A failure analysis method for designing highly reliable product-service systems

Original Paper
  • 181 Downloads

Abstract

Recently, product-service systems (PSSs), which create value by integrating a physical product and a service, have been attracting attention. In PSSs, it is critical for a provider to offer highly reliable products and services. To do so, the provider needs to effectively and efficiently detect possible failures, and then, take adequate measures against them in the conceptual design stage. However, in current studies on product failure analysis, service aspects are not covered in analyzing failure causes and developing measures. On the other hand, product aspects are hardly considered in existing methods of service failure analysis. To fill the gap, this paper proposes a method for failure analysis in PSS design called PSS failure mode and effect analysis (PSS FMEA). Especially, this paper extends the framework of FMEA, and then, a procedure for PSS FMEA is introduced so that designers can analyze failures and develop measures in consideration of both product and service aspects. Furthermore, the proposed method supports designers in finding new business opportunities. The proposed method was applied to a real offering of products and services by a cleaning machine provider and found effective.

Keywords

Product-service systems Design Reliability FMEA Business opportunity 

References

  1. Akao Y, Mazur GH, King B (1990) Quality function deployment: integrating customer requirements into product design. Productivity Press, CambridgeGoogle Scholar
  2. Baines TS et al (2007) State-of-the-art in product-service systems. Proc Inst Mech Eng B 221:1543–1552. doi:10.1243/09544054jem858 CrossRefGoogle Scholar
  3. Bianchi NP, Evans S, Revetria R, Tonelli F (2009) Influencing factors of successful transitions towards product-service systems: a simulation approach. Int J Math Comput Simul 3:30–43Google Scholar
  4. Chuang PT (2007) Combining service blueprint and FMEA for service design. Serv Ind J 27:91–104. doi:10.1080/02642060601122587 CrossRefGoogle Scholar
  5. Chuang PT (2010) Incorporating disservice analysis to enhance perceived service quality. Ind Manag Data Syst 110:368–391. doi:10.1108/02635571011030033 CrossRefGoogle Scholar
  6. Erkoyuncu JA, Roy R, Shehab E, Wardle P (2009) Uncertainty challenges in service cost estimation for product-service systems in the aerospace and defence industries. In: Proceedings of the 19th CIRP design conference–competitive design, Cranfield University PressGoogle Scholar
  7. Erkoyuncu JA, Roy R, Shehab E, Cheruvu K (2011) Understanding service uncertainties in industrial product-service system cost estimation. Int J Adv Manuf Tech 52:1223–1238. doi:10.1007/s00170-010-2767-3 CrossRefGoogle Scholar
  8. Eubanks CF, Kmenta S, Ishii K (1997) Advanced failure modes and effects analysis using behavior modeling. In: ASME Design Engineering Technical Conferences, pp 14–17Google Scholar
  9. Geum Y, Shin J, Park Y (2011) FMEA-based portfolio approach to service productivity improvement. Serv Ind J 31:1825–1847. doi:10.1080/02642069.2010.503876 CrossRefGoogle Scholar
  10. Goedkoop MJ (1999) Product service systems, ecological and economic basics. Ministry of Housing, Spatial Planning and the Environment, Communications DirectorateGoogle Scholar
  11. Hara T, Arai T, Shimomura Y (2009) A CAD system for service innovation: integrated representation of function, service activity, and product behaviour. J Eng Des 20:367–388CrossRefGoogle Scholar
  12. Kimita K, Tateyama T, Shimomura Y (2012) Process simulation method for product-service systems design. In: Proceedings of the 45th CIRP conference on manufacturing systems, pp 555–560Google Scholar
  13. Kimura F, Hata T, Kobayashi N (2002) Reliability-centered maintenance planning based on computer-aided FMEA. In: The 35th CIRP-international seminar on manufacturing systems, pp 12–15Google Scholar
  14. Kmenta S, Ishii K (2004) Scenario-based failure modes and effects analysis using expected cost. J Mech Des 126:1027–1035CrossRefGoogle Scholar
  15. Kmenta S, Fitch P, Ishii K (1999) Advanced failure modes and effects analysis of complex processes. In: Proceedings of the 1999 ASME design engineering technical conference, design for manufacturing conferenceGoogle Scholar
  16. Kurtoglu T, Tumer IY (2008) A graph-based fault identification and propagation framework for functional design of complex systems. J Mech Des 130:051401. doi:10.1115/1.2885181 CrossRefGoogle Scholar
