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Giannakis, Mihalis, Konstantina Spanaki, and Rameshwar Dubey. "A cloud-based supply chain management system: effects on supply chain responsiveness." Journal of Enterprise Information Management 32, no. 4 (July 3, 2019): 585–607. http://dx.doi.org/10.1108/jeim-05-2018-0106.
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Purpose Despite the ongoing calls for the incorporation of the cloud utility model, the effect of the cloud on elements of supply chain performance is still an evolving area of research. The purpose of this paper is to develop the architecture of a cloud-based supply chain management (C-SCM) ecosystem and explore how it enhances supply chain responsiveness (SCR). Design/methodology/approach First, the authors discuss the potential benefits that cloud computing can yield, compared to existing mature SCM information systems and solutions through a comprehensive literature review. The authors conceptualise SCR in terms of the level of visibility in the supply chain, supply chain flexibility and rapid detection and reaction to changes, and then the authors build the detailed architecture of a C-SCM system. The proposed ecosystem introduces a view of SCM and the associated practices when transferred to cloud environments. The potential to enhance SCR through the cloud is explored with scenarios on a case of supply chain operations in fashion retail industry. Findings The findings show that the proposed system can enhance all three dimensions of SCR. Implications for supply chain practice and how companies can migrate to a cloud supply chain are drawn. Originality/value Given that the development, creation and delivery of goods and services are increasingly becoming a joint effort of several parties in a supply chain, the authors contribute to the existing literature by introducing a comprehensive C-SCM system and show how companies can enhance their SCR.
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Jede, Andreas, and Frank Teuteberg. "Towards cloud-based supply chain processes." International Journal of Logistics Management 27, no. 2 (August 8, 2016): 438–62. http://dx.doi.org/10.1108/ijlm-09-2014-0139.
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Purpose – There are cloud computing (CC) services available for various applications within the supply chain management (SCM). These services offer, for example, consistent global networking platforms and enable quick decision making, which may strengthen competitive advantages. The specification of the single-related elements and the coordination mechanisms between actors and information flows is complex. In this paper, the authors argue that reference models can accelerate understanding these processes. The purpose of this paper is to gain an understanding of the current state of the underlying research field and to present a reference model that supports theory and practice in adopting CC services at SCM. Design/methodology/approach – This paper provides a cross-discipline systematic literature review from the research perspectives of information systems and SCM. Based on 102 papers, the authors designed a reference model showing the interrelations between various elements of CC and SCM. Findings – The authors discover the most important chances and risks for CC implementations in supply chain (SC) processes and pay special attention to SC sustainability aspects of CC. Until now, SCM research in the realm of CC usage is still in its infancy both in theory and practice. Originality/value – To the best of the authors’ knowledge, there is no systematic literature review that consistently focusses CC usage within SC processes while integrating specific aspects of strategic theory. The obtained insights lead to the first SCM-related reference model for CC usage.
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Truong, Dothang. "Efficiency and Risk Management Models for Cloud-Based Solutions in Supply Chain Management." International Journal of Business Analytics 2, no. 2 (April 2015): 14–30. http://dx.doi.org/10.4018/ijban.2015040102.
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Cloud computing has been proven to have numerous benefits for organizations, especially in supply chain management. More and more organizations have adopted cloud-based solutions to be their primary sourcing applications. Nevertheless, this technology is not without challenges, and in order to deploy and implement cloud-based solutions successfully with minimal risks organizations need to have practical guidance on this emerging technology. Despite the rapid growth of cloud computing in supply chain areas, the existing literature is still conceptual, inadequate, and mainly focused on the pre-adoption stage of this technology. This research examines the post-adoption stage of cloud-based supply chain solutions from the decision science perspective and intends to provide organizations with practical guidance on how to ensure the efficiency of a cloud-based supply chain system and control risks associated with cloud-based solutions.
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Shee, Himanshu, Shah Jahan Miah, Leon Fairfield, and Nyoman Pujawan. "The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management." Supply Chain Management: An International Journal 23, no. 6 (September 10, 2018): 500–517. http://dx.doi.org/10.1108/scm-09-2017-0309.
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PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.
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Schniederjans, Dara G., Koray Ozpolat, and Yuwen Chen. "Humanitarian supply chain use of cloud computing." Supply Chain Management: An International Journal 21, no. 5 (August 8, 2016): 569–88. http://dx.doi.org/10.1108/scm-01-2016-0024.
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Purpose The purpose of this paper is to examine the impact of cloud computing (CC) use on collaboration and its ultimate impact on the agility of humanitarian supply chains. Further, this paper aims to analyze the moderating role of inter-organizational trust in the relationship between CC use and collaboration. Design/methodology/approach This paper provides an empirical assessment of CC use based on an interview analysis of 19 individuals from humanitarian organizations. A survey questionnaire is later used with 107 participants from US relief organizations. Partial least squares test is used to examine the relationships depicted in the conceptual model. Findings The results provide an account of how CC is used in a humanitarian context. Further, the results indicate that CC use has a positive and significant impact on collaboration between humanitarian organizations and their suppliers. Collaboration is found to be significantly positively associated with agility in humanitarian organizations. Research limitations/implications No study, to the best of the authors’ knowledge, has empirically assessed the impact of CC use on humanitarian supply chain collaboration. This will be the first study to empirically analyze the relationships between CC use, inter-organizational trust, collaboration and agility in a humanitarian context. Practical implications This study provides a theoretically and empirically validated model depicting the relationships between CC use, collaboration, agility and inter-organizational trust in humanitarian supply chains. Humanitarian organizations can use these findings to optimize agility. Originality/value This study contributes to supply chain management research, particularly humanitarian supply chain management knowledge, by empirically examining the usefulness of CC use on collaboration and agility in the supply chain.
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Shirzad Talatappeh, Sahra, and Ali Lakzi. "Developing a model for investigating the impact of cloud-based systems on green supply chain management." Journal of Engineering, Design and Technology 18, no. 4 (November 27, 2019): 741–60. http://dx.doi.org/10.1108/jedt-06-2019-0161.
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Purpose Cloud computing is one of the technologies that improves performance and reduces costs in companies through flexible and easy access to computational resources. Supply chain management is one of the widespread and unlimited computing resources. Applying cloud computing to the green supply chain will eliminate constraints and speed up the implementation of various chain processes. Therefore, this paper aims to present a model and framework for assessing the impact of cloud computing on green supply chain management, which improves the performance of the resulting system in comparison with previous systems. Design/methodology/approach In this study, a self-made questionnaire containing 38 questions was used to collect data. The questions were compiled based on the variables identified in previous studies. Besides, the answers to the questions were based on the five-point Likert scale (strongly disagree, disagree, no opinion, agree and strongly agree). By reviewing the subject literature, the factors that affect the green supply chain management have been identified, which include cost of services, user-friendly software, energy consumption, subscription and collaboration capabilities and self-service ability. Findings The findings confirmed the fitness of the proposed model and showed the impact of cloud computing on green supply chain management. In addition, results showed that considered variables (service cost, user-friendly applications, energy consumption, sharing and collaboration and self-service) significantly affect the success management of green supply chain. Practical implications The results of this research show that, to help effective management of the complexity of the supply chain, many companies have adopted an advanced IT strategy to increase the flow of information and, in turn, to increase their competitive advantage. Originality/value The development of a cloud computing-based green supply chain management system can lead to improved system performance compared to traditional systems, which can revolutionize a wide range of industries and businesses by clarification of businesses and making the processes smart. It can also reduce costs and improve performance of micro- and macro-business firms. Therefore, the purpose of this study is to provide a model for investigating the impact of cloud-based IT systems on green supply chain management.
