Line scheduling optimization in low-volume high-mix flow shop assembly - A case study using genetic algorithm-based discrete-event simulation

Gang Ma, Charles Møller

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Abstract

Manufacturing companies are adapting themselves to satisfy various customers’ demands by changing their manufacturing from high-volume, low-mix (HVLM) production to low-volume, high-mix (LVHM) production. New challenges emerge, such as capacity loss due to unbalanced line caused by various processing time and long setup time caused by the frequent changeover. Production scheduling is the main driver for solving this problem. This paper aims to introduce a simulation-optimization framework by integrating discrete event simulation (DES) and genetic algorithm (GA), Palmer heuristic is used to improve the GA. An actual production model is built to validate the effectiveness of the framework.
OriginalsprogEngelsk
TitelEurOMA Conference Proceedings
StatusIkke-udgivet - 3 jul. 2022

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