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Artykuły w czasopismach na temat „Supply chain management-Fuzzy logic”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 31 lipca 2025

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1

JADHAV, D. S., and V. H. BAJAJ. "Supply chain management under fuzzy logic approach." INTERNATIONAL JOURNAL OF COMMERCE AND BUSINESS MANAGEMENT 7, no. 2 (2014): 372–76. http://dx.doi.org/10.15740/has/ijcbm/7.2/372-376.

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Khetade, Khushi. "Intelligent Supply Chain Management." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48356.

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Fuzzy Logic is used to derive the optimal inventory policies in the Supply Chain (SC) numbers. We examine the per- formance of the optimal inventory policies by cutting the costs and increasing the supply chain management efficiency. The proposed inventory policy uses multi-agent and Fuzzy logic, and provides managerial insights on the impact of the decision making in all the SC numbers. In particular, we focus on the way in which our agent purchases components using a mixed procurement strategy (combining long and short term planning) and how it sets its prices according to the prevailing mar

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KLYMCHUK, MARYNA, WILLIAM SWISTUN, and VICTORIIA SHOVKIVSKA. "Fuzzy modeling supply chain business processes." Market Relations Development in Ukraine 105, no. 11(270) (2024): 64–69. https://doi.org/10.5281/zenodo.10528671.

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The subject of the study is a set of theoretical, scientific and practical provisions regarding theassessment of the effectiveness of business process management in supply chains.The purpose of the study is to develop a model for evaluating the management of businessprocesses in supply chains using the method of fuzzy logic.Research methods. In order to comply with the conceptual integrity of scientific development, thedialectical method of scientific cognition, as well as empirical–theoretical and formal–logical principleswere used.Results of work. Economic and mathematical modeli

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Wang, Juite, and Yun-Feng Shu. "Fuzzy decision modeling for supply chain management." Fuzzy Sets and Systems 150, no. 1 (2005): 107–27. http://dx.doi.org/10.1016/j.fss.2004.07.005.

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Ganga, Gilberto Miller Devós, and Luiz Cesar Ribeiro Carpinetti. "A fuzzy logic approach to supply chain performance management." International Journal of Production Economics 134, no. 1 (2011): 177–87. http://dx.doi.org/10.1016/j.ijpe.2011.06.011.

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Ganguly, Kunal K., R. K. Padhy, and Siddharth Shankar Rai. "Managing the humanitarian supply chain: a fuzzy logic approach." International Journal of Disaster Resilience in the Built Environment 8, no. 5 (2017): 521–36. http://dx.doi.org/10.1108/ijdrbe-07-2015-0038.

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Purpose Humanitarian supply chain management (HSCM) in today’s environment faces the challenges such as information availability, inventory management, collaboration, logistics related issues and preparedness. The purpose of this paper is to evaluate the HSCM performance, considering the consequences in terms of operation, recovery and responsiveness based on the fuzzy estimates of the components presented. Design/methodology/approach In the study, triangulation approach was adapted for collecting data and developing a hierarchical structure for humanitarian supply chain performance assessment

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Sayed, Maysara, Linda C. Hendry, and Marta Zorzini Bell. "Institutional complexity and sustainable supply chain management practices." Supply Chain Management: An International Journal 22, no. 6 (2017): 542–63. http://dx.doi.org/10.1108/scm-10-2016-0365.

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Purpose The purpose of this study is to empirically investigate the impact of institutional pressures, institutional logics and institutional complexity on Sustainable Supply Chain Management (SSCM) practices across mixed public and private sector supply chains. Design/methodology/approach Multi-case study data were collected from three tiers of food and catering supply chains: the customer/consumer tier; focal public sector UK Universities; and private sector suppliers/contractors. Findings The findings indicate that: normative and mimetic pressures are more prevalent in focal Universities, c

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Butusov, O. B., and M. E. Dubinin. "Decision support system for supplier selection in supply chain." Izvestiya MGTU MAMI 7, no. 1-4 (2013): 268–71. http://dx.doi.org/10.17816/2074-0530-67927.

