Abstract
This study develops a framework for effectively implementing service Six Sigma projects. The framework is composed of four phases: (1) initial project identification, which deploys candidate projects in accordance with a firm’s strategic goals, (2) project value assessment, which evaluates project’s value based on the financial return, cost, and its impact on employee behavior, (3) project complexity assessment, which examines scope, data availability, and risk associated with the project, and (4) project prioritization, which identifies Six Sigma projects and categorizes them into black belt and green belt categories. Two cases in banking and health care services are discussed to demonstrate the proposed framework.
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References
Adachi W, Lodolce AE (2005) Use of failure mode and effects analysis in improving the safety of i.v. drug administration. Am J Health Syst Pharm 62(9):917–920
Adams CW, Gupta P, Wilson CE (2003) Six Sigma deployment. Elsevier, Amsterdam
Antony J (2004a) Six Sigma in the UK service organizations: results from a pilot survey. Manag Audit J 19(8):1006–1013
Antony J (2004b) Some pros and cons of Six Sigma: an academic perspective. TQM Mag 16(4):303–306
Antony J (2006) Six sigma for service processes. Bus Process Manag J 12(2):234–248
Antony J, Antony FJ, Kumar M (2007) Six sigma in service organisations: benefits, challenges and difficulties, common myths, empirical observations and success factors. Int J Qual Reliab Manag 24(3):294–311
Baird K, Perera S, Meng TT (2008) Managers’ propensity to take risk in project selection decisions: the effect of payoff magnitude. Australasian Acc Bus Financ J 2(4):53–69
Beaver R (2004) Six Sigma success in health care. Quality Digest, March 1–4. http://www.qualitydigest.com/past2004.shtml. Accessed February 2010
Benedetto AR (2003) Adapting manufacturing-based Six Sigma methodology to the service environment of a radiology film library. J Healthcare Manag 48(4):263–280
Biolos J (2002) Six Sigma meets service economy. Harvard Manag Update 7:3–5
Bisgaard S, Freiesleben J (2004) Six Sigma and the bottom line. Qual Prog 37(9):57–62
Byrne G, Lubowe D, Blitz A (2007) Using a lean six sigma approach to drive innovation. Strat Lead 35(2):5–10
Chakrabarty A, Tan KC (2007) The current state of Six Sigma application in services. Manag Serv Qual 17(2):194–208
Chakrabarty A, Tan KC (2008) Case study analysis of Six Sigma in Singapore service organization. In: International conference on service systems and service management, pp 1–6
Cho I, Park H, Choi J (2011) The impact of diversity of innovation channels on innovation performance in service firms. Serv Bus 5:277–294
Corn JB (2009) Six Sigma in health care. Radiol Technol 81:92–95
Daniels H, Noordhuis H (2005) Project selection based on intellectual capital scorecards. Intell Syst Acc Finance Manag 13(1):27–32
Deming WE (1986) Out of the crisis. MIT Press, Cambridge
Does R, Heuvel E, Mast J, Bisgaard S (2002) Comparing nonmanufacturing with traditional applications of Six Sigma. Qual Eng 15(1):177–182
Drenckpohl D, Bowers L, Cooper H (2007) Use of the Six Sigma methodology to reduce incidence of breast milk administration errors in the NICU. J Neonatal Nurs 26(3):161–166
Eckes G (2003) Managing Six Sigma last (and work). Ivey Bus J November/December 1–5. http://www.iveybusinessjournal.com/archives/. Accessed February 2010
Enea M, Piazza T (2004) Project selection by constrained fuzzy AHP. Fuzzy Optim Decis Mak 3(1):39–62
Feigenbaum AV (1983) Total quality control. McGraw Hill, New York
Gels DA (2005) Hoshin planning for project selection. In: Proceedings of the ASQ world conference on quality & improvement, vol 59, pp 273–278
Geum Y, Lee S, Kang D, Park Y (2011) The customisation framework for roadmapping product-service integration. Serv Bus 5:213–236
Gijo EV, Rao TS (2005) Six Sigma implementation-hurdles and more hurdles. Total Qual Manag 16(6):721–725
Goh TN (2002) A strategic assessment of Six Sigma. Qual Reliab Eng Int 18:403–410
Goh TN, Xie M (2004) Improving on the Six Sigma paradigm. TQM Mag 16(4):235–240
