Title: Simulating operations process to achieve a hybrid optimal operational performance in supply chain scheduling: a case study

Authors: Salman Sigari

Addresses: School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham, B4 7ET, UK

Abstract: One of the most challenging aspects of supply chain management is synchronising job-shop production and transportation in a network to guarantee on-time delivery to distributed customers. In multiple job-shop problems, there are j jobs that need to be processed by m machines with a certain objective function to be minimised and it has been classified as a combination problem. This study uses genetic algorithm (GA) with some modifications to deal with the problem of multiple job-shop scheduling. At the end, the most suitable machine arrangement would be presented from the program due to achieve sustainable supply chain management model.

Keywords: genetic algorithms; sustainable supply chains; job shop scheduling; just-in-time; JIT; makespan; simulation; operational performance; supply chain scheduling; case study; supply chain management; SCM.

DOI: 10.1504/IJISE.2016.076402

International Journal of Industrial and Systems Engineering, 2016 Vol.23 No.2, pp.254 - 262

Received: 07 Apr 2014
Accepted: 11 Sep 2014
Published online: 06 May 2016 *

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