2020/09/13 by Ahmad Sobhan Abir, Abir, Ahmad Sobhan, Ishtiaq Ahmed Bhuiyan +5
Business, Management and Accounting · Engineering · #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Process Optimization and Integration #Supply Chain Resilience and Risk Management #Sustainable Supply Chain Management #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2009.06047
openalex publication_date 2020/09/13 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Supply chain management has been concentrated on productive ways to manage\nflows through a sophisticated vendor, manufacturer, and consumer networks for\ndecades. Recently, energy and material rates have been greatly consumed to\nimprove the sector, making sustainable development the core problem for\nadvanced and developing countries. A new approach of supply chain management is\nproposed to maintain the economy along with the environment issue for the\ndesign of supply chain as well as the highest reliability in the planning\nhorizon to fulfill customers demand as much as possible. This paper aims to\noptimize a new sustainable closed-loop supply chain network to maintain the\nfinancial along with the environmental factor to minimize the negative effect\non the environment and maximize the average total number of products dispatched\nto customers to enhance reliability. The situation has been considered under\ndemand uncertainty with warehouse reliability. This approach has been suggested\nthe multi-objective mathematical model minimizing the total costs and total CO2\nemissions and maximize the reliability in handling for establishing the\nclosed-loop supply chain. Two optimization methods are used namely\nMulti-Objective Genetic Algorithm Optimization Method and Weighted Sum Method.\nTwo results have shown the optimality of this approach. This paper also showed\nthe optimal point using Pareto front for clear identification of optima. The\nresults are approved to verify the efficiency of the model and the methods to\nmaintain the financial, environmental, and reliability issues.\n