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Designed fuzzy logic algorithm and software and information management decision support system for the rational choice of supplier in the supply chain by using the analytic hierarchy process (AHP) and the operations of the theory of fuzzy sets. The functioning of the DSS has been verified experimentally on real accounting and statistics. The results of numerical experiments confirmed the effectiveness of the proposed algorithm for the adoption of logistics management solutions.

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Barcellos de Paula, Luciano, Anna María Gil-Lafuente, and Aline de Castro Rezende. "Sustainable Management of the Supply Chain Based on Fuzzy Logic." Cybernetics and Systems 52, no. 7 (2021): 579–600. http://dx.doi.org/10.1080/01969722.2021.1910763.

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Vo, Thanh Van, and Trung Quoc Pham. "APPLYING CFMAE METHOD TO BUILD A SUPPLY CHAIN PERFORMANCE ASSESSMENT SYSTEM IN TEXTILE INDUSTRY IN HO CHI MINH CITY." Science and Technology Development Journal 17, no. 4 (2014): 69–82. http://dx.doi.org/10.32508/stdj.v17i4.1545.

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The paper provides an application which is a combination between decision making technique and fuzzy logic to build a supply chain performance measurement system in textile industry in Ho Chi Minh City. The methodology is a combination of theoretical analysis, Delphi quantitative method and Combined Fuzzy Multiple Attribute Evaluation (CFMAE) method. First of all, based on theories on textile supply chain, we developed a hierarchical system for performance measurement. After three Delphi rounds to seek opinions of experts on the system, the CFMAE which consists of two phases (fuzzy integral an

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Choudhury, Abhik. "Fuzzy Logic-Driven Natural Language Processing in Pharma Supply Chain Analytics." International Journal on Soft Computing, Artificial Intelligence and Applications 13, no. 3/4 (2024): 01–22. https://doi.org/10.5121/ijscai.2024.13401.

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Fuzzy logic offers a method for handling uncertainty and imprecision, proving valuable in natural language processing (NLP). Fuzzy search, a key component, enhances search functionality by permitting approximate matches. This study examines the application of fuzzy search techniques in wholesale pharmaceutical distribution, where data retrieval accuracy is crucial for public health and safety. We present two case studies, each showcasing specific fuzzy search methods designed to overcome unique data retrieval challenges. A Python implementation demonstrates the practical application of these t

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., Sunil, Dharmanshu Kumar, Udit Mehta, and Rakesh Kumar. "Identification of the Barriers of Reverse Supply Chain." International Journal of Advance Research and Innovation 8, no. 2 (2020): 144–62. http://dx.doi.org/10.51976/ijari.822025.

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Reverse supply chains represent an opportunity to create a value stream, not financial loss. Reverse supply chains deserve as much attention at the corporate level as forward supply chains and should be managed as business processes that can create value for the company. Many manufacturing firms have not yet adapted reverse supply chain but view it as the great nightmare to their organizational system. Like many other system, reverse supply chain has also its critical success factors. This research aims to identify the barriers of reverse supply chain management which invariably present in the

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Erdebilli, Babek, and Çiğdem Sıcakyüz. "An Integrated Q-Rung Orthopair Fuzzy (Q-ROF) for the Selection of Supply-Chain Management." Sustainability 16, no. 12 (2024): 4901. http://dx.doi.org/10.3390/su16124901.

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The integration of sustainable indicators into supply-chain management (SCM), including cost, innovation capability, quality, service capability, long-term cooperation, environmental management system, pollution reduction, green image, social responsibility, and employment practices, has become essential for conducting strategic analyses of the entire supply-chain process competitive advantage. This study proposes a fuzzy integration multi-criteria decision-making (MCDM) method to solve SCM issues. To navigate this complexity, a multi-criterion decision-making (MCDM) framework is employed, int

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Mo, Xianyu. "AI-Based Supply Chain Risk Management." Applied and Computational Engineering 106, no. 1 (2024): 125–30. http://dx.doi.org/10.54254/2755-2721/106/20241297.