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Zhang, Fuan, and Zhenzhi Gong. "Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things." Mathematical Problems in Engineering 2021 (February 23, 2021): 1–12. http://dx.doi.org/10.1155/2021/6670718.
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With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.
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Kasemsap, Kijpokin. "Adopting Cloud Computing in Global Supply Chain." International Journal of Social and Organizational Dynamics in IT 4, no. 2 (July 2015): 49–62. http://dx.doi.org/10.4018/ijsodit.2015070105.
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The objective of this article is to review the adoption of cloud computing in global supply chain. The literature review describes the overviews of cloud computing and supply chain management (SCM); the emerging trends of cloud computing in global supply chain; and the adoption of cloud computing in global supply chain. The findings suggest that cloud-based supply chain represents a network of interconnected organizations in the cloud computing area involved in the provision of products and services required by customers. The advent of cloud computing services as well as their steady improvement in such areas as security and reliability make these solutions a logical choice for executives in the supply chain organizations who require the latest innovations, functionality, and efficiency as well as cost effectiveness.
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Yan, Junwei, Sijin Xin, Quan Liu, Wenjun Xu, Liwen Yang, Li Fan, Bo Chen, and Qiang Wang. "Intelligent Supply Chain Integration and Management Based on Cloud of Things." International Journal of Distributed Sensor Networks 10, no. 3 (January 2014): 624839. http://dx.doi.org/10.1155/2014/624839.
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Jamal, S. M. Khalid, A. Omer, and Asiya Abdus Salam Qureshi. "Cloud Computing Solution and Services for RFID Based Supply Chain Management." Advances in Internet of Things 03, no. 04 (2013): 79–85. http://dx.doi.org/10.4236/ait.2013.34011.
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Chen, Yun, Lian Duan, and Weiyong Zhang. "Effect of User Involvement in Supply Chain Cloud Innovation." Journal of Global Information Management 28, no. 1 (January 2020): 23–38. http://dx.doi.org/10.4018/jgim.2020010102.
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Cloud innovation has become increasingly important to supply chain innovation and performance. User involvement is a crucial part of cloud innovation. However, the effect of user involvement in supply chain cloud innovation has not been thoroughly studied, particularly its effect on product cost and optimal price. In this paper, the authors attempted to bridge this major gap in the literature. The authors reviewed the relevant literature to define cloud innovation and user involvement in supply chain cloud innovation. Then the authors developed a game model based on the Bertrand model. Analysis of the model showed that user involvement affects product cost and optimal pricing in an interesting way. The authors also presented a real-life example of how user innovation takes place at Tailg electric vehicle company.
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Jiang, Nan, Erlin Tian, Fattaneh Daneshmand Malayeri, and Alireza Balali. "A new model for investigating the impact of urban knowledge, urban intelligent transportation systems and IT infrastructures on the success of SCM systems in the distributed organizations." Kybernetes 49, no. 11 (January 2, 2020): 2799–818. http://dx.doi.org/10.1108/k-04-2019-0288.
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Purpose A fundamental concept of the smart city is to get the right information at the right place to make city-related decisions easier and quicker. The main goal of supply chain management (SCM) systems is to enhance the supply chain process for delivering the identified products to customers correctly in distributed organizations. In addition, new IT infrastructure such as cloud-based systems and internet of things (IoT) have changed many organizations and firms. Hence, this study aims to assess the factors that contribute to the success of SCM systems. Design/methodology/approach In this paper, the usage of urban knowledge, urban intelligent transportation systems and IT infrastructure was considered as a key factor for the success of SCM systems. For assessing the features of the model, a comprehensive questionnaire was designed. The survey questionnaires were sent to critical informers who are practical heads associated with SCM and urbanism. Of these, 315 usable responses were received, resulting in a response rate of 82.03%. The data were examined using Smart-PLS version 3.2 and IBM SPSS version 25. Findings The obtained results showed the high strength of the proposed model. This study found that the impact of urban ITS (safety, accessibility, information management and flexibility) is important to the success of supply chain management systems. Another important finding is that the cloud-based system (cloud security, resource virtualization, on-demand self-service and scalability) has a very important role in the success of supply chain management systems. The finding showed that the effect of IoT service variable (commercialization, mobility features, infrastructure capabilities and security and privacy) on the success of supply chain management systems is significant and positive. The findings also showed that urban knowledge (usage skills, awareness, experience and knowledge sharing) is viewed as a significant factor in the success of supply chain management systems. Research limitations/implications The inductive nature of research methodology has introduced limitations on the generalizability of results. Therefore, it is recommended to examine the validity of this research model in other supply chains. Practical implications The statistical results support the crucial role of urban knowledge, urban intelligent transportation systems, IoT services and cloud-based systems. Therefore, aspects relating to these factors must be the focus of attention of any distributed organization in their endeavor to develop supply chain management systems. Implementing cloud based IoT through accurate and timely availability of information, can predict forecasting and planning processes, resources, logistics and support, service management and spare parts and many sub-processes in the supply chain. These technologies allow organizations to invest in manufacturing and operating processes rather than paying for the software section, which will generate more cash flow. Originality/value One of the most crucial and fundamental parts of an organization’s management is the supply chain management. The department is responsible for coordinating all units from the initial stages, such as supplying materials to the final stages, such as delivery and after-sales service. Comprehensive and credible information platforms are essential for managing a supply chain. Therefore, it is important to use integrated information systems such as IoT, cloud computing, intelligent transportation systems and more in this part of the organization management. Covering this information in a timely and accurate manner will facilitate the process and make the process more transparent. For this purpose, a model is needed to determine the relationship between technologies and supply chain management, which this study has provided a comprehensive model.
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Zulfa, Nafa, Hafara Firdausi, and Rakha Asyrofi. "CLOUTIDY: A CLOUD-BASED SUPPLY CHAIN MANAGEMENT SYSTEM USING SEMAR AND BLOCKCHAIN SYSTEM." JUTI: Jurnal Ilmiah Teknologi Informasi 18, no. 2 (July 31, 2020): 68. http://dx.doi.org/10.12962/j24068535.v18i2.a937.
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Xing, Ke, Wei Qian, and Atiq Uz Zaman. "Development of a cloud-based platform for footprint assessment in green supply chain management." Journal of Cleaner Production 139 (December 2016): 191–203. http://dx.doi.org/10.1016/j.jclepro.2016.08.042.
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Wong, Simon, John-Kun-Woon Yeung, Yui-Yip Lau, and Joseph So. "Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management." Sustainability 13, no. 15 (July 23, 2021): 8270. http://dx.doi.org/10.3390/su13158270.
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Knowing the challenges of keeping and manipulating more and more immutable transaction records in a blockchain network of various supply chain parties and the opportunities of leveraging sophisticated analyses on the big data generated from these records, design of a robust blockchain architecture based on a cloud infrastructure is proposed. This paper presents this technical design with consideration of the technical sustainability in terms of scalability and big data processing and analytics. A case study was used to illustrate how the technical sustainability is achieved by applying the proposed technical design to the real-time detection of the maritime risk management. This case also illustrates how machine learning mechanism helps to reduce maritime risk by guiding a cargo ship to adjust to the planned or safe route from a detour to a danger zone. This paper also discusses the implications for further research direction.
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Laxmi, Aishwarya Raj, and Ayaskanta Mishra. "Automation in supply chain management system using Internet of Things (IoT)." International Journal of Engineering & Technology 7, no. 2 (May 19, 2018): 777. http://dx.doi.org/10.14419/ijet.v7i2.10746.
