Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (1): 20-25.DOI: 10.12068/j.issn.1005-3026.2018.01.005

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Robust Program Model of Human Resource Management for Staffing Call Centers

GONG Jun1, JIA Qian-qian1, ZHANG Jia-sheng2, YU Miao3   

  1. 1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China; 2. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; 3. School of Management, Shenyang Jianzhu University, Shenyang 110168, China.
  • Received:2016-08-02 Revised:2016-08-02 Online:2018-01-15 Published:2018-01-31
  • Contact: YU Miao
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Abstract: Considering the problem that the arrival rates of call centers are uncertain, a discrete fluid model was built based on queuing theory, and the human resource allocation problem of staffing call centers was solved with the robustness. The set of uncertain arrival rate was formulated by using interval data, and by adjusting the robust optimization method of adjustable robust parameters to solve the staffing problem, the relationship between robust optimization model and deterministic optimization model was analyzed. Numerical experiments show that, using the robust optimization method with adjustable robust parameters can reduce the impact of random arrival rates on call centers; with the increasing of arrival rates, the corresponding optimal robust parameter will be increased, and the model is more conservative.

Key words: call center, human resource allocation, robust optimization, uncertain arrival, fluid model

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