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Author:Anderson, E. G. Jr.
Title:The Nonstationary Staff-Planning Problem with Business Cycle and Learning Effects
Journal:Management Science
2001 : JUN, VOL. 47:6, p. 817-832
Index terms:STAFFING
LEARNING
KNOWLEDGE MANAGEMENT
PRODUCT DEVELOPMENT
STOCHASTIC PROGRAMMING
DYNAMIC PROGRAMMING
Language:eng
Abstract:This paper develops an optimal staffing policy at the strategic level to cope with nonstationary stochastic demand for a staff characterized by unproductive apprentice employees and fully productive experienced employees. The paper then explores the implications of this policy in different industries, using empirical data. This paper's primary results include: (1) demand volatility reduces average productivity; (2) there is a trade-off between meeting demand and high productivity; (3) firms with longer business cycles should smooth their hiring and firing policies; and (4) firms in industries with longer training times should smooth their hiring and firing policies. The paper also explores the possible rewards from reducing training times and turnover rates.
SCIMA record nr: 231055
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