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Multi-item bi-level supply chain planning with multiple remanufacturing of reusable by-products

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  • Rowshannahad, Mehdi
  • Absi, Nabil
  • Dauzère-Pérès, Stéphane
  • Cassini, Bernard

Abstract

In this paper, we investigate a multi-item production planning problem in which remanufacturable raw materials are used for manufacturing the final products. The used raw material (considered as a kind of by-product) needs to be remanufactured before being suitable to be used again to manufacture other final products. However, by-products can be remanufactured only a given number of times. The manufacturing and remanufacturing processes are performed in separated production processes with limited capacity. Each product may be produced using specific raw material references (newly purchased and/or remanufactured). The original industrial case study is based on the supply chain of Silicon-On-Insulator fabrication units. The problem is modeled as a mixed-integer linear mathematical program. Using numerical examples based on industrial data, the model is validated and its behavior is analyzed. Finally, some industrial and academic perspectives to this study are proposed.

Suggested Citation

  • Rowshannahad, Mehdi & Absi, Nabil & Dauzère-Pérès, Stéphane & Cassini, Bernard, 2018. "Multi-item bi-level supply chain planning with multiple remanufacturing of reusable by-products," International Journal of Production Economics, Elsevier, vol. 198(C), pages 25-37.
    • Handle: RePEc:eee:proeco:v:198:y:2018:i:c:p:25-37
    DOI: 10.1016/j.ijpe.2018.01.014
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    Cited by:

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    2. Suzanne, Elodie & Absi, Nabil & Borodin, Valeria, 2020. "Towards circular economy in production planning: Challenges and opportunities," European Journal of Operational Research, Elsevier, vol. 287(1), pages 168-190.
    3. Chen, Daqiang & Ignatius, Joshua & Sun, Danzhi & Zhan, Shalei & Zhou, Chenyu & Marra, Marianna & Demirbag, Mehmet, 2019. "Reverse logistics pricing strategy for a green supply chain: A view of customers' environmental awareness," International Journal of Production Economics, Elsevier, vol. 217(C), pages 197-210.
    4. Heibatolah Sadeghi & Hêriş Golpîra & Faicel Hnaien & Cosimo Magazzino, 2023. "Pricing-inventory model with discrete demand and delivery orders," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(3), pages 119-139.

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