고객지원 센터의 최적 인력 일정계획 수립 모델 개발에 대한 사례연구

Case Study : Development of Customer Support Center Staffing Model

  • 유우연 (명지대학교 산업시스템 공학부) ;
  • 김희동 (삼성전자) ;
  • 양재경 (전북대학교 산업정보시스템 공학과)
  • Yu, Woo-Yeon (Department of Industrial and Systems Engineering, Myong Ji University) ;
  • Kim, Hee-Dong (LCD Business, Samsung Electronics) ;
  • Yang, Jaek-Yung (Department of Industrial and Information Systems Engineering, Chonbuk National University)
  • 투고 : 2004.07.16
  • 심사 : 2005.06.10
  • 발행 : 2005.09.30

초록

Staff scheduling is an important area, both from an academic and industrial point of view. It has become increasingly important as business becomes more service oriented and cost conscious in a global environment. There has been a lot of study to develop new and efficient staff scheduling models and methods. The purpose of this paper is not to develop new theoretical results but to develop a comprehensive user-friendly staffing model that can be applied to the real-world practice. The developed staffing software, OptStaff, provides the optimal configuration of the customer support center including the selection of customer support center locations, the allocation of staffs to each selected location, and schedules of staffs, so as to minimize the total cost while maximizing the customer satisfaction level. OptStaff also has capability to do scenario analysis by varying the levels of parameters and to create a variety of graphs and reports with user-friendly interfaces.

키워드

참고문헌

  1. Aggarwal, S. (1982), A focused review of scheduling in services, European Journal of Operational Research, 9(2),114-121 https://doi.org/10.1016/0377-2217(82)90063-7
  2. Arabeyre,J., Fearnley,J., Steiger, F. and Teather, W. (1969), The airline crew scheduling problem: A survey, Transportation Science, 3, 140-163 https://doi.org/10.1287/trsc.3.2.140
  3. Bechtold, S., Brusco, M., and Showalter M. (1991), A comparative evaluation of labar tour scheduling methods, Decision Sciences, 22, 683-699 https://doi.org/10.1111/j.1540-5915.1991.tb00359.x
  4. Bodin, L., Golden, B., Assad, A. and Ball, M. (1983), Routing and scheduling of vehicles and crews. the state of the art, Computers and Operations Research, 10(2),63-211 https://doi.org/10.1016/0305-0548(83)90030-8
  5. Bradley, D. and Martin,J. (1991), Continuous personnel scheduling algorithms: A literature review, Journal of the Society for Health Systems, 2, 2-8
  6. Caprara, Alberto, Monaci, Michele, and .쌔소, Paolo (2003), Models and algorithms for a staff scheduling problem, Math. Program., 98, 445-476 https://doi.org/10.1007/s10107-003-0413-7
  7. Ernst, A. T., Jiang, H., Krishnarnoorthy, M., and Sier, D. (2004), Staff scheduling and rostering: A review of applications, methods and models, European Journal of Operational Research, 153,3-27 https://doi.org/10.1016/S0377-2217(03)00095-X
  8. Eveborn, P. and Ronnqvist, M. (2004), Scheduler - A system for staff planning, Annals of Operations Research, 128, 21-45 https://doi.org/10.1023/B:ANOR.0000019097.93634.07
  9. Gamache, M. and Soumis F. (1998), A method for optimally solving the rostering problem, in: G. Yu (Ed.), OR in Airline Industry, Kluwer Academic Publishers, Boston, 124-157
  10. Jagerman, D. L. and Melamed, B. (2003), Models and approximations for call center design, Methodology and Computing in Applied Probability, 5, 159-181 https://doi.org/10.1023/A:1024501601020
  11. Mehrotra, V., Ringing up big business, OR/MS Today, 1997
  12. Morton, E. T. and Pentico, W. D. (1993), Heuristic Scheduling Systems, John Wiley & Sons, New York
  13. Nash, G. S. and Sofer, A. (996), Linear and Nonlinear Programming, The McGraw-Hill Companies
  14. Sirornpul, D. and Radhawa, S. (1990), Nurse scheduling: A stateof-the-art review, Journal of the Society for Health Systems, 262-72
  15. Tien,J. and Kamiyama, A. (1982), On manpower scheduling algorithms, SIAM Review, 24(3), 275-287 https://doi.org/10.1137/1024063
  16. Wolsey, A. L. (998), Integer Programming, John Wiley & Sons, New York