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Environmental issue in an integrated production and maintenance control of unreliable manufacturing/remanufacturing systems

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  • Nadia Ndhaief
  • Rezg Nidhal
  • Adnène Hajji
  • Olivier Bistorin

Abstract

This paper addresses a joint production and maintenance problem under environmental constraints and reliability issues in a manufacturing/remanufacturing context. The manufacturing system is composed of one machine producing one type of product. The remanufacturing system, also composed of one machine, retrieves returned products from the market in order to refurbish them. The manufacturing and remanufacturing systems aim to satisfy random demands under a given service level. Moreover, the entire system generates harmful emissions. Exceeding carbon emission limits defined by authorities may risk sanctions. We aim to propose a compromise between ecologic and economic production and maintenance plan by calling on green subcontracting in order to satisfy the demand and avoid emission excess. Three models are proposed in this paper. These models tackle mainly the basic production problems and propose alternative equivalent solution schemas for future extensions. The robustness and usefulness of the proposals are illustrated with various examples and sensitivity analyses.

Suggested Citation

  • Nadia Ndhaief & Rezg Nidhal & Adnène Hajji & Olivier Bistorin, 2020. "Environmental issue in an integrated production and maintenance control of unreliable manufacturing/remanufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 58(14), pages 4182-4200, July.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:14:p:4182-4200
    DOI: 10.1080/00207543.2019.1650212
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    Cited by:

    1. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
    2. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).

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