduce many risk agents with high scores.The writing method used is House of Risk, with a risk assessment consisting of 2 stages, namely House of Risk 1 and House of Risk 2. There are 9 risk prevention measures that can be used, to reduce or eliminate the emergence of risk agents obtained from literature studies and discussions with stakeholders. From the results of phase 2 house of risk mapping, 9 risk mitigation strategy designs were obtained from literature studies and discussions with stakeholders. Among them are companies need to create a product information management system, provide location markers, assign team heads for monitoring activities, update skill matrixes, provide code standardization in product code data input, map delivery times and locations, use dashboard monitoring systems, provide retraining to employees. According to the scope of work, the integration between functions within the company is improved.