Workforce Assignment with a Different Skill Level for Automotive Parts Assembly Lines
- Authors
- Yang, H.; Lee, J.-H.; Kim, H.-J.
- Issue Date
- 2020
- Publisher
- Springer
- Keywords
- Defect rate; Different skill level; Rework time; Workforce assignment problem
- Citation
- IFIP Advances in Information and Communication Technology, v.592 IFIP, pp 206 - 212
- Pages
- 7
- Indexed
- SCOPUS
- Journal Title
- IFIP Advances in Information and Communication Technology
- Volume
- 592 IFIP
- Start Page
- 206
- End Page
- 212
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/7006
- DOI
- 10.1007/978-3-030-57997-5_24
- ISSN
- 1868-4238
1868-422X
- Abstract
- One of the most important operational issues in an assembly line is to allocate workers to tasks (or workstations) so that their workloads can be well-balanced. We address a new workforce assignment problem in an assembly line where workers can perform all tasks but have a different skill level, which affects not only the throughput but also the number of defective products. We derive two mathematical programming models that can be used in various production environments. One is with the objective of the throughput maximization while keeping the defect rate under a given criteria and the other is for the minimization of the total rework time while achieving a given throughput. Several experiments are performed with the proposed two models by changing the number of workers and a proportion of skilled workers. We also compare the two models and provide managerial insights. © 2020, IFIP International Federation for Information Processing.
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- Appears in
Collections - Engineering > Department of Systems Management Engineering > 1. Journal Articles
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