A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization

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 v...

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Main Authors: Ean, Kate Nee Goh, Jeng, Feng Chin, Wei, Ping Loh, Chea, Ling Tan
Format: Article
Language:English
Published: OmniaScience 2014
Subjects:
Online Access:http://eprints.usm.my/37999/1/A_Constraint_programming-based_genetic_algorithm_for_capacity_output_optimization.pdf
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author Ean, Kate Nee Goh
Jeng, Feng Chin
Wei, Ping Loh
Chea, Ling Tan
author_facet Ean, Kate Nee Goh
Jeng, Feng Chin
Wei, Ping Loh
Chea, Ling Tan
author_sort Ean, Kate Nee Goh
collection USM
description 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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spelling usm.eprints-379992017-12-20T01:42:21Z http://eprints.usm.my/37999/ A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization Ean, Kate Nee Goh Jeng, Feng Chin Wei, Ping Loh Chea, Ling Tan TJ1-1570 Mechanical engineering and machinery 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. OmniaScience 2014 Article PeerReviewed application/pdf en http://eprints.usm.my/37999/1/A_Constraint_programming-based_genetic_algorithm_for_capacity_output_optimization.pdf 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 http://dx.doi.org/10.3926/jiem.1070
spellingShingle TJ1-1570 Mechanical engineering and machinery
Ean, Kate Nee Goh
Jeng, Feng Chin
Wei, Ping Loh
Chea, Ling Tan
A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
title A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
title_full A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
title_fullStr A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
title_full_unstemmed A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
title_short A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
title_sort constraint programming based genetic algorithm cpga for capacity output optimization
topic TJ1-1570 Mechanical engineering and machinery
url http://eprints.usm.my/37999/1/A_Constraint_programming-based_genetic_algorithm_for_capacity_output_optimization.pdf
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