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An automated Supply Chain Management (SCM) System includes the real-time GPS position tracking of transport fleets as well as a RFID based shipment tracking at the entry and exit point of the warehouse. This paper has proposed a system architecture and implementation of the same using Arduino and SIM808 based GPS position tracking system for constrained power application. A Raspberry Pi and RC522 RFID Reader is used for a MQTT based shipment tracking system at the warehouse. Integration of both the modules makes a comprehensive Automated Supply Chain Management System, which can be used by logistic companies to monitor and manage their logistics using the web based GUI. Internet of Things (IoT) platform is used for data communication from Sensors to cloud platforms HTTP POST and PHP is prior and CloudMQTT in later case.
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Akyuz, Goknur Arzu, and Mohammad Rehan. "A Generic, Multi-Period and Multi-Partner Cost Optimizing Model for Cloud-Based Supply Chain." International Journal of Cloud Applications and Computing 6, no. 2 (April 2016): 55–63. http://dx.doi.org/10.4018/ijcac.2016040106.
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Cloud technology in a multi-enterprise, collaborative context is one of the most promising topics at IT-Supply Chain (SC) intersection. Cloud comes with well-proven advantages and cost savings; enabling collaboration and business intelligence. Cloud transition is still on-going with individual enterprise-level transitions. However, collaborative paradigm dictates that entire network well-being is to be considered over enterprise-level concerns. Thus, handling the transition of a single enterprise is not sufficient for strategic network leverage. Planning and managing across multiple enterprises is required, taking into consideration various cost items and budget constraints. In this study, a multi-period multi-partner cost-optimizing model is developed for network-level management of cloud transition for a SC. The model produces an optimal transition plan, indicating timing of the transition for each partner to obtain the maximum cost savings across network over a specified planning horizon. The model proposed is generic, flexible and customizable for different sectors/settings.
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SONG, Yan, Shuang YAO, Donghua YU, and Yan SHEN. "RISKY MULTI-CRITERIA GROUP DECISION MAKING ON GREEN CAPACITY INVESTMENT PROJECTS BASED ON SUPPLY CHAIN." Journal of Business Economics and Management 18, no. 3 (June 16, 2017): 355–72. http://dx.doi.org/10.3846/16111699.2017.1331461.
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Green capacity investment projects have rapidly emerged involving suppliers, customers, and manufacturing organizations in supply chain systems with environmental challenges. This paper focuses on and identifies both primary strategic and operational elements that will aid managers in evaluating and making risky multi-criteria decisions on green capacity investment projects. We propose a cloud prospect value consensus process consisting of feedback and adjustment mechanisms that provide modification instructions to the corresponding decision makers for a decision matrix based on the cloud model and prospect theory, which considers psychological behavior, disagreements between decision makers, and the ambiguity of linguistic variable assessment across multi-criteria risks. The new model increases the efficiency and accuracy of decision making. To verify the feasibility and validity of the Cloud Prospect Value Consensus Degree based on the Feedback adjustment mechanism, its performance is compared with three state-of-the-art multi-criteria group decision-making methods.
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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 (August 13, 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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Pan, Yong Ming, Yun Li Tong, and Guan Xu Mi. "The Loan Pricing Study of Supply Chain Finance Based on Cloud Muster Warehouse (CMW)." Applied Mechanics and Materials 462-463 (November 2013): 940–43. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.940.
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The CMW loan-pricing model is established by RAROC (risk adjusted return on capital) with consideration of performance measurement and risk management. The model was presumed interest income as all revenue and credit risk of economic capital the only risk. Model parameters were calculated with large amounts of processed data by cloud computing and internet of things. By donging this, financial institutions determined loan interest rates provided to SMEs (small and medium enterprises) in financing mode of CMW.
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Mustafee, Navonil, Korina Katsaliaki, and Simon J. E. Taylor. "Distributed Approaches to Supply Chain Simulation." ACM Transactions on Modeling and Computer Simulation 31, no. 4 (October 31, 2021): 1–31. http://dx.doi.org/10.1145/3466170.
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The field of Supply Chain Management (SCM ) is experiencing rapid strides in the use of Industry 4.0 technologies and the conceptualization of new supply chain configurations for online retail, sustainable and green supply chains, and the Circular Economy. Thus, there is an increasing impetus to use simulation techniques such as discrete-event simulation, agent-based simulation, and hybrid simulation in the context of SCM. In conventional supply chain simulation, the underlying constituents of the system like manufacturing, distribution, retail, and logistics processes are often modelled and executed as a single model. Unlike this conventional approach, a distributed supply chain simulation (DSCS) enables the coordinated execution of simulation models using specialist software. To understand the current state-of-the-art of DSCS, this paper presents a methodological review and categorization of literature in DSCS using a framework-based approach. Through a study of over 130 articles, we report on the motivation for using DSCS, the modelling techniques, the underlying distributed computing technologies and middleware, its advantages and a future agenda, and also limitations and trade-offs that may be associated with this approach. The increasing adoption of technologies like Internet-of-Things and Cloud Computing will ensure the availability of both data and models for distributed decision-making, which is likely to enable data-driven DSCS of the future. This review aims to inform organizational stakeholders, simulation researchers and practitioners, distributed systems developers and software vendors, as to the current state-of-the art of DSCS, and which will inform the development of future DSCS using new applied computing approaches.
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Yan, Qingyou, Meijuan Zhang, Wei Li, and Guangyu Qin. "Risk Assessment of New Energy Vehicle Supply Chain Based on Variable Weight Theory and Cloud Model: A Case Study in China." Sustainability 12, no. 8 (April 14, 2020): 3150. http://dx.doi.org/10.3390/su12083150.
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In order to protect the environment and reduce energy consumption, new energy vehicles have begun to be vigorously promoted in various countries. In recent years, the rise of intelligent technology has had a great impact on the supply chain of new energy vehicles, which, coupled with the complexity of the supply chain itself, puts it at great risk. Therefore, it is quite indispensable to evaluate the risk of the new energy vehicle supply chain. This paper assesses the risks faced by China’s new energy vehicle supply chain in this period of technological transformation. First of all, this paper establishes an evaluation criteria system of 16 sub-criterion related to three dimensions: the market risk, operational risk, and the environmental risk. Then, variable weight theory is proposed to modify the constant weight obtained by the fuzzy analytic hierarchy process (FAHP). Finally, a risk assessment of China’s new energy vehicle supply chain is carried out by combining the variable weight and the cloud model. This method can effectively explain the randomness of matters, and avoid the influence of value abnormality on the criteria system. The results show that China’s new energy vehicle supply chain is at a high level. Through the identification of risk factors, mainly referring to the low clustering risk, technical level risk and information transparency risk, this paper can provide a risk prevention reference for corresponding enterprises.
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Treiblmaier, Horst, and Patrick Mair. "Textual Data Science for Logistics and Supply Chain Management." Logistics 5, no. 3 (August 23, 2021): 56. http://dx.doi.org/10.3390/logistics5030056.
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Background: Researchers in logistics and supply chain management apply a multitude of methods. So far, however, the potential of textual data science has not been fully exploited to automatically analyze large chunks of textual data and to extract relevant insights. Methods: In this paper, we use data from 19 qualitative interviews with supply chain experts and illustrate how the following methods can be applied: (1) word clouds, (2) sentiment analysis, (3) topic models, (4) correspondence analysis, and (5) multidimensional scaling. Results: Word clouds show the most frequent words in a body of text. Sentiment analysis can be used to calculate polarity scores based on the sentiments that the respondents had in their interviews. Topic models cluster the texts based on dominating topics. Correspondence analysis shows the associations between the words being used and the respective managers. Multidimensional scaling allows researchers to visualize the similarities between the interviews and yields clusters of managers, which can also be used to highlight differences between companies. Conclusions: Textual data science can be applied to mine qualitative data and to extract novel knowledge. This can yield interesting insights that can supplement existing research approaches in logistics and supply chain research.
