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Optimal staffing for cyclically scheduled processes

delete1997-12-01
delete9
PRE
AI
J
Jeffery K. Cochran *
C
Chu, DE
C
Chu, MD
DOI：10.1080/002075497194147delete
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Abstract

Abstract

En 中文
Staffing across multiple time periods with uneven demand is a common problem in many organizations. There are many models for optimal cyclic personnel scheduling, but none of these incorporates the optimal number-of-workers problem or the optimal staff-skills-composition problem. In this paper, we introduce a variation on cyclic scheduling that incorporates discrete-event simulation and specialized data collection for a staffing plan as part of a general methodology. The result is a four-step approach based on a stochastic optimization model for scheduling and staffing an organization. We illustrate this approach with a semiconductor manufacturing case study.
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Journal

International Journal of Production Research cover
International Journal of Production Research
IF:
7.3
Papers:
1.1W
Citations:
3.7W

Organization

No organization information available