期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 56, 期 4, 页码 1553-1558出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2008.10.002
关键词
Scheduling; Learning effect; Single-machine; Flowshop
资金
- NSC of Taiwan, ROC [NSC 97-2221-E-035-070]
Learning effects in scheduling problems have received growing attention recently. Biskup [Biskup, D. (2008). A state-of-the-art review on scheduling with learning effect. European journal of Operational Research, 188, 315-329] classified the learning effect scheduling models into two diverse approaches. The position-based learning model seems to be a realistic assumption for the case that the actual processing of the job is mainly machine driven, while the sum-of-processing-time-based learning model takes into account the experience the workers gain from producing the jobs. in this paper, we propose a learning model which considers both the machine and human learning effects simultaneously. We first show that the position-based learning and the sum-of-processing-time-based learning models in the literature are special cases of the proposed model. Moreover, we present the solution procedures for some single-machine and some flowshop problems. (C) 2008 Elsevier Ltd. All rights reserved.
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