Skip to main content

Simulation Optimization of Practical Concurrent Service Systems

  • Chapter
  • First Online:
Intelligent Automation and Computer Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 52))

  • 762 Accesses

Abstract

Concurrent service systems are modeled using the Generalized Stochastic Petri Nets (GSPN) to account for the multiple asynchronous activities within the system. The simulated operation of the GSPN modeled system is then optimized using the Particle Swarm Optimization (PSO) meta-heuristic algorithm. The objective function consists of the service costs and the waiting costs. Service cost is the cost of hiring service-providing professionals, while waiting cost is the estimate of the loss to business as some customers might not be willing to wait for the service and may decide to go to the competing organizations. The optimization is subject to the management and to the customer satisfaction constraints. The tailor-made PSO is found to converge rapidly yielding optimum results for the operation of a practical concurrent service system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anderson, D.R., Sweeney, D.J., & Williams, T.A. (2003). An introduction to management science: Quantitative approaches to decision making (10th ed.). Ohio: Thomson South-Western.

    Google Scholar 

  2. Dube-Rioux, L., Schmitt, B.H., & Leclerc, F. (1988). Consumer’s reactions to waiting: when delays affect the perception of service quality. In T. Srull (Ed.), Advances in consumer research, Association for Consumer Research, 16, 59–63.

    Google Scholar 

  3. Fishman, G.S. (1978). Principles of discrete event simulation. New York: Wiley.

    MATH  Google Scholar 

  4. Folkes, V.S. (1984). Consumer reactions to product failure: an attributional approach. Journal Consumer Research, 10(4), 298–409.

    Google Scholar 

  5. Folkes, V.S., Koletsky, S., & Graham, J.L. (1987). A field study of causal inferences and consumer reaction: the view from the airport. Journal of Consumer Behavior, 13, 534–539.

    Google Scholar 

  6. Hillier, F.S. (1963). Economic models for industrial waiting line problems. Management Science, 10(1), 119–130.

    Article  Google Scholar 

  7. Holliday, M.A., & Vernon, M.K. (1985). A generalized timed Petri net model for performance evaluation. In Proceedings of the international workshop timed Petri nets, Torino (pp. 181–190).

    Google Scholar 

  8. Kennedy, J., & Eberhart, R.C. (1995). Particle swarm optimization. Proceedings of the IEEE international conference neural network (pp. 1942–1948). Piscataway

    Google Scholar 

  9. Kennedy, J., Eberhart R.C., & Shi, Y. (2001). Swarm Intelligence. San Francisco, CA: Morgan Kaufmann.

    Google Scholar 

  10. Maister, D.H. (1985). The psychology of waiting lines. In J. Czepiel, M.R. Solomon, & C.F. Surprenant (Eds.), The service encounter (pp. 113–123). Lexington, MA: Lexington Books.

    Google Scholar 

  11. Molloy, M.K. (1982). Performance analysis using stochastic Petri nets. IEEE Transactions on Computers, 31(9), 913–917.

    Article  Google Scholar 

  12. Murata, T. (1989). Petri nets – properties, analysis, and applications. Proceedings of the IEEE, 77(4), 541–580.

    Article  Google Scholar 

  13. Ozcan, Y.A. (2005). Quantitative methods in health care management: techniques and applications. San Francisco, CA: Jossey-Bass/Wiley.

    Google Scholar 

  14. Peterson, J.L. (1981). Petri net theory and the modeling of systems. New York: Prentice-Hall.

    Google Scholar 

  15. Ramamoorthy C.V., & Ho, G.S. (1980). Performance evaluation of asynchronous concurrent systems using Petri nets, IEEE Transactions on Software Engineering, 6(5), 440–449.

    Article  MathSciNet  MATH  Google Scholar 

  16. Razouk, R.R. (1984). The derivation of performance expressions for communication protocols from timed Petri nets. Computer Communications Review, 14(2), 210–217.

    Article  Google Scholar 

  17. Reeves, C. (2003). Genetic algorithms. In F. Glover, & G.A. Kochenberger (Eds.), Handbook of metaheuristics. Boston: Kluwer.

    Google Scholar 

  18. Scotland, R. (1991). Customer service: a waiting game. Marketing, 11, 1–3.

    Google Scholar 

  19. Taylor, S. (1994). Waiting for service: the relationship between delays and evaluation of service. Journal of Marketing, 58, 56–69.

    Article  Google Scholar 

  20. Taylor, S. (1995). The effects of filled waiting time and service provider control over the delay on evaluations of service. Journal of Academic Marketing Science, 23(1), 38–48.

    Article  Google Scholar 

  21. Terano, T. Asai, K., & Sugeno, M. (1992). Fuzzy systems theory and its applications. Boston: Academic.

    MATH  Google Scholar 

  22. Turksen, I.B. (1991). Measurement of membership functions and their acquisition, Fuzzy Sets and Systems, 40, 5–38.

    Article  MathSciNet  MATH  Google Scholar 

  23. Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8, 338–359.

    Article  MathSciNet  MATH  Google Scholar 

  24. Zimmermann, H.-J. (1991). Fuzzy set theory and its applications (2nd ed.). Boston: Kluwer.

    MATH  Google Scholar 

  25. Zuberek, W.M. (1988). D-timed Petri nets and modelling of timeouts and protocols. Transactions of the Society for Computer Simulation, 4(4), 331–357.

    Google Scholar 

Download references

Acknowledgments

This work has been supported by the Open Research Center Project funds from “MEXT” of the Japanese Government (2007–2011).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tad Gonsalves .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Gonsalves, T., Itoh, K. (2009). Simulation Optimization of Practical Concurrent Service Systems. In: Huang, X., Ao, SI., Castillo, O. (eds) Intelligent Automation and Computer Engineering. Lecture Notes in Electrical Engineering, vol 52. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3517-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-90-481-3517-2_6

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-3516-5

  • Online ISBN: 978-90-481-3517-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics