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Gotowe bibliografie tematyczne / Dynamic supply chain-Fuzzy logic

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Gotowa bibliografia na temat „Dynamic supply chain-Fuzzy logic”

Autor: Grafiati

Data publikacji: 6 września 2023

Data aktualizacji: 7 września 2023

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Artykuły w czasopismach na temat "Dynamic supply chain-Fuzzy logic"

1

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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Jamegh, Riyadh, Dr AllaEldin Kassam, and Dr Sawsan Sabih. "DEVELOPMENT OF FUZZY LOGIC APPROACH TO OPTIMIZE SAFETY STOCK LEVEL IN DETERIORATED PRODUCTS/A SUPPLY CHAIN DAIRY INDUSTRIES CASE STUDY." Al-Qadisiyah Journal for Engineering Sciences 11, no. 3 (2019): 332–44. http://dx.doi.org/10.30772/qjes.v11i3.564.

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In today's complex environment, a high responding ability represents a core for each organization to survive in a competitive environment. To grip your position in intense competition market, the organization must design high efficiency inventory system that has the ability to respond to changes in demand and at the same time reduce holding cost of accommodation to the lowest possible value by controlling inventory drivers such as safety stock level (SS). The traditional approaches of safety stock are limited to deal with dynamic behavior of market. Advanced approaches based on soft computing

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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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Matawale, Chhabi Ram, Saurav Datta, and S. S. Mahapatra. "A fuzzy embedded leagility assessment module in supply chain." Benchmarking: An International Journal 23, no. 7 (2016): 1937–82. http://dx.doi.org/10.1108/bij-12-2013-0113.

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Purpose In today’s ever-changing global business environment, successful survival of manufacturing firms/production units depends on the extent of fulfillment of dynamic customers’ demands. Appropriate supply chain strategy is of vital concern in this context. Lean principles correspond to zero inventory level; whereas, agile concepts motivate safety inventory to face and withstand in turbulent market conditions. The leagile paradigm is gaining prime importance in the contemporary scenario which includes salient features of both leanness and agility. While lean strategy affords markets with pr

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5

Aengchuan, Prasert, and Busaba Phruksaphanrat. "Inventory System Design by Fuzzy Logic Control: A Case Study." Advanced Materials Research 811 (September 2013): 619–24. http://dx.doi.org/10.4028/www.scientific.net/amr.811.619.

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Existing inventory lot-sizing models assume certain demand and sufficient supply, which are not practical for industry. Dynamic inventory models can serve uncertain demand, but supply is assumed to be available. However, in the real world situation, supply is not always offered. So, the method that can deal with both uncertain demand and supply should be developed. Fuzzy logic control is now being the effective methodology in many applications under uncertainty. Therefore, a fuzzy logic approach for solving the problem of inventory control under uncertainty was proposed for a case study factor

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Pérez-Pimentel, Yolanda, Ismael Osuna-Galán, Carlos Avilés-Cruz, and Juan Villegas-Cortez. "Power Supply Management for an Electric Vehicle Using Fuzzy Logic." Applied Computational Intelligence and Soft Computing 2018 (November 5, 2018): 1–9. http://dx.doi.org/10.1155/2018/2846748.

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The technology of power electronic systems has diversified into industrial, commercial, and residential areas. Developing a strategy to improve the performance of the electrical energy of an electric vehicle (EV) requires an analysis of the model that describes it. EVs are complex mechatronic systems described by nonlinear models and, therefore, its study is not an easy task. It can improve the performance of a battery bank by creating new batteries that allow for greater storage or by developing a management energy system. This article shows the development of a power supply management system

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Al-Zabidi, Ayoub, Ateekh Ur Rehman, and Mohammed Alkahtani. "An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization." Sustainability 13, no. 4 (2021): 1752. http://dx.doi.org/10.3390/su13041752.

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Worldwide business organizations realize that agility of sustainable supply-chain is a requisite need for survival in a dynamic, competitive, and unpredictable market. The contribution of this research is to explore and evaluate sustainable agility in supply chains for a dairy manufacturing organization located in Saudi Arabia. Other contributions of this research are to update the literature about the different factors contributing to achieve agile supply chain, propose conceptual framework and assessment approach incorporating the relationships between sustainable supply-chain capabilities,

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Richey, R. Glenn, Chadwick B. Hilton, Michael G. Harvey, Lauren Skinner Beitelspacher, Mert Tokman, and Miriam Moeller. "Aligning operant resources for global performance: An assessment of supply chain human resource management." Journal of Management & Organization 17, no. 3 (2011): 364–82. http://dx.doi.org/10.1017/s1833367200001528.

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AbstractPurpose:The intent of the paper is to develop the service marketing logic (S-D logic) strategy that is centered on service as a means to differentiate global strategy from those of competitors. The context of the paper is to examine S-D logic in global supply chains. Design/Methodology:The paper is a theory driven conceptual piece.Findings:Globalization emphasizes complex interconnected systems, while S-D logic emphasizes the importance of leveraging operant resources in order to achieve sustainable competitive advantage. Both S-D logic and globalization apply in the supply chain conte

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Richey, R. Glenn, Chadwick B. Hilton, Michael G. Harvey, Lauren Skinner Beitelspacher, Mert Tokman, and Miriam Moeller. "Aligning operant resources for global performance: An assessment of supply chain human resource management." Journal of Management & Organization 17, no. 3 (2011): 364–82. http://dx.doi.org/10.5172/jmo.2011.17.3.364.

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AbstractPurpose:The intent of the paper is to develop the service marketing logic (S-D logic) strategy that is centered on service as a means to differentiate global strategy from those of competitors. The context of the paper is to examine S-D logic in global supply chains. Design/Methodology:The paper is a theory driven conceptual piece.Findings:Globalization emphasizes complex interconnected systems, while S-D logic emphasizes the importance of leveraging operant resources in order to achieve sustainable competitive advantage. Both S-D logic and globalization apply in the supply chain conte

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10

Kamal, Esraa, Amal F. Abdel Abdel-Gawad, and Shereen Zaki. "Neutrosophic-based Machine Learning Techniques in the Context of Supply Chain Management: A Survey." International Journal of Neutrosophic Science 21, no. 2 (2023): 142–60. http://dx.doi.org/10.54216/ijns.210213.

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Supply Chain Management (SCM) plays a critical role in the success of any business organization. Individuals involved in business activities often have to make decisions regarding different aspects of the supply chain, including planning, procurement, production, inventory management, transportation, distribution, and customer relationship management. The combination of neutrosophic logic and machine learning has gained significant attention in the field of SCM as a means to tackle uncertainties and improve decision-making. This paper highlights the potential benefits and applications of integ

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