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

Salman Sigari

International Journal of Industrial and Systems Engineering, 2016, vol. 23, issue 2, 254-262

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. (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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