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Annisya and Emy Haryatmi. "Implementasi Teknologi Blockchain Proof of Work Pada Penelusuran Supply Chain Produk Komputer." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 5, no. 3 (June 19, 2021): 446–55. http://dx.doi.org/10.29207/resti.v5i3.3068.
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In recent times, the supply chain has developed into a large ecosystem. Various products moving from party to party require cooperation between stakeholders in managing the data generated. The problem is that every company has its own transaction records that can be inconsistent and their storage is centralized and not integrated between companies. This makes transaction records easy to falsify. Efficient data management is needed from the producer to the store so that consumers can trust the product. Therefore, the authors designed a product tracking system using blockchain by implementing proof of work (PoW) as the consensus algorithm, SHA-3 256 as data security, Mongo database as cloud-based data storage and QR Code as the output. As a result, transaction data from producers, distributors to retail stores are stored completely in MongoDB which is a cloud-based database, then the resulting QR Code can be used to view details of producers, distributors to retail stores that sell them. The simulation and trial results show the product tracing system design is successful as expected.
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Zhuang, Zhang, Wang, and Hu. "Optimal Logistics Control of an Omnichannel Supply Chain." Sustainability 11, no. 21 (October 29, 2019): 6014. http://dx.doi.org/10.3390/su11216014.
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This paper aims to find the best way to control logistics in an omnichannel supply chain (OSC). For this purpose, two steps of work were carried out around case-based reasoning (CBR). In the first step, the combined feedback which proved stability was selected to control logistics in the single node, while the variational method and the virtual siphon were combined to determine the optimal control curve. There is a linear part and a nonlinear part in the combined feedback. The new method of storing data mode is “data turning to picture”. In the second step, image features were extracted by the hybrid method of SURF-GoogLeNet and used for case matching via the grey cloud method. SURF-GoogLeNet was firstly used to update the weight proportion of the defect points in the whole image via the speeded up robust features (SURF) method and secondly to self-extract features using the GoogLeNet method. Finally, the effectiveness of the proposed methods was verified through experiments. The research findings shed new light on the management of supply chains.
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Oncioiu, Bunget, Türkeș, Căpușneanu, Topor, Tamaș, Rakoș, and Hint. "The Impact of Big Data Analytics on Company Performance in Supply Chain Management." Sustainability 11, no. 18 (September 5, 2019): 4864. http://dx.doi.org/10.3390/su11184864.
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Big data analytics can add value and provide a new perspective by improving predictive analysis and modeling practices. This research is centered on supply-chain management and how big data analytics can help Romanian supply-chain companies assess their experience, strategies, and professional capabilities in successfully implementing big data analytics, as well as assessing the tools needed to achieve these goals, including the results of implementation and performance achievement based on them. The research method used in the quantitative study was a sampling survey, using a questionnaire as a data collection tool. It included closed questions, measured with nominal and ordinal scales. A total of 205 managers provided complete and useful answers for this research. The collected data were analyzed with the Statistical Package for the Social Sciences (SPSS) package using frequency tables, contingency tables, and main component analysis. The major contributions of this research highlight the fact that companies are concerned with identifying new statistical methods, tools, and approaches, such as cloud computing and security technologies, that need to be rigorously explored.
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Szymczak, Maciej, Urszula Ryciuk, Dorota Leończuk, Wojciech Piotrowicz, Krzysztof Witkowski, Joanicjusz Nazarko, and Joanna Jakuszewicz. "KEY FACTORS FOR INFORMATION INTEGRATION IN THE SUPPLY CHAIN – MEASUREMENT, TECHNOLOGY AND INFORMATION CHARACTERISTICS." Journal of Business Economics and Management 19, no. 5 (December 21, 2018): 759–76. http://dx.doi.org/10.3846/jbem.2018.6359.
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This paper aims to identify key factors related to information management and integration in the supply chain (SC). The initial set of factors was identified in the literature, namely, information quality and content, performance metrics, and information technologies. The construct was then tested empirically using the sample of 200 Polish companies. Computer-Assisted Telephone Interviews (CATI) were based on a structured questionnaire, then, data exploratory factor analysis (EFA) was performed. The conducted EFA determined four main factors for information management and integration in the supply chain that should be considered, namely, information characteristics, ICT used in information management, the scope of information and shared performance metrics. Results confirmed the importance of some of the factors related to information management in the supply chain, however having a different set of variables than indicated in the literature. Additionally, research introduced new factors, namely, information characteristics and the scope of shared information, instead of information quality and information content. Moreover, findings suggested that the key role in SC information integration was related to established technologies, focused on transport, customer, and ERP management, while emerging technologies, such as cloud computing and data mining were not of the top importance among the surveyed companies.
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Ali, Syed Imran, Abdilahi Ali, Muhanad AlKilabi, and Michael Christie. "Optimal supply chain design with product family: A cloud-based framework with real-time data consideration." Computers & Operations Research 126 (February 2021): 105112. http://dx.doi.org/10.1016/j.cor.2020.105112.
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Gupta, Shivam, Sameer Kumar, Sanjay Kumar Singh, Cyril Foropon, and Charu Chandra. "Role of cloud ERP on the performance of an organization." International Journal of Logistics Management 29, no. 2 (May 14, 2018): 659–75. http://dx.doi.org/10.1108/ijlm-07-2017-0192.
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PurposeCloud-based enterprise resource planning (ERP) enables an organization to pay for the services they need and removes the need to maintain information technology infrastructure. The purpose of this paper is to empirically test the role of cloud-based ERP services on the performance of an organization. Here, the performance is categorized as supply chain performance and organizational performance that comprises of financial performance and marketing performance. Contingent resource-based view (RBV) theory was used to develop a theoretical framework in which supply base complexity (SBC) acts as a moderating variable on the relationship between cloud ERP and the performance.Design/methodology/approachContingent RBV theory is used to explain the relationship between all identified variables in this paper. Partial least squares (PLS) based on structural equation modeling (SEM) is used to empirically test our theoretical framework.FindingsThe PLS-SEM analysis of 154 respondents supports the contingent RBV theory. Six hypotheses – out of the eight hypotheses formulated in this paper – are supported by data.Research limitations/implicationsGiven this study was conducted in India where the potential of cloud ERP has not been fully implemented yet, the results may reflect more of perceived usefulness of this technology. The authors have attempted to understand the effect of SBC as a moderator in the relationship between cloud ERP and organizational performance which may not be the only moderator affecting this relationship among other potential moderators.Originality/valueThis paper empirically validates the theoretical framework based on the contingent RBV theory as it mitigates the static nature of the resource-based view approach suggested in the seminal article of Barney (1991).
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Irfan, Muhammad, and Mingzheng Wang. "Data-driven capabilities, supply chain integration and competitive performance." British Food Journal 121, no. 11 (October 24, 2019): 2708–29. http://dx.doi.org/10.1108/bfj-02-2019-0131.
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Purpose The purpose of this paper is to analyze the effects of data-driven capabilities on supply chain integration (SCI) and competitive performance of firms in the food and beverages (F & B) industry in Pakistan. Design/methodology/approach The authors adopt the structural equation modeling approach to test the proposed hypotheses using AMOS 23. Survey data were collected from 240 firms in the F & B industry in Pakistan. Findings The results revealed that SCI (i.e. internal integration (II) and external integration (EI)) significantly mediates the effect of data-driven capabilities (i.e. flexible information technology resources and data assimilation) on a firm’s competitive performance. In addition to the direct effects, II also has an indirect effect on competitive performance through EI. Practical implications The study has several implications for managers in the context of big data application in food supply chain management (FSCM) in a developing country context. The study posits that firms can achieve excellence in performance by governing data-driven supply chain operations. The study also has implications for distributors and importers in the F & B industry. The cloud-based sharing of data can improve the operational performance of channel members while reducing their overall cost of operations. In practice, food franchises largely get the advantage of shared resources of their suppliers in managing orders, payments, inventory and after-sales services. Originality/value The study is novel and deepens the understanding about the use of big data in FSCM keeping in view the industry trends and stakeholder’s priorities in a developing country context.
