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A meta-heuristic for a bi-objective multi-commodity green distribution network

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  • Malika Nisal Ratnayake
  • Voratas Kachitvichyanukul
  • Huynh Trung Luong

Abstract

This paper presents a bi-objective optimisation model for solving the location-allocation problem (LAP) of a distribution network that consists of four echelons including suppliers, manufacturing plants, distribution centres and customers. Multiple product types and raw materials are considered. A bi-objective mathematical model is formulated to minimise the total costs and the greenhouse gas emissions arising from the location-allocation decisions. A meta-heuristic algorithm is developed to solve the proposed mathematical model. The proposed algorithm was implemented using multi-objective particle swarm optimisation (MOPSO) and multi-objective differential evolution (MODE) solution methods and results were analysed.

Suggested Citation

  • Malika Nisal Ratnayake & Voratas Kachitvichyanukul & Huynh Trung Luong, 2020. "A meta-heuristic for a bi-objective multi-commodity green distribution network," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 36(2), pages 282-304.
    • Handle: RePEc:ids:ijlsma:v:36:y:2020:i:2:p:282-304
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    Cited by:

    1. Batool Madani & Afef Saihi & Akmal Abdelfatah, 2024. "A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends," Sustainability, MDPI, vol. 16(8), pages 1-33, April.

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