  17. Kurtoglu T, Tumer IY, Jensen DC (2010) A functional failure reasoning methodology for evaluation of conceptual system architectures. Res Eng Des 21:209–234CrossRefGoogle Scholar
  18. Lange K, Leggett S, Baker B (2001) Potential failure mode and effects analysis (FMEA). Reference Manual AIAG, Southfield, MichiganGoogle Scholar
  19. Legnani E, Cavalieri S, Marquez AC, Díaz VG (2010) System dynamics modeling for product-service systems—a case study in the agri-machine industry. In: Proceedings of APMSGoogle Scholar
  20. McAloone T, Andreasen MM (2002) Defining product service systems. Design for X, Beiträge zum 13 Symposium. Erlangen: Lehrstuhl für Konstruktionstechnik, pp 51–60Google Scholar
  21. MIL-STD-1629 (1980) Procedures for performing a failure mode, effects and criticality analysis. United States Department of Defense, Washington DCGoogle Scholar
  22. Mont OK (2002) Clarifying the concept of product–service system. J Clean Prod 10:237–245. doi:10.1016/S0959-6526(01)00039-7 CrossRefGoogle Scholar
  23. Neely A, Benedettini O, Visnjic I (2011) The servitization of manufacturing: Further evidence. In: 18th European operations management association conference, Cambridge, pp 3–6Google Scholar
  24. Reiling JG, Knutzen BL, Stoecklein M (2003) FMEA–the cure for medical errors. Qual Prog 36:67–71Google Scholar
  25. Rhee SJ, Ishii K (2003) Using cost based FMEA to enhance reliability and serviceability. Adv Eng Inform 17:179–188. doi:10.1016/j.aei.2004.07.002 CrossRefGoogle Scholar
  26. Richter A, Sadek T, Steven M (2010) Flexibility in industrial product-service systems and use-oriented business models. CIRP J Manuf Sci Technol 3:128–134CrossRefGoogle Scholar
  27. Sakao T, Lindahl M (2015) A method to improve integrated product service offerings based on life cycle costing. CIRP Ann Manuf Technol 64:33–36. doi:10.1016/j.cirp.2015.04.052 CrossRefGoogle Scholar
  28. Sakao T, Shimomura Y, Sundin E, Comstock M (2009) Modeling design objects in CAD system for service/product engineering. Comput Aided Des 41:197–213CrossRefGoogle Scholar
  29. Sakao T, Rönnback AÖ, Sandström GÖ (2013) Uncovering benefits and risks of integrated product service offerings—using a case of technology encapsulation. J Syst Sci Syst Eng 22:421–439. doi:10.1007/s11518-013-5233-6 CrossRefGoogle Scholar
  30. Shimomura Y, Tomiyama T (2005) Service modeling for service engineering. In: Arai E, Kimura F, Shirase K (eds) Knowledge and skill chains in engineering and manufacturing. Springer, New York, pp 31–38Google Scholar
  31. Shimomura Y, Hara T, Arai T (2008) A service evaluation method using mathematical methodologies. CIRP Ann Manuf Technol 57:437–440. doi:10.1016/j.cirp.2008.03.012 CrossRefGoogle Scholar
  32. Shostack LG (1982) How to design a service. Eur J Mark 16:49–63CrossRefGoogle Scholar
  33. Stock ME, Stone RB, Tumer IY (2003) Going back in time to improve design: the elemental function-failure design method. In: ASME 2003 international design engineering technical conferences and computers and information in engineering conference, American Society of Mechanical Engineers, pp 431–441Google Scholar
  34. Stone RB, Tumer IY, Stock ME (2005) Linking product functionality to historic failures to improve failure analysis in design. Res Eng Des 16:96–108. doi:10.1007/s00163-005-0005-z CrossRefGoogle Scholar
  35. Sun HB, Wang Z, Zhang YF, Chang ZY, Mo R, Liu Y (2012) Evaluation method of product-service performance. Int J Comput Integr Manuf 25:150–157. doi:10.1080/0951192x.2011.627946 CrossRefGoogle Scholar
  36. Tukker A, Tischner U (2006) New business for old Europe: product-service development, competitiveness and sustainability. Greenleaf PubnsGoogle Scholar
  37. Vargo SL, Lusch RF (2004) Evolving to a new dominant logic for marketing. J Mark 68:1–17. doi:10.1509/jmkg.68.1.1.24036 CrossRefGoogle Scholar
  38. Wang XJ, Durugbo C (2013) Analysing network uncertainty for industrial product-service delivery: a hybrid fuzzy approach. Expert Syst Appl 40:4621–4636. doi:10.1016/j.eswa.2013.01.062 CrossRefGoogle Scholar
  39. White SA (2004) Introduction to BPMN. IBM Cooperation, New YorkGoogle Scholar
  40. Zhang ZF, Chu XN (2010) A new approach for conceptual design of product and maintenance. Int J Comput Integr Manuf 23:603–618. doi:10.1080/09511921003736766 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  1. 1.Department of System DesignTokyo Metropolitan UniversityTokyoJapan
  2. 2.Department of Management and EngineeringLinköping UniversityLinköpingSweden

Personalised recommendations