한국시뮬레이션학회논문지 (Journal of the Korea Society for Simulation)

한국시뮬레이션학회 (The Korea Society for Simulation)
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시뮬레이션을 활용한 옴니채널 컨택센터의 상담사 배치 최적화 연구

A Study on the Omni-Channel Contact Center Agent Staffing Optimization Using Simulation

  • 류기동 ((주)이씨에스텔레콤 통신기술연구소) ;
  • 장성용 (서울과학기술대학교 글로벌융합산업공학과(산업정보시스템공학)) ;
  • 김우제
  • 투고 : 2018.03.26
  • 심사 : 2018.06.11
  • 발행 : 2018.06.30
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초록

기업의 고객 접점으로 중요한 역할을 하는 콜센터는 최근 고객 접근성과 편의성을 향상하기 위해서 전화 외에 다양한 접근채널을 지원하는 옴니채널 컨택센터로 변화하고 있다. 다양한 채널을 지원하는 옴니채널 컨택센터는 채널별로 상담사를 운영하고 있다. 상담사 배치에 따라 채널별 응대율, 대기시간과 같은 옴니채널 컨택센터의 성과가 결정되기 때문에 채널별 상담사 배치는 중요하다. 기존 전화 콜센터의 경우 전화 상담의 특성에 맞게 상담사를 배치하면 되었으나, 채널의 종류가 다양해지고 서로 다른 성격을 가진 채널들을 동시에 처리해야 하는 옴니채널 컨택센터의 경우 전화 상담을 기반으로 한 기존의 상담사 배치 전략만으로는 효과적인 상담사 운영이 어렵다. 이에 본 연구는 전화 외에 이메일, 채팅, 영상상담을 수용하는 옴니채널 컨택센터를 시뮬레이션하기 위한 모델을 개발하고, 시뮬레이션을 통해 상담원 배치 최적화 방안에 대해 연구하였다.

Recently, the traditional call center, which has an important role as the customer's primary contact point, has been transformed into the omni-channel contact center which supports an additional variety of access channels in addition to phone calls in order to improve customer accessibility and convenience. The omni-channel contact center has agents on each channel which are vital in determining the response rate and waiting time for the customer. In traditional call centers, agents can be assigned to a call based on the characteristics of the call, however in omni-channel contact centers, the characteristics of issues vary and come in through multiple channels, each with their own characteristics, making it difficult to assign the appropriate agent for the issue. Customers must also be processed at the same time, adding an additional layer of complexity to the issue. This paper analyzes and simulates an omni-channel contact center that accommodates email, chat, voice calls and video consultation, and investigates how to optimize the allocation of agents.

키워드

참고문헌

  1. Sue, S., Fjermestad, J., and Romano Jr, N. C., "E-relationship marketing: changes in traditional marketing as an outcome of electronic customer relationship management.", Journal of Enterprise Information Management, Vol. 17, No. 6, pp. 410-415, 2004. https://doi.org/10.1108/17410390410566698
  2. McNair, A.(Ed), "Dimension Data's 2016 Golobal Contact Centre Bechmarking Report", Dimension Data, 2016.
  3. Cao, L., and Li, L., "The Impact of Cross-Channel Integration on Retailers' Sales Growth", Journal of Retailing, Vol. 91, No. 2, pp. 198-216, 2015.
  4. Kotler, P., Kartajaya, H., and Setiawan, I., "Marketing 4.0: Moving from traditional to digital", John Wiley & Sons, 2016.
  5. David, R., Bell, S. G., and Antonio, M., "How to Win in an Omnichannel World", MIT Sloan Management Review, Vol. 56, No. 1, pp. 44-53, 2014.
  6. Son, J. Y., Kang, I. W., "A Study on the Applicability of Omni-Channel Service", The e-Business Studies, Vol. 18, No. 5, pp. 19-35, 2017.
  7. Gong, Y. B., "Design Omni Channel Engagement Center", Contact Journal, Vol. 196, No. 7, pp. 34-36, 2016.
  8. Kim, S. Y., "Report of Contact & communication channels using survey - consumer culture trends (showrooming, reverse showrooming ) and channel management strategy", Contact Journal, Vol. 185, No. 8, pp. 24-27, 2015.
  9. Kim, I. H., Gi, J. S., Park, K. H., Ahn, J. H., and Seo, Y. H., "A Study on the Improvement of Consulting Service for the Changing Environment of ICT, such as smartphones", Ministry of Employment and Labor, Korea, pp. 29-30, 2010.
  10. Kim, S. M., Nah, J. E., and Kim, S., "The Staffing Problem at the Call Center by Optimization and Simulation", IE interfaces, Vol. 24, No. 1, pp. 40-50, 2011. https://doi.org/10.7232/IEIF.2011.24.1.040
  11. Brown, L., Gans, N., Mandelbaum, A., Sakov, A., Shen, H., Zeltyn, S., and Zhao, L., "Statistical Analysis of a Telephone Call Center : A Queueing- Science Perspective", Journal of the American Statistical Association, Vol. 100, No. 469, pp. 36-50, 2005. https://doi.org/10.1198/016214504000001808
  12. \Atlason, J., Epelman, M. A., and Henderson, S. G., "Optimizing Call Center Staffing Using Simulation and Analytic Center Cutting-Plane Methods", Management Science, Vol. 54, No. 2, pp. 295-309, 2008. https://doi.org/10.1287/mnsc.1070.0774
  13. Yun, Y. S., "Efficient Operation Plan of Bank Tellers and ATMs Considering Waiting Time of Customers", Review of business & economics, Vol. 26, No. 5, pp. 2253-2273, 2013.
  14. Kim. Y. B., Lee, C. H., Kim, J. B., Lee, K. S., and Lee, B. C., "Enhancing the Performance of Call Center using Simulation", Journal of the Korea Society for Simulation, Vol. 12, No. 4, pp. 83-94, 2004.
  15. Choi, S. G., and Lee, C. L., "A study for improving passenger service level at the airport security checks by using simulation", Journal of the Korea Society of Computer and Information, Vol. 18, No. 3, pp. 59-68, 2013. https://doi.org/10.9708/jksci.2013.18.3.059
  16. Rossetti, M. D., "Simulation modeling and Arena", John Wiley & Sons, 2015.
  17. Gu, S. H., Noh, S. M., and Jang, S. Y., "A Study on Improvement of the Logistic System in Social Commerce using Simulation", Journal of the Korea Society for Simulation, Vol. 22, No. 3, pp. 43-53, 2013. https://doi.org/10.9709/JKSS.2013.22.3.043
  18. Cheong, K. J., Kim, J. J., Ryu, I., So, S. H., and Park, D., "A Study on the Factors Affecting the Performance of Call Center", The Journal of Information Strategy, 2004.
  19. Anton J., Monger J., and Perkins D. S, " CallCenter Management By the Numbers", Purdue University Press., 1997.
  20. Hwang, K. M.(Ed), "Listen to the field officer, a small question on the website", Contact Journal, Vol. 216, No. 3, pp. 10-13, 2018.