Ean, Kate Nee Goh and Jeng, Feng Chin and Wei, Ping Loh and Chea, Ling Tan
(2014)
A Constraint Programming-based Genetic Algorithm (CPGA) for
Capacity Output Optimization.
Journal of Industrial Engineering and Management, 7 (5).
pp. 1222-1249.
ISSN 2013-8423
Abstract
Purpose: The manuscript presents an investigation into a constraint programming-based
genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing
company.
Design/methodology/approach: In the first stage, constraint programming defining the
relationships between variables was formulated into the objective function. A genetic algorithm
model was created in the second stage to optimize capacity output. Three demand scenarios
were applied to test the robustness of the proposed algorithm.
Findings: CPGA improved both the machine utilization and capacity output once the
minimum requirements of a demand scenario were fulfilled. Capacity outputs of the three
scenarios were improved by 157%, 7%, and 69%, respectively.
Research limitations/implications: The work relates to aggregate planning of machine
capacity in a single case study. The constraints and constructed scenarios were therefore
industry-specific.
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