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As the complexity of global supply chains increases, supply chain risk management becomes increasingly important. The development of artificial intelligence (AI) technology provides new tools and methods for managing supply chain risks. This paper aims to review the application of AI in supply chain risk management, exploring current research progress, challenges, and future development trends. Through a systematic literature search and analysis, this paper examines relevant papers from databases such as Google Scholar, Web of Science, EI, and Scopus, discussing the specific applications of ma

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Agami, Nedaa, Mohamed Saleh, and Mohamed Rasmy. "An Innovative Fuzzy Logic Based Approach for Supply Chain Performance Management." IEEE Systems Journal 8, no. 2 (2014): 336–42. http://dx.doi.org/10.1109/jsyst.2012.2219913.

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R, Brindha, Devimani S, Subhashini v, et al. "Fuzzy Analytic Hierarchy Process (FAHP) Based Performance Assessment of Textile Industry in Tirupur." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 230–33. http://dx.doi.org/10.22214/ijraset.2024.64164.

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Abstract: This study explores the use of Fuzzy Analytic Hierarchy Process (FAHP) to evaluate and prioritize criteria in supply chain management within the textile industry of Tirupur district. Utilizing a detailed questionnaire reviewed by experts with over 30 years of industry experience, the study conducted pairwise comparisons of key criteria: cost (C1), quality (C2), time delivery (C3), and management and organization (C4). By applying FAHP, which effectively handles uncertainties in decision-making, the study determines the relative importance of these criteria. The findings provide a str

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Díaz-Curbelo, Alina, Andrade Rafael Alejandro Espin, and Municio Angel Manuel Gento. "The Role of Fuzzy Logic to Dealing with Epistemic Uncertainty in Supply Chain Risk Assessment: Review Standpoints." International Journal of Fuzzy Systems 22, no. 8 (2020): 2769–91. https://doi.org/10.1007/s40815-020-00846-5.

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The nature of supply chains presents a variety of issues related to uncertainties. Under various uncertainties,risk management plays a crucial role in an effective supply chain decision-making. The uncertainty involved in the riskassessment process can be divided into two types: random uncertainty and epistemic uncertainty. Fuzzy theory hasbeen applied to deal with uncertainties. The purpose of this paper is to analyze the role and contribution of the fuzzylogic in the treatment of epistemic uncertainty into supply chain risk management approaches. A literature reviewprocess was performed, fol

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Muzylyov, Dmitriy, Ievgen Medvediev, and Olexiy Pavlenko. "Risk factor assessment in agricultural supply chain by fuzzy logic." IOP Conference Series: Earth and Environmental Science 1376, no. 1 (2024): 012038. http://dx.doi.org/10.1088/1755-1315/1376/1/012038.

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Abstract Significant uncertainty characterizes the harvest period. This aspect is due to various risks impacting agrifood supply chains. The occurrence of risks is due to hazards: technological failures, technical breakdowns, or adverse weather conditions. Hence, the operational time of the agricultural supply chain during the harvest period increases due to such risk factors. In essence, some hazards are fuzzy, and the nature of most threats is characterized by significant uncertainty. Classical risk assessment methods do not allow assessing simultaneously the impact of various risks, especia

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Karimimalayer, Mehdi, and Nizaroyani Saibani. "Implementation of fuzzy logic to measure supply chain agility." International Journal of Advances in Intelligent Informatics 2, no. 1 (2016): 18. http://dx.doi.org/10.26555/ijain.v2i1.32.

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In our age of perennial changing environment, supply chain agility is a crucial factor having a great impact on the company's competitiveness. For transforming supply chain into an agile supply chain, first it is necessary to comprehend the meaning of agile supply chain, since agility has wide range of meanings and various dimensions which covers different aspects of an organization. Generally, however, there have been many researches on agility, proportionally; the concept of agility in supply chain has not been much surveyed. The circumstance unveils the necessity of a technique to measure t

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Håkansson, Håkan, and Göran Persson. "Supply Chain Management: The Logic of Supply Chains and Networks." International Journal of Logistics Management 15, no. 1 (2004): 11–26. http://dx.doi.org/10.1108/09574090410700202.

