DOI QR코드

DOI QR Code

Evaluation Model of Service Reliability Using a Service Blueprint and FTA

서비스 블루프린트와 FTA를 이용한 서비스 신뢰도 평가모델

  • Yoo, Jung-Sang (Department of Industrial and Management Engineering, Gachon University) ;
  • Oh, Hyung-Sool (Department of Industrial and Management Engineering, Kangwon National University)
  • 유정상 (가천대학교 공과대학 산업경영공학과) ;
  • 오형술 (강원대학교 공학대학 산업경영공학과)
  • Received : 2012.11.29
  • Published : 2012.12.31

Abstract

Because the difference between products and services are getting less and less, service and manufacturing companies' efforts are increasingly focused on utilizing services to satisfy customers' needs under today's competitive market environment. The value of services depends on service reliability that is identified by satisfaction derived from the relationship between customer needs and service providers. In this paper, we extend concepts from the fault tree analysis for reliability analysis of tangible systems to services. We use an event-based process model to facilitate service design and represent the relationships between functions and failures in a service. The objective of this research is to propose a method for evaluating service reliability based on service processes using service blueprint and FTA. We can identify the failure mode of service in a service delivery process with a service blueprint. The fuzzy membership function is used to characterize the probability of failure based on linguistic terms. FTA is employed to estimate the reliability of service delivery processes with risk factors that are represented as potential failure causes. To demonstrate implementation of the proposed method, we use a case study involving a typical automotive service operation.

