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.
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 *