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Green supply chain network design considering inventory-location-routing problem: a fuzzy solution approach

Author

Listed:
  • Sobhgol Gholipour
  • Amir Ashoftehfard
  • Hassan Mina

Abstract

The growing rate of population and technological advancement have led to an increase in natural resource consumption, which has caused irreparable damage to the environment. The implementation of green supply chain management is one of the most effective ways to deal with environmental degradation. Therefore, in this paper, a bi-objective mixed integer linear programming model is developed to design a green supply chain network. In the proposed model, the possibility of customer storage, being faced with shortage, locating of distribution centres, green vehicle routing problem, split delivery, multi-depot vehicle routing problem (VRP), capacitated VRP, and uncertainty in demands will be considered. The aim of the proposed model is to minimise the total cost and total shortages simultaneously and, therefore, a fuzzy solution approach is applied for this purpose. The results of implementing this model in a production chain of automotive parts in Iran indicate the exact and efficient performance of the proposed model.

Suggested Citation

  • Sobhgol Gholipour & Amir Ashoftehfard & Hassan Mina, 2020. "Green supply chain network design considering inventory-location-routing problem: a fuzzy solution approach," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 35(4), pages 436-452.
    • Handle: RePEc:ids:ijlsma:v:35:y:2020:i:4:p:436-452
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    Citations

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    Cited by:

    1. Katherinne Salas-Navarro & Paula Serrano-Pájaro & Holman Ospina-Mateus & Ronald Zamora-Musa, 2022. "Inventory Models in a Sustainable Supply Chain: A Bibliometric Analysis," Sustainability, MDPI, vol. 14(10), pages 1-21, May.
    2. Lihua Liu & Lai Soon Lee & Hsin-Vonn Seow & Chuei Yee Chen, 2022. "Logistics Center Location-Inventory-Routing Problem Optimization: A Systematic Review Using PRISMA Method," Sustainability, MDPI, vol. 14(23), pages 1-39, November.
    3. M. Tadaros & A. Migdalas, 2022. "Bi- and multi-objective location routing problems: classification and literature review," Operational Research, Springer, vol. 22(5), pages 4641-4683, November.

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