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Dey, Somdip, Suman Saha, Amit Kumar Singh, and Klaus McDonald-Maier. "FoodSQRBlock: Digitizing Food Production and the Supply Chain with Blockchain and QR Code in the Cloud." Sustainability 13, no. 6 (March 22, 2021): 3486. http://dx.doi.org/10.3390/su13063486.
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Food safety is an important issue in today’s world. The traditional agri-food production system does not offer easy traceability of the produce at any point of the supply chain, and hence, during a food-borne outbreak, it is very difficult to sift through food production data to track produce and the origin of the outbreak. In recent years, the blockchain based food production system has resolved this challenge; however, none of the proposed methodologies makes the food production data easily accessible, traceable and verifiable by consumers or producers using mobile/edge devices. In this paper, we propose FoodSQRBlock (Food Safety Quick Response Block), a blockchain technology based framework that digitises the food production information and makes it easily accessible, traceable and verifiable by the consumers and producers by using QR codes. We also propose a large-scale integration of FoodSQRBlock in the cloud to show the feasibility and scalability of the framework, as well as give an experimental evaluation to prove this.
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Giusti, Riccardo, Chiara Iorfida, Yuanyuan Li, Daniele Manerba, Stefano Musso, Guido Perboli, Roberto Tadei, and Shuai Yuan. "Sustainable and De-Stressed International Supply-Chains Through the SYNCHRO-NET Approach." Sustainability 11, no. 4 (February 19, 2019): 1083. http://dx.doi.org/10.3390/su11041083.
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Synchro-modal supply chain eco-NET (SYNCHRO-NET) is a Horizon 2020 European research project aimed at overcoming the stress due to the increasing transportation distances, the higher complexity, and the vulnerability of international supply chains. In order to foster sustainability, quality, and reliability of such supply chains, SYNCHRO-NET mainly exploits the impact and the possible benefits coming from slow/smart-steaming and synchro-modality transportation strategies, and the related business models. The aim of this paper is to summarize and disseminate the main developments and scientific contributions coming from the project. In particular, the working core of the SYNCHRO-NET solution is an integrated and cloud-based eco-system of optimization and simulation software modules that supports stakeholders’ decisions in freight transportation and logistics management at strategic, operational, and real-time levels. The platform has achieved a high grade of automation in several processes to overcome all the issues related to human-based operations. The efficiency and effectiveness of the overall platform have been tested on three case studies considering pan-European and regional trade lanes, as well as commercial activities between the Far East and European ports. The project results and outputs also allow us to analyze barriers and opportunities of the approach, industrial and academic developments, and relations with emerging technologies.
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McIsaac, Joseph, Joseph Brulle, John Burg, Gregory Tarnacki, Christian Sullivan, and Rick Wassel. "Blockchain Technology for Disaster and Refugee Relief Operations." Prehospital and Disaster Medicine 34, s1 (May 2019): s106. http://dx.doi.org/10.1017/s1049023x1900222x.
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Introduction:Blockchain is a distributed ledger technology for storing and transmitting information (value) that is secure, verifiable, and auditable. Two specific use-case opportunities exist, identity management and payment systems.Aim:A secure and auditable solution for disaster refugee support.Methods:Gap analysis, literature search, and synthesis using existing technologies.Results:Strategy foundation: A blockchain identity management system that utilizes the Hyperledger Fabric framework; identification on a large scale, in a distributed model that provides immutable record capabilities to prevent fraud, with the ability to incorporate biometrics and DNA; deploy applications that will provide supply-chain capabilities; cryptocurrency for recipients and other relief functions for refugees/disaster victims; components such as consensus, membership services, and Smart Contracts; cloud-based, with redundancies in multiple vendors and additional complex government cloud requirements/certifications, leveraging NIST 800–53 by utilizing a hybrid public permissions architecture.Discussion:There are an estimated 68 million refugees worldwide at any time. Valid identification is needed by most refugees to qualify for government or international donor relief. That identification is crucial in getting refugees and victims access to the aid supply chain. Blockchain stores data on a large number of computer nodes connected over the Internet. Each node contains an identical copy that is time-stamped and protected by a cryptographic technique called hashing, and control is decentralized. This blockchain strategy will revolutionize the way the government manages the $30 billion in foreign aid to refugees. It will build upon the identities established to deploy applications that will provide supply-chain capabilities, cryptocurrency for recipients, and other relief functions for refugees/disaster victims. Stakeholders beyond government will also benefit tremendously. The distributed nature of our application will provide visibility to NGOs, nonprofits, host nation stakeholders, and other relief organizations. A single system that provides information to everyone involved will almost instantaneously change the face of relief.
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AlGhazzawi, Nooradeen Adel, and Nouf Essam Katooa. "Vision 2030 of Cloud Enterprise Resource Planning Systems (CERPS) in the Kingdom of Saudi Arabia." Int'l Journal of Management Innovation Systems 4, no. 1 (May 22, 2019): 1. http://dx.doi.org/10.5296/ijmis.v4i1.14644.
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Saudi businesses rely on effective data management to trade along their internal and external supply (value) chains and must continually monitor and upgrade legacy data systems. To understand these processes, this study explores the experiences of six diverse Saudi firms as case studies: an air transport data system, vertical integration of global firms' subsidiaries, a value chain system, and entrepreneurs taking advantage of cloud opportunities. Rather than following the literature in focusing on the decision making steps to upgrade organizational data-based resources, this research considers how the firms integrated cloud technologies with their existing or new business models. The case studies were conducted post-implementation of cloud data projects to qualitatively assess the expectations of owners and executives of firms from their initiatives.Overall, the findings were that firms' experiences when online resulted in better integration with upstream international suppliers, greater cost control, and adapted and new business model advantages. Of the cases, two retailers and an intermediary/retail stationer used their new cloud-based data resources by expanding to online sales platforms. The largest firm was able to use its industry leadership to develop online data integration with firms through its value chains. The remaining firms were more circumspect. The data infrastructure firm merely formed a cloud sibling company to enhance its core business. The airline's industry data provider moved all its clients to cloud services, and the wholesaler similarly agreed to contract with its value chain's digital provider.This paper is presented as an introduction including the purpose of the study, a short literature review, methodology, results, comparative analysis, and conclusions. There was insufficient opportunity to provide a detailed discussion placing the cases into previous findings, although this empirical study is focussed on cloud migration outcomes rather than change factors.
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Yao, Shuang, Donghua Yu, Yan Song, Hao Yao, Yuzhen Hu, and Benhai Guo. "Dry Bulk Carrier Investment Selection through a Dual Group Decision Fusing Mechanism in the Green Supply Chain." Sustainability 10, no. 12 (November 30, 2018): 4528. http://dx.doi.org/10.3390/su10124528.