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A major assumption in the supply chain management literature is that there is an economic rationale to the integration of processes across firm boundaries. In essence, it is assumed that there is a benefit in adapting and coordinating the activities carried out in sequence by the actors in the supply chain. The purpose of this paper is to further develop and evaluate this fundamental assumption. Based on a theoretical framework regarding interdependencies and the analysis of five different supply chains, it is proposed that there are theoretical as well as empirical reasons for enhancing the u

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Joyeshree, Biswas, and Md Siddique Iqtiar. "Optimizing Decision Accuracy in Supplier Selection: A Mathematical Framework Employing Triangular Fuzzy Logic." European Journal of Advances in Engineering and Technology 11, no. 3 (2024): 88–98. https://doi.org/10.5281/zenodo.11312498.

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This study presents a comprehensive mathematical model employing triangular-based fuzzy decision-making techniques to enhance the precision of supplier selection processes. Supplier selection is a critical aspect of supply chain management, and decision-making in this domain involves dealing with uncertainties and imprecise information. The proposed model leverages triangular fuzzy logic to capture and manage uncertainties associated with supplier evaluation criteria. By integrating mathematical frameworks, the model provides a systematic approach to supplier selection, ensuring a more accurat

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Sharma, Avinash, Aarti M. Karande, and Dhananjay R. Kalbande. "Agility of Supply Chain Management Solution Using Neural-Fuzzy Approach." Journal of Computational and Theoretical Nanoscience 16, no. 10 (2019): 4143–48. http://dx.doi.org/10.1166/jctn.2019.8493.

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Enterprise solution is the architecture of collecting and processing business information. Business process agility affects process-based applications works as per changing business environment. This paper helps to understand different changing environment of business process in the supply chain domain. Changes depend on organizational policy; hence it can be incomplete or uncertain. To manage this unpredictable environment, a soft computing technique is used for constructing intelligent system. This paper shows use of Neuro-fuzzy approach to monitor agile behavior of the business process. Neu

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Musa, Ali Rehman, and Assist Prof Harith Yarub Maan. "Evaluating The Performance of The Supply Chain Using Artificial Intelligence Techniques: A Case Study In The Dairy Industry." INTERNATIONAL JOURNAL OF TRANSFORMATIONS IN BUSINESS MANAGEMENT 12, no. 01 (2022): 064–79. http://dx.doi.org/10.37648/ijtbm.v12i01.004.

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The issues of evaluating and improving supply chains are among the complex issues due to the diversity of factors affecting performance, as well as the gap between these factors and how they are applied. The current study aims to evaluate the performance of the Supply chains of the dairy factory, College of Agriculture, using artificial neural networks and fuzzy logic by relying on the balanced scorecard as a basic methodology for evaluation, which consists of five main aspects (financial - customer - internal processes - learning and growth - Suppliers). Each aspect has several sub-criteria a

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Rivest, Nosatzki Stein, and Hanguir Leiserson Truong. "A fuzzy sustainable model for drug supply chain networks during a pandemic." International Journal of Enterprise Modelling 17, no. 1 (2023): 1–14. http://dx.doi.org/10.35335/emod.v17i1.68.

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This research focuses on developing a fuzzy sustainable model for drug supply chain networks during a pandemic. The outbreak of a pandemic introduces unprecedented uncertainties and complexities to the drug supply chain, necessitating the integration of sustainability considerations and fuzzy logic techniques into decision-making processes. The proposed model aims to optimize decision variables, such as inventory levels, production capacities, transportation routes, and allocation strategies, while balancing conflicting objectives and addressing sustainability criteria. The model incorporates

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Rymarczyk, Tomasz, and Grzegorz Kłosowski. "SUPPLY CHAIN RISK MANAGEMENT BY MONTE CARLO METHOD." Informatics Control Measurement in Economy and Environment Protection 7, no. 4 (2017): 20–23. http://dx.doi.org/10.5604/01.3001.0010.7244.

