Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 87, Issue -, Pages 317-327Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2015.05.005
Keywords
Quality; Learning-forgetting; Fatigue-recovery; Flexibility; Transfer policy; Human error
Funding
- Social Sciences and Humanities Research Council of Canada (SSHRC), Canada
- Natural Sciences and Engineering Research Council of Canada (NSERC), Canada
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This paper studies the effects of some human characteristics on production planning in a Dual-Resource Constrained (DRC) system and the quality of products. Human behavior is captured by the learning-for getting-fatigue-recovery model (LFFRM). The production process is modeled through a Quality Learning Curve (QLC) model while the quality deficits are the result of human error and machine malfunction. The system performance is presented with a twofold cost function considering direct (time) and indirect (quality) costs. The results indicate that the system performance is concave over a production run, which represents the optimum flexibility level, transfer policy, and the workstation configuration. (C) 2015 Elsevier Ltd. All rights reserved.
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