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Uncertain linguistic variables and scoring evaluations are two important evaluation mechanisms in the decision making field. Sustainability requirements for ship investment lead to the complexity of influence factors and the decision making process. The uncertain linguistic assessment features a large amount of ambiguity and subjectivity, while the scoring evaluation features high precision and distinct gradations. This paper constructs a criteria system in the green supply chain and proposes a dual group decision fusing mechanism for integrating the linguistic variable and scoring evaluation into a unified evaluation term. A hierarchical cloud of linguistic variable terms is constructed based on scoring via a reverse cloud generator, and then, the ship investment linguistic terms are transformed into prospect values. In addition, the consistency and investment selection performance are measured after aggregating the individual decision matrices for group decision making. The empirical research results on the selection of dry bulk carriers for investment show that dual group decision fusing mechanisms could effectively improve the consistency, decision making efficiency, and accuracy of dry bulk ship investment choices and reduce the cost of feedback adjustment for group decisions. In comparison with the trapezoidal fuzzy and fuzzy TOPSIS methods of group decision making, the proposed method performs better when there are a large number of alternatives.
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Christauskas, Ceslovas, and Regina Miseviciene. "Cloud–Computing Based Accounting for Small to Medium Sized Business." Engineering Economics 23, no. 1 (February 15, 2012): 14–21. http://dx.doi.org/10.5755/j01.ee.23.1.1220.
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Small to medium sized business enterprises are young and constantly changing their sphere of activities depending on fluctuations of the market. The enterprises daily use accounting information, which is used in enterprise’s financial situation evaluation, correct decisions making, enterprise’s financial situation analysis according to the results received, making plans for future and controlling the whole enterprise. Accounting information systems play a significant role in providing the financial information for decision making within an organization. The systems are simultaneously providing information for a variety of other decision makers in production, human resources, finance, management, marketing, and supply chain logistics. Unfortunately, accounting systems often do not support business properly. The causes may be: systems mostly are too large and complex to comprehend them in entirety and traditional information technologies are not efficient. There is a need to adopt the newest technologies in small to medium sized business. In the paper investigated study showed the newest trends in accounting information systems for small to medium sized business. One of the newest trends in the information technologies world is cloud computing based technology. Accounting transfer to "cloud" is a new and innovative solution that can help save significant funds small and medium-sized enterprises. Small to medium businesses can get a lot of advantages with the newest technology. However, it has its own risks too. The paper indicates advantages and dangers of the newest technology within the business. Investigation of accounting systems for small and medium sized enterprises in Lithuania in the cloud-computing context is a part of the research. Lithuanian companies have a great opportunity to use cloud computing capabilities. But only one developer of accounting systems offered the cloud based accounting program. Results of the research summarized only by main accounting software. Investigation was carried out by using systematic and comparable literature review of accounting information systems faced to small to medium sized business. The investigation also shows that there are not so many scientific papers on the newest cloud computing trends in Lithuania. Accordingly, this research was mostly based on literature review sourced from the internet.DOI: http://dx.doi.org/10.5755/j01.ee.23.1.1220
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Hibino, Hironori, and Masaru Nakano. "Mini Special Issue on Smart Manufacturing." International Journal of Automation Technology 11, no. 1 (January 5, 2017): 3. http://dx.doi.org/10.20965/ijat.2017.p0003.
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Industry 4.0, a new industry initiative in Germany, is impacting strongly both on industry and on society. Many newspapers and technical magazines are publishing the state of the art articles on topics such as smart manufacturing based on IoT (Internet of Things), CPPS (Cyber Physical Production System), and cloud-based systems. Other parts of the world have started initiatives such as the IIC (Industrial Internet Consortium) in the US and the IVI (Industrial Value Chain Initiative) in Japan. Smart manufacturing is the key concept underlying these new initiatives. This special issue addresses the most advanced research on smart manufacturing. Subjects cover cyber-physical product-service systems, machinery production lines, manufacturing system simulation, lot-size energy-consumption dependence per production throughput unit, additive manufacturing processes, sensor network technology, production management technology, supply chain management technology, and smart manufacturing reviews. We thank the authors for their careful work and the reviewers for their incisive efforts without which this special issue would not have been possible. We hope that this special issue will trigger further research on smart manufacturing and its advances.
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Tankovic, Nikola, and Tihana Galinac-Grbac. "Run-time interpretation of information system application models in mobile cloud environments." Computer Science and Information Systems 17, no. 1 (2020): 1–27. http://dx.doi.org/10.2298/csis180829021t.
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Application models are commonly used in the development of information systems. Recent trends have introduced techniques by which models can be directly transformed into execution code and thus become a single source for application design. Inherently, it has been challenging for software developers to become proficient in designing entire systems due to the complex chain of model transformations and the further refinements required to the code generated from the models. We propose an architectural framework for building the distributed information system applications in which the application models are directly interpreted during execution. This approach shortens the evaluation cycles and provides faster feedback to developers. Our framework is based on a holistic application model represented as a graph structure complemented with a procedural action scripting language that can express more complex software behavior. We present the implementation details of this framework architecture in a mobile cloud environment and evaluate its benefits in eleven projects for different customers in the retail, supply-chain management and merchandising domain involving 300 active application users. Our approach allowed engaging end-users in the software development process in the phase of specifying executable application models. It succeeded in shortening the requirements engineering process and automating the configuration and deployment process. Moreover, it benefited from the automatic synchronization of application updates for all active versions at the customer sites.
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Kong, Xiang T. R., Ray Y. Zhong, Gangyan Xu, and George Q. Huang. "Robot-enabled execution system for perishables auction logistics." Industrial Management & Data Systems 117, no. 9 (October 16, 2017): 1954–71. http://dx.doi.org/10.1108/imds-03-2016-0114.
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Purpose The purpose of this paper is to propose a concept of cloud auction robot (CAR) and its execution platform for transforming perishable food supply chain management. A new paradigm of goods-to-person auction execution model is proposed based on CARs. This paradigm can shift the management of traditional manual working to automated execution with great space and time saving. A scalable CAR-enabled execution system (CARES) is presented to manage logistics workflows, tasks and behavior of CAR-Agents in handling the real-time events and associated data. Design/methodology/approach An Internet of Things enabled auction environment is designed. The robot is used to pick up and deliver the auction products and commends are given to the robot in real-time. CARES architecture is proposed while integrating three core services from auction workflow management, auction task management, to auction execution control. A system prototype was developed to show its execution through physical emulations and experiments. Findings The CARES could well schedule the tasks for each robot to minimize their waiting time. The total execution time is reduced by 33 percent on average. Space utilization for each auction studio is improved by about 50 percent per day. Originality/value The CAR-enabled execution model and system is simulated and verified in a ubiquitous auction environment so as to upgrade the perishable food supply chain management into a new level which is automated and real-time. The proposed system is flexible to cope with different auction scenarios, such as different auction mechanisms and processes, with high reconfigurability and scalability.
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Dwivedi, Sanjeev Kumar, Priyadarshini Roy, Chinky Karda, Shalini Agrawal, and Ruhul Amin. "Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey." Security and Communication Networks 2021 (August 23, 2021): 1–21. http://dx.doi.org/10.1155/2021/7142048.
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Industry 4.0 connects the latest technologies such as cloud computing, Internet of things (IoT), machine learning and artificial intelligence (ML/AI), and blockchain to provide more automation in the industrial process and also bridges the gap between the physical and digital worlds through the cyber-physical system. The inherent feature of IoT devices creates the industry to smart industry (referred to as industrial IoT, i.e., IIoT) through its data-driven decision policies. However, several challenges such as decentralization, security and privacy vulnerability, single point of failure (SPOF), and trust issues exist in the IoT system. Blockchain is one of the promising technologies that can bring about opportunities for addressing the challenges of IoT systems. In this article, we have investigated the integration of IoT with blockchain technology and provided an in-depth study of the blockchain-enabled IoT and IIoT systems. The state-of-the-art research is categorized into data storage and management technique, big data and cloud computing technique (finance and data auditing), and industrial sectors (supply chain, energy, and healthcare sector). The insightful discussion based on the different categories is also presented in the paper. In particular, first, we introduce the IoT and IIoT and then discuss the need for smart contracts in IoT and IIoT systems. Next, we concentrate on the convergence of blockchain and IoT with state-of-the-art research. In addition, this article also provides the open and future research directions towards this era with the highlighted observations.