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In this paper, the conceptual model of risk-based cost estimation for completing tasks within supply chain is presented. This model is a hybrid. Its main unit is based on Monte Carlo Simulation (MCS). Due to the fact that the important and difficult to evaluate input information is vector of risk-occur probabilities the use of artificial intelligence method was proposed. The model assumes the use of fuzzy logic or artificial neural networks – depending on the availability of historical data. The presented model could provide support to managers in making valuation decisions regarding various t

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Poornikoo, Mehdi, and Muhammad Azeem Qureshi. "System dynamics modeling with fuzzy logic application to mitigate the bullwhip effect in supply chains." Journal of Modelling in Management 14, no. 3 (2019): 610–27. http://dx.doi.org/10.1108/jm2-04-2018-0045.

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Purpose A plethora of studies focused on the cause and solutions for the bullwhip effect, and consequently many have successfully experimented to dampen the effect. However, the feasibility of such studies and the actual contribution for supply chain performance are yet up for debate. This paper aims to fill this gap by providing a holistic system-based perspective and proposes a fuzzy logic decision-making implementation for a single-product, three-echelon and multi-period supply chain system to mitigate such effect. Design/methodology/approach This study uses system dynamics (SD) as the cent

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Ghadge, Abhijeet, Xie Fang, Samir Dani, and Jiju Antony. "Supply chain risk assessment approach for process quality risks." International Journal of Quality & Reliability Management 34, no. 7 (2017): 940–54. http://dx.doi.org/10.1108/ijqrm-01-2015-0010.

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Purpose The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security risks. The case study approach examines the effectiveness of the fuzzy logic approach for assessing the product and process-related failure modes within global supply chain context. Design/methodology/approach The case study of a Printed Circuit Board Company in China is used as a platform for conducting the research. Using data triangulation, the data are collected and analyzed through interviews, questionnaires, expert opinions and quantitative modelling for some interesting i

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Peña Orozco, Diego León, Jesus Gonzalez-Feliu, Leonardo Rivera, and Camilo Andres Mejía Ramirez. "Integration maturity analysis for a small citrus producers' supply chain in a developing country." Business Process Management Journal 27, no. 3 (2021): 836–67. http://dx.doi.org/10.1108/bpmj-05-2020-0237.

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PurposeThe purpose of this research is to determine the convenience of using a contract model as an integration mechanism for decision-making in a decentralized supply chain of small agricultural producers in a developing country, taking as hypothesis coordinated chain achieves better management. The analysis is based on information obtained by direct inquiry to 99 small producers in the region, about planning, production, marketing and distribution in the chain, supplemented with secondary information sources.Design/methodology/approachAs a methodology an analysis of maturity in the chain bas

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Jahani, Alireza, Masrah Azrifah Azmi Murad, Md Nasir bin Sulaiman, and Mohd Hasan Selamat. "An agent-based supplier selection framework." Strategic Outsourcing: An International Journal 8, no. 2/3 (2015): 180–205. http://dx.doi.org/10.1108/so-01-2015-0003.

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Purpose – The purpose of this paper is to propose an approach that integrates three complementary perspectives, multi-agent systems, fuzzy logic and case-based reasoning. Unsatisfied customers, information overload and high uncertainty are the main challenges that are faced by today’s supply chains. In addition, a few existing agent-based approaches are tied to real-world supply chain functions like supplier selection. These approaches are static and do not adequately take the qualitative and quantitative factors into consideration. Therefore, an agent-based framework is needed to address thes

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Y. Robert Meetei. "A Fuzzy Set and Application of Fuzzy Multi Criteria Decision Making on Vendor Selection." Journal of Information Systems Engineering and Management 10, no. 33s (2025): 942–55. https://doi.org/10.52783/jisem.v10i33s.5739.

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Vendor selection plays a pivotal role in supply chain management, influencing the efficiency and effectiveness of operations. Traditional vendor selection methods often rely on crisp decision-making frameworks, which may oversimplify complex decision scenarios and neglect uncertainties inherent in real-world situations. This paper explores the application of fuzzy set theory as a novel approach to vendor selection, aiming to enhance decision-making processes in supply chain management. Drawing from the principles of fuzzy set theory, which allow for the representation of vague or imprecise inf

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Gizaw, Bethlehem Tamiru, and Alev Taskin Gumus. "Humanitarian Relief Supply Chain Performance Evaluation: A Literature Review." International Journal of Marketing Studies 8, no. 2 (2016): 105. http://dx.doi.org/10.5539/ijms.v8n2p105.

