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A HYBRID HEURISTIC ALGORITHM FOR INTEGRATED PROBLEM OF MACHINE SCHEDULING AND UNIDIRECTIONAL FLOW PATH DESIGN

Authors
Zheng, YanXiao, YujieSeo, Yoonho
Issue Date
2015
Publisher
UNIV CINCINNATI INDUSTRIAL ENGINEERING
Keywords
integrated problem; flow path design; machine scheduling; flexible process plans; particle swarm optimization
Citation
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, v.22, no.6, pp.717 - 728
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
Volume
22
Number
6
Start Page
717
End Page
728
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/96312
ISSN
1072-4761
Abstract
During the past few decades, unidirectional flow path design (UFD) and machines scheduling (MS) problems have been well-studied separately. However, only considering UFD or MS cannot guarantee the global optimal solution for the whole production. The reason is that UFD and MS are two correlated issues in the real production situation. This paper is to propose a new integrated model, called iUFD/MS, with the objective of minimizing makespan. In iUFD/MS, UFD and MS problems are simultaneously considered. Due to the high complexity of iUFD/MS, a hybrid heuristic algorithm based on the particle swarm optimization is developed to get an optimal or near-optimal solution within a reasonable time period. To validate our integrated model, a set of experiments is solved by applying the proposed solution method and the traditional method, respectively. The result shows that our integrated model can efficiently reduce makespan by 8.9% on average.
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