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Junge, Anna Lisa. "Digital transformation technologies as an enabler for sustainable logistics and supply chain processes – an exploratory framework." Brazilian Journal of Operations & Production Management 16, no. 3 (August 29, 2019): 462–72. http://dx.doi.org/10.14488/bjopm.2019.v16.n3.a9.
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Goal: The aim is to present a literature review for identifying digital transformation technologies (DTT) for manufacturing and pointing out their capabilities and applications. Furthermore, the paper lays out an exploratory framework to depict the impact scope of the cases on logistics and supply chain management (L&SCM) processes.
Design / Methodology / Approach: The identification of relevant DTTs and their capabilities is based on a systematic literature review. The exploratory framework builds upon Industry 4.0 concepts and frameworks as well as the conditions for sustainable digital artefacts. It is then related to cases found in the systematic literature review.
Results: The results indicate that the DTT auto identification, additive manufacturing, and cloud technology lead to improvements concerning transparency efficiency, optimizing distribution distances and logistics resources in networks. The framework presents an avenue for assessing the impact scope and potentials of implementing DTT.
Limitations of the investigation: The literature base limits the findings since it is built upon two databases and is restricted to articles published in English. The theoretically deduced framework accounts for the dimensions technologies, the SCOR model and RAMI architecture. The illustration is simplified but can be detailed according to the needs. It is not tested based on case studies and should therefore be applied in practice to further develop it.
Practical implications: Practitioners gain insight into how to anchor potential use cases for more sustainable L&SCM processes in the framework.
Originality / Value: This paper is the first to relate the capabilities of DTT to more sustainable L&SCM processes in manufacturing by means of a systematic literature review and link the findings to an exploratory framework.
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Bressanelli, Gianmarco, Nicola Saccani, Marco Perona, and Irene Baccanelli. "Towards Circular Economy in the Household Appliance Industry: An Overview of Cases." Resources 9, no. 11 (November 3, 2020): 128. http://dx.doi.org/10.3390/resources9110128.
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Circular Economy is a means to ensure sustainable production and consumption patterns. However, it is still at an embryonic stage of implementation in manufacturing companies. Given its potential, the household appliance industry is a promising arena for the adoption of Circular Economy. Thus, this study aims to investigate and systematize how Circular Economy has been adopted in the household appliance industry, through a multiple case study research. Twenty cases are analyzed following a Research Framework, to map: (i) the Circular Economy 4R strategies of reduce, reuse, remanufacture and recycle; (ii) the Circular Economy levers, i.e., whether circular product design practices, servitized business models or supply chain management actions are undertaken; (iii) the role of digital 4.0 technologies as enablers; (iv) the benefits achieved. The analysis showed that servitized business models and supply chain management actions are widely used levers, while little attention is devoted to circular product design practices. Internet of Things (IoT), Big Data and Cloud emerged as powerful enablers of servitized business models. Two main patterns of Circular Economy adoption in the household appliance industry emerged from cases: incremental and radical adoption patterns. Incremental adoption patterns are based on design strategies focused on reduce and recycle, mainly led by manufacturers. Radical adoption patterns are instead focused on disruptive practices based on reuse, remanufacture, servitization and sharing, where digital 4.0 technologies serve as enablers. Overall, this exploratory research lays the foundation for a stronger and more systemic understanding of the adoption of Circular Economy in the household appliance industry.
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Kim, Tae-eun, Amit Sharma, Morten Bustgaard, William C. Gyldensten, Ole Kristian Nymoen, Hasan Mahbub Tusher, and Salman Nazir. "The continuum of simulator-based maritime training and education." WMU Journal of Maritime Affairs 20, no. 2 (June 2021): 135–50. http://dx.doi.org/10.1007/s13437-021-00242-2.
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AbstractThe COVID-19 pandemic has brought unprecedented challenges to the maritime supply chain and called for accelerated adoption of digital technologies in various aspects of maritime operations, including the area of maritime education and training (MET). This paper aims to discuss the current maritime simulator-based training and educational practices that forms an integral part in seafarer training and competency development. The study provides a review of the existing simulators in use in MET, and discusses upon the technological and pedagogical advancement of maritime simulator-based training interventions with predictions regarding the future MET practices with use of virtual reality and cloud-based simulators. This study—by focusing on ship’s bridge operations—highlights the characteristics of various types of simulators and also discusses the role of instructors, challenges, and opportunities involving future simulator-based MET due to accelerated adoption of digital technologies and the need to comply with pandemic-related restrictions for MET institutes. The analysis generated in the paper may contribute to the ongoing discussion regarding the future of simulator-based MET and the fulfillment of the UN Sustainable Development Goal (SDG) 4 in the maritime sector.
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Ahmad, Naim, and Rashid Mehmood. "Enterprise systems: are we ready for future sustainable cities." Supply Chain Management: An International Journal 20, no. 3 (May 11, 2015): 264–83. http://dx.doi.org/10.1108/scm-11-2014-0370.
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Purpose – This paper aims to revisit the adoption reasons of enterprise systems (ES) and supply chain management systems (SCMS) and to explore the new dimensions of sustainability required to be added in the whole process of adoption of these systems. Moreover, it aims to explore the benefits of ES to organizations and to relate these benefits to the ES adoption in future sustainable city settings. Future cities will have micro-industries requiring dynamic interactions and will be dependent on efficient supply chains. The recent developments in information and communications technology (ICT) such as cloud computing through its dynamic, on-demand and service-based delivery are making it possible to achieve those goals for supply chains. The ES in general and more specifically SCMS have integrated organizations into one seamless mesh. Design/methodology/approach – This paper presents a framework for adoption of sustainable ES in a smart city setting. The framework, firstly, is presented at a macro-level, particularly incorporating the relative significance of motivational factors for sustainable ES adoption. Subsequently, The authors study the benefits of ES as perceived by large and small and medium enterprise (SME) organizations using 100 case studies and discuss how these benefits can be realized for smart cities by projecting the ES benefits onto the proposed framework. The benefits are estimated with the Shang and Seddon’s (2002) framework. Findings – The adoption of ES initiated with environmental factors and mediated with business and technical factors will bring benefits in all the dimensions of triple bottom line in addition to the firm’s performance. ES will have pivotal role in future smart city settings and will be able to offer social, environmental and economic sustainability in addition to traditional organizational performance indicators. Originality/value – The proposed framework for ES adoption will bring ES packages (particularly, the required relative significance of adoption reasons) into the perspective of sustainable development. Moreover, the study of its benefits in relation to the proposed sustainable ES adoption framework presented in this paper will help in motivating organizations to incorporate social, economic and environmental sustainability into their core business objectives.
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Angeles, Rebecca. "Internet of Things (IOT)-Enabled Product Monitoring at Steadyserv." Journal of Cases on Information Technology 21, no. 4 (October 2019): 27–45. http://dx.doi.org/10.4018/jcit.2019100103.
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This qualitative case study features SteadyServ, a beer inventory monitoring solution vendor, and its internet of things (IOT)-based radio frequency identification (RFID)-enabled technology solution. IOT-based information technology systems are powering new business models and innovative cloud-supported solutions addressing use cases in many industries. At this early stage, IOT is taking off in monitoring premises, products, supply chains, and customers. Content analysis of primary and secondary data was used to interpret this firm's RFID-enabled IOT solution's deployment at the firm's customer sites. Two theoretical frameworks were used in the attempt to understand the IT solution experiences of customer firms: socio-technical systems theory and affordances theory.