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<p>Nowadays small, medium and severe disasters are threatening our world. One of the important role players in alleviating these traits are humanitarian relief supply chains. The increasing number of disasters in our planet earth urges the humanitarian relief supply chains to focus on the assurance of safety of the victims. In order for this to occur, these supply chains should work effectively and efficiently. This can be possible through considerable evaluation of their supply chain performance. In this paper a literature review on supply chain performance evaluation in general and hum

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Cigolini, R., and T. Rossi. "Evaluating supply chain integration: a case study using fuzzy logic." Production Planning & Control 19, no. 3 (2008): 242–55. http://dx.doi.org/10.1080/09537280801916249.

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Marimin, Marimin, and Rika Ampuh Hadiguna. "ALOKASI PASOKAN BERDASARKAN PRODUK UNGGULAN UNTUK RANTAI PASOK SAYURAN SEGAR." Jurnal Teknik Industri 9, no. 2 (2008): 85–101. http://dx.doi.org/10.9744/jti.9.2.85-101.

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Application of artificial inteligent by using fuzzy logic can be one of way to handle supply chain situation in uncertainty environment. It was widely concern to study a supply chain using fuzzy logic that most needed. Ain of the study was apply fuzzy logic in determination of supply allocation for superior product in vegetables supply chain. Models was developed in three sub models. First was determination vegetables types that superior by using pareto technique and exponential compaarison method (MPE). Second was expert system to determine supply needed and finally was optimizing supply allo

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Muniswamy, Nadanakumar, and Parthiban Palanisamy. "Intelligent Procurement Scheduling System for Items Involving Public Procurement." Applied System Innovation 7, no. 5 (2024): 81. http://dx.doi.org/10.3390/asi7050081.

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The procurement of goods is considered a critical part in supply chain management, and it often has several unprecedented barriers leading to failure of the project. Uncertainties in availability, cost and demand-supply matching combined with stringent government norms andprocurement policies of various organizations need a thorough study in the present-day environment to develop sustainable and lean supplychain management. In this paper, use of a fuzzy logic system to estimate the tender finalization period of engineering items that involve public procurement is discussed. The tender finaliza

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Oyebode, O. J., and Z. O. Abdulazeez. "Optimization of Supply Chain Network in Solid Waste Management Using a Hybrid Approach of Genetic Algorithm and Fuzzy Logic: A Case Study of Lagos State." Nature Environment and Pollution Technology 22, no. 4 (2023): 1707–22. http://dx.doi.org/10.46488/nept.2023.v22i04.003.

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A strategic shift towards sustainable, appropriate supply chain networks and data-driven decision-making in solid waste management in rural and urban areas can drastically reduce environmental pollution. This study utilizes a hybrid strategy of genetic algorithms and fuzzy logic to improve the supply chain network in solid waste management in Lagos State. In this research, four local governments in Lagos State are taken as a case study to help Identify solid waste in those selected areas, acquire data to better understand the supply chain network in solid waste management, and use the data acq

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Alex, Rajan. "Fuzzy point estimation and its application on fuzzy supply chain analysis." Fuzzy Sets and Systems 158, no. 14 (2007): 1571–87. http://dx.doi.org/10.1016/j.fss.2007.01.015.

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Septiani, W., Marimin, Y. Herdiyeni, L. Haditjaroko, and T. S. Dewayana. "Intelligent decision support system for risk assessment and dairy price of dairy agroindustry supply chain." Journal of Modern Manufacturing Systems and Technology 5, no. 2 (2021): 41–51. http://dx.doi.org/10.15282/jmmst.v5i2.6851.

