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Evaluation and Assessment of Two Simulation Software for Service Engineering

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Serviceology for Services (ICServ 2013)

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Abstract

The service industry is recognized as a central element of modern economies. Services represent an important topic both for practitioners and researchers: although they may contribute substantially to a company’s bottom line, they still lack a methodological support and a systematic study for the design phase. To make service provision profitable in the long term, it is of utmost relevance to balance the excellence in the value channel to the customer with a high efficiency and productivity of the service processes. In this respect, simulation can support companies during their service engineering process by providing a support in the identification of the best scenario, as well as a qualitative and quantitative assessment of the company’s decisions. Nonetheless, no specific service-oriented simulation software is available on the market. Therefore, this chapter aims at comparing two simulation software solutions originally oriented to the manufacturing area. Through a real-case example, we discuss a comparative analysis between two widespread commercial simulation software, evaluating which one is the most suitable to be used in the service contexts.

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References

  1. Johnston R, Silvestro R (1990) The determinants of service quality – a customer based approach. In: Proceedings of the 1st international research seminar in service management. Aix en Provence

    Google Scholar 

  2. Johns N (1999) What is this thing called service? Eur J Mark 33(9/10):958–974

    Article  Google Scholar 

  3. Levitt T (1972) Production line approach to service. Harv Bus Rev 50(5):20–30

    Google Scholar 

  4. Berry LL, Parasuraman A (1991) Competing through quality. In marketing services. The Free Press, New York

    Google Scholar 

  5. Bitner MJ (1997) Services marketing: perspectives on service excellence’. J Retail 1(73):3–6

    Article  Google Scholar 

  6. Cook D, Goh C, Chung C (1999) Service typologies: a state of the art survey. Prod Operation Manag 8(3):318–338

    Article  Google Scholar 

  7. Blois KJ (1974) The marketing of services: an approach. Eur J Mark 8(Summer):137–145

    Article  Google Scholar 

  8. Lovelock CH (1983) Classifying services to gain strategic marketing insights. J Mark 47(3)(Summer), 9–20

    Google Scholar 

  9. Berry LL (1980) Service marketing is different. Business, May–June, 24–29

    Google Scholar 

  10. Zeithaml VA, Bitner MJ (1996) Services marketing, McGraw-Hill, New York

    Google Scholar 

  11. Gronroos C (2000) Services management and marketing: a customer relationship approach, 2nd edn. Wiley, New York

    Google Scholar 

  12. Quinn J, Baruch J, Paquette P (1987) Technology in services. Sci Am 257(6):50–58

    Article  Google Scholar 

  13. Lin KJ (2008) The design of an accountability framework for service engineering. In: Proceedings of the 41st Hawaii international conference on system sciences

    Google Scholar 

  14. Bullinger H, Fahnrich K, Meiren T (2003) Service engineering—methodical development of new service products. Int J Prod Econ 85(3):275–287

    Article  Google Scholar 

  15. Banks J (1998) Handbook of simulation: principles, methodology, advances, applications, and practice. Wiley, New York

    Google Scholar 

  16. Bangsow S (2012) Use cases of discrete event simulation appliance and research. Springer-Verlag, Berlin Heidelberg

    Google Scholar 

  17. Laughery KR, Laughery BR, Lovvoll DR, Mcquilkin ML, Wogalter MS (1998) Effects of warnings on responsibility allocation. Psychol Mark 15:687–706

    Google Scholar 

  18. Duckwitz et al (2011) Simulation oh human behavior in knowledge-intensive services, Institute of industrial engineering and ergonomics. RWTH Aachen University, Aachen

    Google Scholar 

  19. Banks (1998) Handbook of simulation: principles, methodology, advances, applications, and practice. Wiley, New York September 14

    Google Scholar 

  20. Gladwin B, Tumay K (1994) Modelling business processes with simulation tools. In: Tew JD, Manivannan S, Sadowski DA, Seila AF (eds) Winter Simulation Conference, Lake Buena Vista, FL, December 11–14. pp. 114–121

    Google Scholar 

  21. Chung AC (2004) Simulation Modeling Handbook: A Practical Approach. Boca Raton, London, New York

    Google Scholar 

  22. Nikoukaran J, Paul RJ (1999) Software selection for simulation in manufacturing: a review. Simul Pract Theory 7(1):1–14

    Google Scholar 

  23. Keeney RL, Raiffa H (1976) Decisions with multiple objectives: preferences and value trade-offs. Wiley, New York

    Google Scholar 

  24. Olson DL (1996) Decision aids for selection problems. Springer, New York

    Book  Google Scholar 

  25. Stewart TJ (1992) A critical survey on the status of multiple criteria decision making theory and practice. OMEGA 20(5/6):569–586

    Article  Google Scholar 

  26. Banks J (1991) Selecting simulation software. In: Proceedings of the 1991 winter simulation conference. Arizona, pp 15–20

    Google Scholar 

  27. Banks J, Aviles E, McLaughlin JR, Yuan RC (1991) The simulator: new member of the simulation family. Interfaces 21(2):76–86

    Article  Google Scholar 

  28. Banks J, Carson JS, Nelson BL (1996) Discrete-event system simulation. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  29. Davis L, Williams G (1994) Evaluation and selecting simulation software using the analytic hierarchy process. Integr Manuf Syst 5(1):23–32

    Article  Google Scholar 

  30. Hlupic V (1997) Simulation software selection using SimSelect. Simulation 69(4):231–239

    Article  Google Scholar 

  31. Nikoukaran J, Paul RJ (1998) Simulation software selection “whys and hows”. Yugosl J of Oper Res 8(1):93–102

    MATH  Google Scholar 

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Correspondence to Giuditta Pezzotta .

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Pezzotta, G., Pinto, R., Pirola, F., Cavalieri, S. (2014). Evaluation and Assessment of Two Simulation Software for Service Engineering. In: Mochimaru, M., Ueda, K., Takenaka, T. (eds) Serviceology for Services. ICServ 2013. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54816-4_28

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  • DOI: https://doi.org/10.1007/978-4-431-54816-4_28

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-54815-7

  • Online ISBN: 978-4-431-54816-4

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