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Su, Wei-Hao, Kai-Ying Chen, Louis Y. Y. Lu, and Jen-Jen Wang. "Knowledge Development Trajectories of the Radio Frequency Identification Domain: An Academic Study Based on Citation and Main Paths Analysis." Applied Sciences 11, no. 18 (September 7, 2021): 8254. http://dx.doi.org/10.3390/app11188254.
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The study collected papers on radio frequency identification (RFID) applications from an academic database to explore the topic’s development trajectory and predict future development trends. Overall, 3820 papers were collected, and citation networks were established on the basis of the literature references. Main path analysis was performed on the networks to determine the development trajectory of RFID applications. After clustering into groups, the results are twenty clusters, and six clusters with citation counts of more than 200 were obtained. Cluster and word cloud analyses were conducted, and the main research themes were identified: RFID applications in supply chain management, antenna design, collision prevention protocols, privacy and safety, tag sensors, and localization systems. Text mining was performed on the titles and abstracts of the papers to identify frequent keywords and topics of interest to researchers. Finally, statistical analysis of papers published in the previous 4 years revealed RFID applications in construction, aquaculture, and experimentation are less frequently discussed themes. This study provides planning directions for industry, and the findings serve as a reference for business domain. The integrated analysis successfully determined the trajectory of RFID-based technological development and applications as well as forecast the direction of future research.
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Gentile, Sabrina, Francesco Di Paola, Domenico Cimini, Donatello Gallucci, Edoardo Geraldi, Salvatore Larosa, Saverio T. Nilo, et al. "3D-VAR Data Assimilation of SEVIRI Radiances for the Prediction of Solar Irradiance in Italy Using WRF Solar Mesoscale Model—Preliminary Results." Remote Sensing 12, no. 6 (March 12, 2020): 920. http://dx.doi.org/10.3390/rs12060920.
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Solar power generation is highly fluctuating due to its dependence on atmospheric conditions. The integration of this variable resource into the energy supply system requires reliable predictions of the expected power production as a basis for management and operation strategies. This is one of the goals of the Solar Cloud project, funded by the Italian Ministry of Economic Development (MISE)—to provide detailed forecasts of solar irradiance variables to operators and organizations operating in the solar energy industry. The Institute of Methodologies for Environmental Analysis of the National Research Council (IMAA-CNR), participating to the project, implemented an operational chain that provides forecasts of all the solar irradiance variables at high temporal and horizontal resolution using the numerical weather prediction Advanced Research Weather Research and Forecasting (WRF-ARW) Solar version 3.8.1 released by the National Center for Atmospheric Research (NCAR) in August 2016. With the aim of improving the forecast of solar irradiance, the three-dimensional (3D-Var) data assimilation was tested to assimilate radiances from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the Meteosat Second Generation (MSG) geostationary satellite into WRF Solar. To quantify the impact, the model output is compared against observational data. Hourly Global Horizontal Irradiance (GHI) is compared with ground-based observations from Regional Agency for the Protection of the Environment (ARPA) and with MSG Shortwave Solar Irradiance estimations, while WRF Solar cloud coverage is compared with Cloud Mask by MSG. A preliminary test has been performed in clear sky conditions to assess the capability of the model to reproduce the diurnal cycle of the solar irradiance. The statistical scores for clear sky conditions show a positive performance of the model with values comparable to the instrument uncertainty and a correlation of 0.995. For cloudy sky, the solar irradiance and the cloud cover are better simulated when the SEVIRI radiances are assimilated, especially in the short range of the simulation. For the cloud cover, the Mean Bias Error one hour after the assimilation time is reduced from 41.62 to 20.29 W/m2 when the assimilation is activated. Although only two case studies are considered here, the results indicate that the assimilation of SEVIRI radiance improves the performance of WRF Solar especially in the first 3 hour forecast.
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Witczak-Roszkowska, Danuta. "Cyfryzacja polskich przedsiębiorstw na tle wybranych krajów europejskich." Nierówności społeczne a wzrost gospodarczy 65, no. 1 (2021): 90–108. http://dx.doi.org/10.15584/nsawg.2021.1.5.
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The article attempts to assess the level of use of information technologies in Polish enterprises against the background of selected European countries. This original research has shown inequalities in the use of information technologies by enterprises from European countries. Based on the results of the research, it was ascertained that the level of use of information and communication technologies by Polish enterprises is low. Poland was placed 24th in the ranking of countries covered by the study. A weakness of Polish enterprises is the relatively low level of use of cloud computing services and social media. Poland performs best in terms of Internet access and IT use in terms of integrating internal processes as well as contacts with customers, suppliers, and supply chain management. The adopted diagnostic features show that the highest level of use of information and communication technologies in enterprises can be found in Denmark, Finland, the Netherlands, and Ireland. The countries with the lowest levels of ICT use by enterprises are Greece, Latvia, Hungary, Bulgaria and Romania.
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Stanisławski, Robert, and Andrzej Szymonik. "Impact of Selected Intelligent Systems in Logistics on the Creation of a Sustainable Market Position of Manufacturing Companies in Poland in the Context of Industry 4.0." Sustainability 13, no. 7 (April 3, 2021): 3996. http://dx.doi.org/10.3390/su13073996.
Full textAbstract:
Within the broadly understood concept of Industry 4.0, many intelligent systems featuring artificial intelligence are used. Their importance in recent years has been growing. That can be attributed to a number of notable advantages these systems provide, including the possibility of expanding the manufacturer’s offer, greater customization of products, which facilitates reaching niche markets, as well as better internal and/or external communication (between the company and the consumer). Six such systems are brought into focus: The Internet of Things, Data Base, Cloud Computing, Blockchain, SCADA (Supervisory Control and Data Acquisition), and SMAC (Social, Mobile, Analytics, Cloud). The aim of the study was to assess their relevance and impact on the market position of enterprises in Poland. The analysis is based on the research carried out by the authors in 2020 on a sample of production companies that use logistic supply chains in their operations. The conclusions are to some extent surprising, e.g., the companies do not believe that implementing intelligence systems gives them significant market advantage nor that the positive impact of these systems depends directly on the number of systems used.
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Peng, Wenjie, Daizhong Su, and Shuyi Wang. "Development of an Innovative ICT Infrastructure for an Eco-Cost System with Life Cycle Assessment." Sustainability 13, no. 6 (March 12, 2021): 3118. http://dx.doi.org/10.3390/su13063118.
Full textAbstract:
A novel Internet-based information communication technology (ICT) infrastructure for an eco-accounting system was successfully developed to deliver “EcoCosts”, which are the values of environmental impact throughout the product life cycle. The ICT infrastructure manages its internal elements and interacts with operation modules in the supply chain via Web-based service interfaces. The infrastructure consists of upperware, middleware, and resource layers. The upperware layer manipulates the middleware elements (cloud-based load balancing, life cycle assessment, Web-based services, and Radio Frequency Identification (RFID)-enabled mobile access), and manages the associated resources within the eco-accounting system. As novel features of the ICT infrastructure, load balancing is used to handle large numbers of data and to allocate the computing load across the eco-accounting network nodes, and life cycle assessment is conducted to analyse product footprints, which are the core of “EcoCost”, to facilitate consumers in comparing the environmental impacts between different products. A case study was conducted by transmitting product EcoCosts from businesses to consumers through the Internet, successfully verifying the system developed in this research. Because this research aims to pay more attention to the ICT aspects, the EcoCost is represented using a single value, hence simplifying the related calculation. This research provides a novel solution for dealing with the large numbers of data and computing loads required to manage EcoCost data throughout the product life cycle and to transmit EcoCosts from businesses to consumers.