Gowen CR III, Stock GN, Mcfadden KL (2008) Simultaneous implementation of Six Sigma and knowledge management in hospitals. Int J Prod Res 46(23):6781–6795
Grant D, Mergen AE (2009) Towards the use of Six Sigma in software development. Total Qual Manag Bus Excell 20(7):705–712
Gras JM, Philippe M (2007) Application of the Six Sigma concept in clinical laboratories: a review. Clin Chem Lab Med 45(6):789–796
Hayen RL (2008) Six Sigma information systems: a payroll application. Inform Syst 9(2):479–488
Heckl D, Moormann J, Rosemann M (2010) Uptake and success factors of Six Sigma in the financial services industry. Bus Proc Manag J 16(3):436–472
Hensley RL, Dobie K (2005) Assessing readiness for Six Sigma in a service setting. Manag Serv Qual 15(1):82–101
Hoerl R, Snee RD (2002) Statistical thinking: improving business performance. Duxbury Press, Pacific Grove
Holtz R, Campbell P (2004) Six Sigma: its implementation in Ford’s facility management and maintenance functions. J Facil Manag 2(4):320–329
Ishikawa K (1985) What is total quality control? The Japanese way. Prentice-Hall, Englewood Cliffs
Jenicke LO, Kumar A, Holmes MC (2008) A framework for applying Six Sigma improvement methodology in an academic environment. TQM J 20(5):453–462
Jenkins J (2006) Survivorship: finding a new balance. Semin Oncol Nurs 22(2):117–125
Jiantong Z, Wenchi L (2007) A study on implementing Six-Sigma in banking service. In: International conference on wireless communications, networking and mobile computing, pp 3251–3254
Johnstone PAS, Hendrickson JAW, Dernbach AJ, Secord AR, Parker JC, Favata MA, Puckett ML (2003) Ancillary services in the health care industry: is Six Sigma reasonable? Qual Manag Health Care 12(1):53–63
Jones MH (2004) Six Sigma: At a bank? ASQ Six Sigma Forum Mag 3(2):13–17
Krupar J (2003) Yes, Six Sigma can work for financial institutions. ABA Banking J 95:93–94
Kulak O, Kahraman C, Öztaysi B, Tanyas M (2005) Multi-attribute information technology project selection using fuzzy axiomatic design. J Enterp Inf Manag 18(3):275–288
Kumar UD, Nowicki D, Ramirez-Marquez JR, Verma D (2007) On the optimal selection of process alternatives in a Six Sigma implementation. Int J Prod Econ 111:456–467
Kwak YH, Anbari FT (2006) Benefits, obstacles and future of Six Sigma approach. Technovation 26(5–6):708–715
Lanser EG (2000) Effective use of performance indicators. Healthcare Executive. September/October, 46–47
Larson EW, Gray CF (2011) Project management: the managerial process. McGraw Hill, New York
Lefley F (2006) Can a project champion bias project selection and, if so, how can we avoid it? Manag Res News 29(4):174–183
Matheson D, Matheson JE (1998) The smart organization: creating value through strategic R&D. Harvard Business School Press, Boston
Nakhai B, Neves JS (2009) The challenges of Six Sigma in improving service quality. Int J Qual Reliab Manag 26(7):663–684
Nourse L, Hays P (2004) Fidelity wide processing wins team excellence award competition. J Qual Particip 27(2):42–48
Operation Management Roundtable (2002) Six Sigma applications in non-production focused environments. Decision Support Memorandum
Printezis A, Gopalakrishnan M (2007) Current pulse: can a production system reduce medical errors in health care? Qual Manag Health Care 16(3):226–238
Raisinghani MS (2005) Six Sigma: concepts, tools and applications. Ind Manag Data Syst 105(4):491–505
Rucker R (2000) Citibank increases customer loyalty with defect-free processes. J Qual Particip 23(Fall):32–36
Saaty TL, Peniwati K (2008) Group decision making: drawing out and reconciling differences. RWS Publications, Pittsburgh
Schroeder RG, Linderman K, Liedtke C, Choo AS (2008) Six Sigma: definition and underlying theory. J Oper Manag 26:536–554
Sehwail L, DeYong C (2003) Six Sigma in health care. Int J Health Care Qual Assur 16(6):1–5
Smith K (2003) Six Sigma for the service sector. http://www.qualitydigest.com/past2003.shtml. Accessed February 2010
Snee RD (2002) Dealing with the Achilles’ heel of Six Sigma initiatives—project selection is key to success. Qual Prog 34(3):66–69
