期刊
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
卷 141, 期 2, 页码 675-684出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ijpe.2012.10.008
关键词
Related tasks; Scheduling; Individual differences; Worker performance; Learning; Forgetting
资金
- Harold and Inge Marcus Department of Industrial and Manufacturing Engineering of The Pennsylvania State University
When classical scheduling theory is applied to task sequencing problems, human characteristics are often not the primary consideration and their impact is often assumed away. In this paper, we examine the workforce scheduling problem in sequential flow line systems. We investigate the impact of within-worker and between-worker variability and discuss the selection of scheduling policies between fixed and work-sharing systems. The methodology includes human performance modeling with the objective to maximize throughput with general results with respect to productivity model. We are interested in determining and characterizing the optimal switching time between workers in work-sharing systems. A closed form solution is established in the case of two and three tasks with two workers. For a general number of workers and tasks we establish the maximum number of changes between assignments. We also establish a bound on throughput. Results allow one to solve workforce scheduling problems reduced complexity given the current set of bounds and conditions. (C) 2012 Elsevier B.V. All rights reserved.
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