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Dairy and dairy processing industries are included in the group of food products and high-risk industries. Decision making in relation to risk management in dairy industry supply chain is significant. This study aimed at designing a Intelligent decision support system (DSS) for risk assessment of dairy agroindustry supply chain and the estimation of dairy price in the risk-based farmer level. The risk assessment is analyzed by fuzzy logic approach which is Fuzzy Inference System (FIS) and Fuzzy Assosiative Memories (FAMs). The basic knowledge of this system is obtained through the preparation

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Rakadhitya, Ryan, Natalia Hartono, and Laurence` Laurence. "Studi Kasus Mitigasi Risiko Rantai Pasok dengan Integrasi House of Risk dan Fuzzy Logic pada PT X." Journal of Integrated System 2, no. 2 (2019): 192–207. http://dx.doi.org/10.28932/jis.v2i2.1974.

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Supply Chain Management memiliki peranan vital di dalam sebuah perusahaan. Sejak berdiri pada tahun 1997, PT.X belum memiliki pengelolaan supply chain management yang baik sehingga masih seringkali terjadi kendala pada proses bisnis PT.X. Analisis mitigasi risiko diperlukan oleh PT.X agar dapat menanggulangi risiko yang mungkin terjadi di kemudian hari. Tujuan dilakukannya penelitian ini adalah untuk memberikan mitigasi risko dari sumber risiko prioritas yang terjadi di sepanjang proses binis PT.X dengan mengintegrasikan house of risk dan fuzzy logic. Pengumpulan data dilakukan dengan cara obs

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OLUWOLE, AYODELE OLUWASEGUN, BABATUNDE OMONIYI ODEDAIRO, and VICTOR OLUWASINA OLADOKUN. "MANAGING SUPPLY CHAIN RISKS: A FUZZY-FAILURE MODE AND EVALUATION APPROACH FOR RANKING THREATS." Journal of Engineering Studies and Research 27, no. 4 (2021): 60–69. http://dx.doi.org/10.29081/jesr.v27i4.300.

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On the backdrop of lower transportation cost, outsourcing paved the way for borderless production activities and ushered in the era of Supply Chain Management (SCM). For many organizations, achieving the goals of their Supply Chain (SC) is constantly threatened by increased competition and disruption. In this study, the aim is to identify, and rank, SC threats in a developing country using Failure Mode and Effects Analysis (FMEA) with Fuzzy Logic (FL). FMEA parameters were derived for 44 supply chain threats (SCT1 – SCT44) and their Risk Priority Number (RPN) determined. Subsequently, the Mamd

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Lagzaie, Leila, and Ali Hamzehee. "Providing a Multiproduct and Multiperiodic Model for Closed-Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market." Complexity 2022 (August 21, 2022): 1–11. http://dx.doi.org/10.1155/2022/2780073.

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Many organizations must adjust their supply chains and business environments to remain competitive and retain market share. However, despite the benefits of such developments for organizations, they can lead to supply chain disruptions in many cases. An essential aspect of modern organizations is closed-loop supply chain management, which reduces risk by coordinating processes. This paper presents a mathematical model of a closed-loop green supply chain under uncertain conditions. A detailed description of the model and current assumptions for a specific industry are provided. Consequently, th

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Rajaratnam, Dhaarsan, and Funlade Sunmola. "Evaluation of Airline Catering Supply Chain Practice Effectiveness using Fuzzy Logic." International Journal of Productivity and Quality Management 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijpqm.2021.10045812.

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Rajaratnam, Dhaarsan. "Evaluation of airline catering supply chain practice effectiveness using fuzzy logic." International Journal of Productivity and Quality Management 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijpqm.2021.10046412.

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Rajaratnam, Dhaarsan, and Funlade Sunmola. "Evaluation of airline catering supply chain practice effectiveness using fuzzy logic." International Journal of Productivity and Quality Management 40, no. 3 (2023): 308–39. http://dx.doi.org/10.1504/ijpqm.2023.134811.

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Nath, Shobod Deba, and Gabriel Eweje. "Inside the multi-tier supply firm: exploring responses to institutional pressures and challenges for sustainable supply management." International Journal of Operations & Production Management 41, no. 6 (2021): 908–41. http://dx.doi.org/10.1108/ijopm-09-2020-0651.