Stewart R, Mohamed S (2002) IT/IS projects selection using multi-criteria utility theory. Logist Inform Manag 15(4):254–270
Su CT, Chou CJ (2008) A systematic methodology for the creation of Six Sigma projects: a case study of semiconductor foundry. Expert Syst Appl 34:2693–2703
Taghaboni-Dutta F, Moreland K (2004) Using Six Sigma to improve loan portfolio performance. J Am Acad Bus 5(1/2):15–20
Thomerson LD (2001) Journey for excellence: Kentucky’s Commonwealth Corporation adopts Six Sigma approach. Ann Qual Congr Proc 55:152–158
Tjahjono B, Ball P, Vitanov VI, Scorzafave C, Nogueira J, Calleja J, Minguet M, Narasimha L, Rivas A, Srivastava A, Srivastava S, Yadav A (2010) Six Sigma: a literature review. Int J Lean Six Sigma 1(3):216–233
Uprety I (2009) Six Sigma in banking services: a case study based approach. Int J Six Sigma Compet Advant 5(3):251–271
Utecht KM, Jenicke LO (2009) Increasing calculation consistency and reducing calculation time using Six Sigma: a case study of salary determination in an institution of higher education. Int J Serv Stand 5(2):115–134
Wyper B, Harrison A (2000) Deployment of Six Sigma methodology in human resource function: a case study. Total Qual Manag 11(4–5):S720–S727
Yang CC, Chen BS (2003) A MCDM approach for Six Sigma project selection. In: The 2003 conference of knowledge & value management, pp 275–282
Yang T, Hsieh CH (2009) Six-sigma project selection using national quality award criteria and Delphi fuzzy multiple decision-making method. Expert Syst Appl 36:7594–7603
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The authors acknowledge and are grateful for the research assistance of Fang-Yi Lin in data analysis.
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Appendix: measurement items: criteria (tools)
Appendix: measurement items: criteria (tools)
1.1 Project value assessment
1.1.1 Financial return (consensus method)
How much financial return including hard and soft savings will the project generate in million NT dollars?
1.1.2 Cost (consensus method)
What is the total incurred cost (e.g., direct cost, direct project overhead cost, general and administrative overhead cost, etc.) for the project in million NT dollars?
1.1.3 Employee behavior (AHP)
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(1)
Which project is more influential to promoting employee behavior?
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(2)
How strongly based on the 1–9 scale (i.e., 1: equally important; 9: extremely much more important)?
1.2 Project complexity assessment
1.2.1 Scope (AHP)
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(1)
Which project has larger scope (e.g., objective, deliverables, etc.)?
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(2)
How much larger based on the 1–9 scale (i.e., 1: equally large; 9: extremely larger)?
1.2.2 Data availability (AHP)
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(1)
Which project has more data available?
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(2)
How much more available based on the 1–9 scale (i.e., 1: equally available; 9: extremely more available)?
1.2.3 Risk (FMEA)
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(1)
Rate the impact of the risk associated with the project based on the 5-point Likert-type scale (1: lowest; 5: highest).
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(2)
Rate the occurrence of the risk based on the 5-point Likert-type scale (1: least likelihood; 5: highest likelihood).
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(3)
Rate the detection of the risk based on the 5-point Likert-type scale (1: most likely to detect in advance; 5: least likely to detect in advance).
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Hsieh, YJ., Huang, LY. & Wang, CT. A framework for the selection of Six Sigma projects in services: case studies of banking and health care services in Taiwan. Serv Bus 6, 243–264 (2012). https://doi.org/10.1007/s11628-012-0134-1
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DOI: https://doi.org/10.1007/s11628-012-0134-1