A successive convex approximation method for multistage workforce capacity planning problem with turnover |
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Authors: | Haiqing Song Huei-Chuen Huang |
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Affiliation: | 1. Department of Industrial and Systems Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260;2. Lingnan College, Sun Yat-sen University (On Leave), Guangzhou, China 510275 |
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Abstract: | Workforce capacity planning in human resource management is a critical and essential component of the services supply chain management. In this paper, we consider the planning problem of transferring, hiring, or firing employees among different departments or branches of an organization under an environment of uncertain workforce demands and turnover, with the objective of minimizing the expected cost over a finite planning horizon. We model the problem as a multistage stochastic program and propose a successive convex approximation method which solves the problem in stages and iteratively. An advantage of the method is that it can handle problems of large size where normally solving the problems by equivalent deterministic linear programs is considered to be computationally infeasible. Numerical experiments indicate that solutions obtained by the proposed method have expected costs near optimal. |
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Keywords: | Multistage workforce capacity planning Multistage stochastic programming Successive convex approximation method |
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