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PurposeThe purpose of this study is to examine how multi-tier suppliers respond to the institutional pressures for the implementation of sustainable supply management (SSM) practices in supply chains, and what institutional logics allow them to do so.Design/methodology/approachThis study employs a qualitative research design, drawing on data from semi-structured interviews with 46 owners and managers of multi-tier suppliers and 18 key informants of diverse stakeholders. Following an abductive approach, institutional theory conceptually guides the analytical iteration processes between theory a

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Septiani, Winnie, Marimin, Yeni Herdiyeni, and Liesbetini Haditjaroko. "Risk dependency chain model of dairy agro-industry supply chain using fuzzy logic approach." Supply Chain Forum: An International Journal 17, no. 4 (2016): 218–30. http://dx.doi.org/10.1080/16258312.2016.1232945.

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Anand, K. R., Ramalingaiah, and P. Parthiban. "Fuzzy Quantitative Approach to Prioritize Green Factors in Supply Chain." Applied Mechanics and Materials 592-594 (July 2014): 2645–53. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2645.

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Eco Design integrates environmental thinking into product design and packaging including in its production, consumption and disposal of the product life cycle in the supply chain. In today’s scenario eco design is very important for saving our environment. This papers aims to investigate the technology, organization and environment factors of the eco design that influence the adoption of Green Supply Chain Management using Fuzzy Quality Function Deployment (FQFD). Quality function deployment (QFD) is a planning and problem-solving methodology used to translate customer requirements (CRs) into

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Xu, Bowei, Weiting Liu, and Junjun Li. "Resilience Regulation Strategy for Container Port Supply Chain under Disruptive Events." Journal of Marine Science and Engineering 11, no. 4 (2023): 732. http://dx.doi.org/10.3390/jmse11040732.

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There are many inevitable disruptive events, such as the COVID-19 pandemic, natural disasters and geopolitical conflicts, during the operation of the container port supply chain (CPSC). These events bring ship delays, port congestion and turnover inefficiency. In order to enhance the resilience of the CPSC, a modified two-stage CPSC system containing a container pretreatment system (CPS) and a container handling system (CHS) is built. A two-dimensional resilience index is designed to measure its affordability and recovery. An adaptive fuzzy double-feedback adjustment (AFDA) strategy is propose

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Peidro, David, Josefa Mula, Raúl Poler, and José-Luis Verdegay. "Fuzzy optimization for supply chain planning under supply, demand and process uncertainties." Fuzzy Sets and Systems 160, no. 18 (2009): 2640–57. http://dx.doi.org/10.1016/j.fss.2009.02.021.

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Sim, Hock Kheng, and Zhi Xin Wong. "Fuzzy Decision Tree Approach for Optimal Supplier Base." Applied Mechanics and Materials 315 (April 2013): 283–87. http://dx.doi.org/10.4028/www.scientific.net/amm.315.283.

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Minimizing supplier base allows better supplier relationship management, but any supplier failure will interrupt the supplies chain. Earth quake in Fukushima, Japan and flood in Bangkok, Thailand, caused supply chain breakdown and affect the global production. Decision tree method is recommended to determine optimal number of supplier in supplier base with the risk of supplier failure. This paper presented an approach to integrate fuzzy logic in decision tree approach by rating the supplier risk in linguistic terms for imperfect environment. Numerical example and sensitivity are carried out an

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Azadnia, Amir Hossein, Pezhman Ghadimi, Muhamad Zameri Mat Saman, Kuan Yew Wong, and Cathal Heavey. "An Integrated Approach for Sustainable Supplier Selection Using Fuzzy Logic and Fuzzy AHP." Applied Mechanics and Materials 315 (April 2013): 206–10. http://dx.doi.org/10.4028/www.scientific.net/amm.315.206.

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Supplier selection is one of the important processes in supply chain management. Regarding the emergence of sustainability issues in recent decades, companies have incorporated these issues in conventional supplier selection in order to meet governmental legislations and market demands. These issues have been noticed by various researchers. However, there are limited research activities which considered all aspects of sustainability for supplier selection problem as an integrated assessment. In this paper, an integrated approach of Fuzzy Analytical Hierarchy Process and fuzzy logic has been pr

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