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Multi-Directional Local Search for Sustainable Supply Chain Network Design

Author

Listed:
  • Majid Eskandarpour

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, IESEG - School of Management)

  • Pierre Dejax

    (LS2N - équipe SLP - Systèmes Logistiques et de Production - LS2N - Laboratoire des Sciences du Numérique de Nantes - UN UFR ST - Université de Nantes - UFR des Sciences et des Techniques - UN - Université de Nantes - ECN - École Centrale de Nantes - CNRS - Centre National de la Recherche Scientifique - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], IMT Atlantique - DAPI - Département Automatique, Productique et Informatique - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], LS2N - Laboratoire des Sciences du Numérique de Nantes - UN UFR ST - Université de Nantes - UFR des Sciences et des Techniques - UN - Université de Nantes - ECN - École Centrale de Nantes - CNRS - Centre National de la Recherche Scientifique - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris])

  • Olivier Péton

    (LS2N - équipe SLP - Systèmes Logistiques et de Production - LS2N - Laboratoire des Sciences du Numérique de Nantes - UN UFR ST - Université de Nantes - UFR des Sciences et des Techniques - UN - Université de Nantes - ECN - École Centrale de Nantes - CNRS - Centre National de la Recherche Scientifique - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], IMT Atlantique - DAPI - Département Automatique, Productique et Informatique - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris], LS2N - Laboratoire des Sciences du Numérique de Nantes - UN UFR ST - Université de Nantes - UFR des Sciences et des Techniques - UN - Université de Nantes - ECN - École Centrale de Nantes - CNRS - Centre National de la Recherche Scientifique - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris])

Abstract

In this paper, we propose a bi-objective MILP formulation to minimize logistics costs as well as CO 2 emissions in a supply chain network design problem with multiple layers of facilities, technology levels and transportation mode decisions. The proposed model aims at investigating the trade-off between cost and CO 2 emissions through supply chain activities (i.e., raw material supply, manufacturing, warehousing, and transportation). To this end, a multi-directional local search (MDLS) metaheuristic is developed. The proposed method provides a limited set of non-dominated solutions ranging from a purely cost effective solution to a purely environmentally effective one. Each iteration of the MDLS consists in performing local searches from all non-dominated solutions. To do so, a Large Neighborhood Search (LNS) algorihtm is used. Extensive experiments based on randomly generated instances of various sizes and features are described. Three classic performance measures are used to compare the set of non-dominated solutions obtained by the MDLS algorithm and by directly solving the MILP model with the epsilon-constraint approach. This paper is concluded by managerial insights about the impact of using greener technology on the supply chain * Corresponding author. Olivier Péton, IMT Atlantique,

Suggested Citation

  • Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.
    • Handle: RePEc:hal:journl:hal-02407741
    DOI: 10.1080/00207543.2019.1696488
    Note: View the original document on HAL open archive server: https://hal.science/hal-02407741
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    References listed on IDEAS

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    1. Chamari Pamoshika Jayarathna & Duzgun Agdas & Les Dawes & Tan Yigitcanlar, 2021. "Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review," Sustainability, MDPI, vol. 13(24), pages 1-31, December.
    2. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.

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