Keywords

References

  1. Ben-Daya, M. and Raouf, A., A revised failure mode and effects analysis model. International Journal of Quality Reliability and Management, 1993, Vol. 3, No. 1, p 43-47.
  2. Bowles, J.B. and Pelaez, C.E., Fuzzy logic prioritization of failures in a system failure model, effects and criticality analysis. Reliability Engineering and System Safety, 1995, Vol. 50, p 203-213. https://doi.org/10.1016/0951-8320(95)00068-D
  3. Chang, C.L., Wei, C.C., and Lee, Y.H., Failure mode and effects analysis using fuzzy method and grey theory. Kybernetes, 1999, Vol. 28, No. 9, p 1072-1080. https://doi.org/10.1108/03684929910300295
  4. Chase R.B. and Stewart D.M., Make your service fail-safe. Sloan Management Review, 1994, p 35-44.
  5. Chen, C.B. and Klien, C.M., A simple approach to ranking a group of aggregated fuzzy utilities. IEEE Transaction System, Man and Cybernetics, Part B : Cybernet, 1997, Vol. 27, No. 1, p 26-35. https://doi.org/10.1109/3477.552183
  6. Chen, L.H. and Ko, W.C., Fuzzy linear programming models for new product design using QFD with FMEA. Applied Mathematical Modeling, 2009, Vol. 33, p 633- 647. https://doi.org/10.1016/j.apm.2007.11.029
  7. Chin, K.S., Chan, A., and Yang, J.B., Development of a fuzzy FMEA based product design system. International Journal of Advanced Manufacturing Technology, 2008, Vol. 36, p 633-649. https://doi.org/10.1007/s00170-006-0898-3
  8. Chu, L.K., Chu, S.S., and Sculli, D., Service availability of a radio access telecommunications network. Quality and Reliability Engineering International, 1998, Vol. 14, p 365-370. https://doi.org/10.1002/(SICI)1099-1638(199809/10)14:5<365::AID-QRE210>3.0.CO;2-J
  9. Cook, L.S., Bowen D.E., Chase, R.B., Dasu, S., Stewart, D.M., and Tansik, D.A., Human issues in service design. Journal of Operations Management, 2002, Vol. 20, p 159-174. https://doi.org/10.1016/S0272-6963(01)00094-8
  10. Daneshmand, M. and Savolaine, C., Measuring outages in telecommunications switched networks. IEEE Communications Magazine, 1993, p 34-30.
  11. Deng, J., Control problems of grey systems. System Control Letter, 1982, Vol. 1, No. 5, p 288-294. https://doi.org/10.1016/S0167-6911(82)80025-X
  12. Geum, Y., Seol, H., Lee, S., and Park, Y., Application of fault tree analysis to the service process : service tree analysis approach. Journal of Service Management, 2009, Vol. 20, No. 4, p 433-454. https://doi.org/10.1108/09564230910978520
  13. Gilchrist, W., Modeling failure modes and effects analysis, International Journal of Quality Reliability and Management, 1993, Vol. 10, No. 5, p 1-24.
  14. Glossbrenner, K.C., Availability and reliability of switched services. IEEE Communications Magazine, 1993, p 28-32.
  15. Lee, K.W., Tillman, F.A., and Higgins, J.J., A literature survey of the human reliability component in a manmachine system. IEEE Transactions on Reliability, 1988, Vol. 37, No. 1, p 24-34. https://doi.org/10.1109/24.3708
  16. Levy, Y. and Wirth, P., A unifying approach to performance and reliability objectives. Proc. 12th International Tele traffic Congress, 1988.
  17. Liang, G.S. and Wang, M.J., Evaluating human reliability using fuzzy relation. Micro electron Reliability, 1993, Vol. 33, No. 1, p 63-80. https://doi.org/10.1016/0026-2714(93)90046-2
  18. Mustafa, G. and Ipek, D., Reliability of service systems and an application in student office. The International Journal of Quality and Reliability Management, 2002, Vol. 19, No. 2, p 206-211. https://doi.org/10.1108/02656710210413525
  19. Onisawa, T., A representation of human reliability using fuzzy concepts. Information Sciences, 1988, Vol. 45, p 153-173. https://doi.org/10.1016/0020-0255(88)90038-2
  20. Parasuraman, A., Zeithaml, V.A., and Berry, L.L., SERVQUAL : a multiple item scale for measuring consumer perceptions of service quality. Journal of Retailing, 1988, Vol. 64, No. 1, p 12-40.
  21. Parasuraman, A., Berry, L.L., and Zeithaml, V.A., Understanding customer expectations of service. Sloan Management Review, 1991, p 39-48.
  22. Pillay, A. and Wang, J., Modified failure mode and effects analysis using approximate reasoning. Reliability Engineering and System Safety, 2003, Vol. 79, p 69-85. https://doi.org/10.1016/S0951-8320(02)00179-5
  23. Shostack, G.L., Designing services that deliver. Harvard Business Review, 1984, p 133-139.
  24. Singer, D., A fuzzy set approach to fault tree and reliability analysis. Fuzzy Sets and Systems, 1990, Vol. 34, p 145-155. https://doi.org/10.1016/0165-0114(90)90154-X
  25. Sivadas, E. and Baker-Prewitt, J.L., An examination of the relationship between service quality, customer satisfaction, and store loyalty, International Journal of Retail and Distribution, 2000, Vol. 28, No. 2, p 73-82. https://doi.org/10.1108/09590550010315223
  26. Strawderman, L. and Koubek, R., Human factors and usability in service quality measurement. Human Factors and Ergonomics in Manufacturing, 2008, Vol. 18, No. 4, p 454-463. https://doi.org/10.1002/hfm.20102
  27. Swain, A.D., Human reliability analysis : needs, status, trends and limitations. Reliability Engineering and System Safety, 1990, Vol. 29, p 301-313. https://doi.org/10.1016/0951-8320(90)90013-D
  28. Teng, S.H. and Ho, S.Y., Failure mode and effects analysis : an integrated approach for product design and process control. International Journal of Quality, Reliability and Management, 1996, Vol. 13, No. 5, p 8-26. https://doi.org/10.1108/02656719610118151
  29. Vanderhaegen, F., A non-probabilistic prospective and retrospective human reliability analysis method-application to railway system. Reliability Engineering and System Safety, 2001, Vol. 71, p 1-13. https://doi.org/10.1016/S0951-8320(00)00060-0
  30. Xu, K., Tang, L.C., Xie, M., Ho, S.L., and Zhu, M.L., Fuzzy assessment of FMEA for engine system. Reliability Engineering and System Safety, 2002, Vol. 75, p 17-29. https://doi.org/10.1016/S0951-8320(01)00101-6

Cited by

  1. An Object-Oriented Design Framework for Developing Product-Service Systems vol.38, pp.4, 2012, https://doi.org/10.11627/jkise.2015.38.4.168