Staffing decisions for heterogeneous workers with turnover

Hyun-Soo Ahn (), Rhonda Righter () and Jevaveerasingam Shanthikumar

Mathematical Methods of Operations Research, 2005, vol. 62, issue 3, 499-514

Abstract: In this paper we consider a firm that employs heterogeneous workers to meet demand for its product or service. Workers differ in their skills, speed, and/or quality, and they randomly leave, or turn over. Each period the firm must decide how many workers of each type to hire or fire in order to meet randomly changing demand forecasts at minimal expense. When the number of workers of each type can by continuously varied, the operational cost is jointly convex in the number of workers of each type, hiring and firing costs are linear, and a random fraction of workers of each type leave in each period, the optimal policy has a simple hire- up-to/fire-down-to structure. However, under the more realistic assumption that the number of workers of each type is discrete, the optimal policy is much more difficult to characterize, and depends on the particular notion of discrete convexity used for the cost function. We explore several different notions of discrete convexity and their impact on structural results for the optimal policy. Copyright Springer-Verlag 2005

Keywords: optimal staffing; discrete optimization; dynamic programming; multimodularity (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (8)

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DOI: 10.1007/s00186-005-0033-5

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