Journal articles
Supply chain optimisation with both production and transportation integration: multiple vehicles for a single perishable product
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.
Cited literature [32 references]
https://hal.uca.fr/hal-01948606
Contributor : Marina Vinot <>
Submitted on : Tuesday, February 4, 2020 - 9:51:55 AM
Last modification on : Tuesday, June 16, 2020 - 5:02:07 PM
Long-term archiving on: : Tuesday, May 5, 2020 - 1:27:47 PM
Contributor : Marina Vinot <>
Submitted on : Tuesday, February 4, 2020 - 9:51:55 AM
Last modification on : Tuesday, June 16, 2020 - 5:02:07 PM
Long-term archiving on: : Tuesday, May 5, 2020 - 1:27:47 PM
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IJPR2_14.pdf
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