Benders Decomposition Algorithm for a Build-to-Order Supply Chain Problem Under Uncertainty
Publish place: International Journal of Industrial Engineering & Production Research، Vol: 30، Issue: 2
Publish Year: 1398
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJIEPR-30-2_004
تاریخ نمایه سازی: 3 اسفند 1398
Abstract:
Since customization increases, build-to-order systems have received greater attention from researchers and practitioners. This paper presents a new build-to-order supply chain model with multiple objectives that minimize the total cost and lead time and, also, maximize the quality level. The model is first formulated in a deterministic condition and, then, the uncertainty of the cost and quality by the scenario-based approach to solving a robust optimization was investigated. The return policy and outsourcing are the new issues in a build-to-order supply chain considering the cost and inventory. A Benders decomposition algorithm is used to solve and validate the model. Finally, the related results are analyzed and compared with the results obtained by CPLEX for deterministic and scenario-based models
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Authors
Malieheh Ebrahimi
Department of Industrial Engineering, Albourz Campus, University of Tehran, Tehran, Iran.
Reza Tavakkoli-Moghaddam
School of Industrial Engineering, College of Engineering,University of Tehran, Tehran, Iran. . LCFC, Arts et Métiers ParisTech, Metz, France.
Fariborz Jolai
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.