Supply chain optimisation with both production and transportation integration: multiple vehicles for a single perishable product
Philippe Lacomme,
Aziz Moukrim,
Alain Quilliot and
Marina Vinot
International Journal of Production Research, 2018, vol. 56, issue 12, 4313-4336
Abstract:
This paper deals with an extension of the integrated production and transportation scheduling problem (PTSP) by considering multiple vehicles (PTSPm) for optimisation of supply chains. The problem reflects a real concern for industry since production and transportation subproblems are commonly addressed independently or sequentially, which leads to sub-optimal solutions. The problem includes specific capacity constraints, the short lifespan of products and the special case of the single vehicle that has already been studied in the literature. A greedy randomised adaptive search procedure (GRASP) with an evolutionary local search (ELS) is proposed to solve the instances with a single vehicle as a special case. The method has been proven to be more effective than those published and provides shorter computational times with new best solutions for the single vehicle case. A new set of instances with multiple vehicles is introduced to favour equitable future research. Our study extends previous research using an indirect resolution approach and provides an algorithm to solve a wide range of one-machine scheduling problems with the proper coordination of single or multiple vehicles.
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:56:y:2018:i:12:p:4313-4336
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DOI: 10.1080/00207543.2018.1431416
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