Advertisement

Proposal of a New Mutual-Aid Service to Support Resilient Society: Simulation-Based Service Design Approach

  • Seiichi Kawata
  • Junfu Chen
  • Kazuki Hirasawa
  • Keiichi Koyama
  • Shohei Ogawa
  • Bo Huang
Chapter

Abstract

This chapter is a proposal of new mutual-aid service to support resilient society. The term resilient originally means elasticity and being able to recover immediately from an unanticipated difficult situation. We have experienced that our neighborhood helps us in times of shortage of our immediate needs. The act of helping each other makes our daily life safe and resilient. The SysML is used to design our proposed service. And the discrete event system simulator simulates this service to evaluate the effectiveness of the service. Simulation results are used to discuss the validity of this mutual-aid service.

Keywords

Network service Resilience Simulation SysML 

References

  1. 1.
    Gauthereau V, Hollnagel E (2005) Planning, control and adaptation: a case study. Eur Manag J 23(1):118–131CrossRefGoogle Scholar
  2. 2.
    Hollnagel E, Woods DD, Leveson N (2006) Resilience engineering: concepts and precepts. Ashgate, AldershotGoogle Scholar
  3. 3.
    Liang T-P, Huang J-S (1998) An empirical study on consumer acceptance of products in electronic markets: a transaction cost model. Decis Support Syst 24:29–43CrossRefGoogle Scholar
  4. 4.
    Bauer HH, Grether M, Leach M (2002) Building customer relations over the internet. Ind Mark Manag 31:155–163CrossRefGoogle Scholar
  5. 5.
    Huang Y, Chung J-Y (2003) A Web services-based framework for business integration solutions. Electron Commer Res Appl 2:15–26CrossRefGoogle Scholar
  6. 6.
    Jøsang A, Ismail R, Boyd C (2007) A survey of trust and reputation systems for online service provision. Decis Support Syst 43:618–644CrossRefGoogle Scholar
  7. 7.
    OMG SysML (2013) OMG Systems Modeling Language, Version 1.2, http://www.omgsysml.org/
  8. 8.
    Tamura Y, Nishigaki H, Miyoshi K, Huang H, Kawata S (2012) A proposal of home continuity plan service system, modeling by sysml and validating by discrete event simulation. In: Proceedings of SICE annual conference (SICE), Yamagata 20–23 August, pp 137–144Google Scholar
  9. 9.
    Pruitt J, Adlin T (2006) The persona lifecycle: keeping people in mind throughout product design (Interactive Technologies). Morgan Kaufmann, BurlingtonGoogle Scholar
  10. 10.
    Yoshimitsu Y, Hara T, Shimomura Y, Arai T (2006) Development of service CAD system based on service engineering (24th report)–evaluation method for service in the point of customer’s view. In: Proceedings of the 2006 JSPE autumn meeting, Utsunomiya, pp 993–994 (in Japanese)Google Scholar
  11. 11.
    Narui T, Tateyama T, Shimomura Y, Kawata S (2008) Design-value tuning system for efficient service design. In: The 22nd annual conference of the Japanese society for artificial intelligence, Asahikawa (in Japanese)Google Scholar
  12. 12.
    Kelton WD (2009) Simulation with arena, 5th revised. McGraw-Hill, New YorkGoogle Scholar

Copyright information

© Springer Japan 2014

Authors and Affiliations

  • Seiichi Kawata
    • 1
  • Junfu Chen
    • 1
  • Kazuki Hirasawa
    • 1
  • Keiichi Koyama
    • 1
  • Shohei Ogawa
    • 1
  • Bo Huang
    • 1
  1. 1.Advanced Institute of Industrial TechnologyTokyoJapan

Personalised recommendations