Abstract
Currently, the importance of services is widely accepted in various industries. Given this background, fundamental research on service engineering is carried out quite actively. Service engineering seeks to provide design methodology for services from an engineering perspective.
In product and service design, designers are generally forced to spend a lot of redesign works if design changes occur at a late stage of the design process. Thus, it is important for designers to validate design solutions in the early stage(s) of the design process by using simulation methods. However, simulation models in the existing methods are built with quantitative information. In the early stages of the service design process, most of the information about a design solution is still not defined; therefore, it is difficult to obtain sufficient quantitative information. For obtaining such quantitative information, service providers need to offer a designed service to their customers as a trial, which impose much effort for building quantitative simulation models. In order to reduce such risks, this research applies a qualitative simulation method, which can be used to analyze the behavior of systems with fuzzy qualitative information. In this paper, we propose a method to build a qualitative simulation model with the design information available at the early stage(s) of the service design process. This method would enable designers to evaluate a design solution in the early stage of a service design process and would increase quality of the service design.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Japan’s Ministry of Economy, Trade and Industry, 2012, “Trade in Services: Report on Compliance by Major Trading Partners with Trade Agreements - WTO, FTA/EPA and BIT.”
Arai, T. and Shimomura, Y., 2004, “Proposal of Service CAD System: A Tool for Service Engineering,” Annals of the CIRP, Vol. 53, No. 1, pp. 397–400.
Shimomura, Y. and Tomiyama, T., 2005, “Service Modeling for Service Engineering,” IFIP International Federation for Information Processing, Vol. 167, pp. 31–38.
Tukker, A. and Tischner, U., 2006, “Product-services as a Research Field: Past, Present and Future. Reflections from a Decade of Research,” Journal of Cleaner Production, Vol. 14, No. 17, pp. 1552–1556.
Maglio, P. P., Kreulen, J., Srinivasan, S. and Spohrer, J., 2006, “Service Systems, Service Scientists, SSME, and Innovation,” Communications of the ACM, Vol. 49, No. 7, pp. 81–85.
Raymond, P. F. and Stephen, J. S., 2007, Interactive Service Marketing, South-Western Pub.
Bobrow, D.J., ed., 1984, Artificial Intelligence, Special Issue on Qualitative Reasoning about Physical System, Vol. 24.
Moritsu, R., Wakabayashi, H., Tshumaya, A., Shirase, K. and Arai, E., 2001, “Development of Qualitative Kinematic Simulation System for Concept Design,” JSME Annual Meeting, No. 01-1(VI), pp. 47–48.
Kiriyama. T., Tomiyama, T. and Yoshikawa, H., 1992, “Qualitative Reasoning and Conceptual Design with Physical Features,” Faltings. B and Struss. P (ed.) Recent Advances in Qualitative Physics, The MIT Press, Cambridge, MA, USA, pp. 375–386.
Office of Government Commerce, 2007, Service Transition, UK, TSO, pp. 78.
Yamaguchi, S., Hattori, M., Ge, Q. W. and Tanaka, M., 2002, “A Modeling Method Based on High-level Petri Nets for Food Business Workflows,” Proc. of ICFS 2002, pp. 31–36.
Hatakeyama, S. and Yokomura, K., 1990, “A Development of TEMPO System: Shop Model and Simulator,” Simulation, Vol. 9, No. 3, pp. 180–188.
Tsubouchi, T., Yamato, H. and Hiekata, K., 2010, “Development of the Simulator for the On-demand Bus Introduction,” Journal of the Japanese Society for Artificial Intelligence, Vol. 25, No. 3, pp. 400–403.
Tan, Y. and Takakuwa, S., 2007, “Predicting the Impact on Business Performance of Enhanced Information System Using Business Process Simulation,” Winter Simulation Conference, pp. 2203–2211.
Murata, T., 1989, “Petri Nets: Properties, Analysis and Application,” Proceedings of the IEEE, Vol. 77, No. 4, pp. 541–580.
Meier, H., Lagemann, H. and Boßlau, M., 2013, “Dynamic Influences on Workforce Capacity Planning for IPS2 Delivery,” Proceedings of the 5th CIRP International Conference on Industrial Product-Service Systems, pp. 323–334.
Meier, H. and Boßlau, M., 2013, “Design and Engineering of Dynamic Business Models for Industrial Product-Service Systems,” Proceedings of the 4th CIRP International Conference on Industrial Product-Service Systems, pp. 179–184.
Akasaka, F., Nemoto, Y. and Shimomura, Y., 2013, “Product Service Systems Design Focusing on System Aspect: Total Value Creation for various Stakeholders,” Proceedings of CIRP, IPS2 Conference 2013, pp. 371–382.
Sterman, J. D., 2000, Business Dynamics: System Thinking and Modeling for a Complex World, McGraw-Hill.
Forbus, K. D., 1984, Qualitative Process Theory, Artificial Intelligence, Vol. 24, No. 1–3, pp. 85–168.
Bredeweg, B., et al., 2009, “Garp3-Workbench for Qualitative Modelling and Simulation,” Ecological Informatics, Vol. 4, No. 5, pp. 263–281.
Hewitt, C., 1977, “Viewing Control Structures as Patterns of Passing Messages,” Artificial Intelligence, Vol. 8, No. 3, pp. 323–364.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Japan
About this paper
Cite this paper
Morishita, Y. et al. (2017). Qualitative Simulation for Early-Stage Service Design. In: Sawatani, Y., Spohrer, J., Kwan, S., Takenaka, T. (eds) Serviceology for Smart Service System. ICServ 2015. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56074-6_40
Download citation
DOI: https://doi.org/10.1007/978-4-431-56074-6_40
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-56072-2
Online ISBN: 978-4-431-56074-6
eBook Packages: EngineeringEngineering (R0)