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

Malika Nisal Ratnayake; Voratas Kachitvichyanukul; Huynh Trung Luong

doi:10.1504/IJLSM.2020.107384

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

Malika Nisal Ratnayake, Voratas Kachitvichyanukul, Huynh Trung Luong

Research output: Contribution to journal › Article › Research › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages (from-to)	282-304
Number of pages	23
Journal	International Journal of Logistics Systems and Management
Volume	36
Issue number	2
DOIs	https://doi.org/10.1504/IJLSM.2020.107384
Publication status	Published - 20 May 2020
Externally published	Yes

Keywords

Green supply chain design
LAP
Location-allocation problem
Meta-heuristics
Multi-commodity distribution network problem
Multiple objective optimisation

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10.1504/IJLSM.2020.107384

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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.",

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

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Keywords

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