TY - GEN
T1 - Line scheduling optimization in low-volume high-mix flow shop assembly - A case study using genetic algorithm-based discrete-event simulation
AU - Ma, Gang
AU - Møller, Charles
PY - 2022/7/3
Y1 - 2022/7/3
N2 - 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.
AB - 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.
KW - Line scheduling optimization
KW - Low-volume high-mix production
KW - Discrete event simulation
M3 - Article in proceeding
BT - EurOMA Conference Proceedings
ER -