A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues

Product recovery is critical in reducing costs, enhancing profitability, and improving supply chain responsiveness to customer demands. Remanufacturing returned products, as part of the circular economy, is a central strategy in achieving these goals. This study presents a model that optimizes the r...

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Main Authors: Vahid Hajipour, Shermineh Hadad Kaveh, Fatih Yiğit, Ali Gharaei
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Supply Chain Analytics
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Online Access:http://www.sciencedirect.com/science/article/pii/S2949863525000184
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author Vahid Hajipour
Shermineh Hadad Kaveh
Fatih Yiğit
Ali Gharaei
author_facet Vahid Hajipour
Shermineh Hadad Kaveh
Fatih Yiğit
Ali Gharaei
author_sort Vahid Hajipour
collection DOAJ
description Product recovery is critical in reducing costs, enhancing profitability, and improving supply chain responsiveness to customer demands. Remanufacturing returned products, as part of the circular economy, is a central strategy in achieving these goals. This study presents a model that optimizes the remanufacturing process using in-house workstations and outsourcing to maximize supply chain profitability, reduce queue lengths, and ensure machine reliability. The remanufacturing system is modeled as an M/M/m/k queuing system, considering real-world supply chain constraints such as budget limitations, station capacity, and machine reliability. Supply chain optimization is achieved by maintaining efficiency while examining different remanufacturing policies and pricing strategies. The results show that expanding remanufacturing capacity enhances supply chain profitability, even with moderate increases in queue length. We provide valuable insights for supply chain managers aiming to optimize their remanufacturing processes and balance cost, efficiency, and reliability.
format Article
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issn 2949-8635
language English
publishDate 2025-06-01
publisher Elsevier
record_format Article
series Supply Chain Analytics
spelling doaj-art-fdcc11dde91e4669af2dbd9385faacae2025-08-20T03:22:04ZengElsevierSupply Chain Analytics2949-86352025-06-011010011810.1016/j.sca.2025.100118A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queuesVahid Hajipour0Shermineh Hadad Kaveh1Fatih Yiğit2Ali Gharaei3Department of Industrial Engineering, West Tehran Branch, Islamic Azad University, Tehran, IranDepartment of Industrial Engineering, Alzahra University, Tehran, IranDepartment of Industrial Engineering, School of Engineering and Architecture, Altinbas University, Istanbul, TurkeyResearch Center, FANAP Co., Tehran, Iran; Corresponding author.Product recovery is critical in reducing costs, enhancing profitability, and improving supply chain responsiveness to customer demands. Remanufacturing returned products, as part of the circular economy, is a central strategy in achieving these goals. This study presents a model that optimizes the remanufacturing process using in-house workstations and outsourcing to maximize supply chain profitability, reduce queue lengths, and ensure machine reliability. The remanufacturing system is modeled as an M/M/m/k queuing system, considering real-world supply chain constraints such as budget limitations, station capacity, and machine reliability. Supply chain optimization is achieved by maintaining efficiency while examining different remanufacturing policies and pricing strategies. The results show that expanding remanufacturing capacity enhances supply chain profitability, even with moderate increases in queue length. We provide valuable insights for supply chain managers aiming to optimize their remanufacturing processes and balance cost, efficiency, and reliability.http://www.sciencedirect.com/science/article/pii/S2949863525000184Supply chain optimizationReliable remanufacturingQueuingMathematical modellingBudget limitationsStation capacity
spellingShingle Vahid Hajipour
Shermineh Hadad Kaveh
Fatih Yiğit
Ali Gharaei
A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues
Supply Chain Analytics
Supply chain optimization
Reliable remanufacturing
Queuing
Mathematical modelling
Budget limitations
Station capacity
title A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues
title_full A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues
title_fullStr A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues
title_full_unstemmed A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues
title_short A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues
title_sort multi objective supply chain optimization model for reliable remanufacturing problems with m m m k queues
topic Supply chain optimization
Reliable remanufacturing
Queuing
Mathematical modelling
Budget limitations
Station capacity
url http://www.sciencedirect.com/science/article/pii/S2949863525000184
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