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A multi-objective optimization model for the design of an effective decarbonized supply chain in mining

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  • Canales-Bustos, Linda
  • Santibañez-González, Ernesto
  • Candia-Véjar, Alfredo

Abstract

In this work, a three-objective optimization model for the design of an effective decarbonized supply chain in mining is proposed. It considers the installation and transport costs as the economic objective, the environmental objective through emissions from transport and operations, and the efficiency of the processing plants as the technological objective. We suggested a Pareto-based algorithm, which is a Multi-objective Hybrid Particle Swarm Optimization metaheuristic, for solving the problem. Using six metrics, many categorized instances are given to compare the performances of our algorithm, with those of an epsilon-constraint based algorithm (AUGMECON). The computational experiments show that the proposed metaheuristic is better than AUGMECON when it comes to metrics related to diversity and the distribution of solutions in the Pareto front.

Suggested Citation

  • Canales-Bustos, Linda & Santibañez-González, Ernesto & Candia-Véjar, Alfredo, 2017. "A multi-objective optimization model for the design of an effective decarbonized supply chain in mining," International Journal of Production Economics, Elsevier, vol. 193(C), pages 449-464.
    • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:449-464
    DOI: 10.1016/j.ijpe.2017.08.012
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    Cited by:

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    2. Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.
    3. Jabbour, Charbel Jose Chiappetta & de Sousa Jabbour, Ana Beatriz Lopes & Sarkis, Joseph, 2019. "Unlocking effective multi-tier supply chain management for sustainability through quantitative modeling: Lessons learned and discoveries to be made," International Journal of Production Economics, Elsevier, vol. 217(C), pages 11-30.
    4. Arabi, Mahsa & Gholamian, Mohammad Reza, 2023. "Resilient closed-loop supply chain network design considering quality uncertainty: A case study of stone quarries," Resources Policy, Elsevier, vol. 80(C).
    5. Soleimani, Hamed, 2021. "A new sustainable closed-loop supply chain model for mining industry considering fixed-charged transportation: A case study in a travertine quarry," Resources Policy, Elsevier, vol. 74(C).
    6. Alexandros Nikas & Angelos Fountoulakis & Aikaterini Forouli & Haris Doukas, 2022. "A robust augmented ε-constraint method (AUGMECON-R) for finding exact solutions of multi-objective linear programming problems," Operational Research, Springer, vol. 22(2), pages 1291-1332, April.
    7. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    8. Xifeng Tang & Jiantao Wu & Rui Li, 2020. "Efficient Allocation of Customers to Facilities in the Multi-Objective Sustainable Location Problem," Sustainability, MDPI, vol. 12(18), pages 1-12, September.
    9. Evgeny Gafarov & Frank Werner, 2019. "Two-Machine Job-Shop Scheduling with Equal Processing Times on Each Machine," Mathematics, MDPI, vol. 7(3), pages 1-11, March.

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