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Part of the book series: Decision Engineering ((DECENGIN))

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Abstract

Simulation is associated with providing an outcome in terms of quantitative performance statistics for measures of interest such as machine utilisation rates and process cost estimates. However it has been found that there are also useful qualitative outcomes to a simulation study that add to its usefulness and provide a further case for its more widespread usage. This chapter investigates on the qualitative outcomes of three simulation studies.

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References

  • Bentley, J.P. (1999), Introduction to Reliability and Quality Engineering, 2nd Edition, Addison Wesley: Harlow.

    Google Scholar 

  • Bessant, J.; Gilbert, J.; Harding, R.; Webb, S. (1994), Rediscovering continuous improvement, Technovation, 14, 17–29.

    Article  Google Scholar 

  • Daly, J.S.; Cassidy, B.D.; Kulasiri, G.D. (1995), A simulation model of woollen system carpet yarn manufacture for production planning applications, Computers and Electronics in Agriculture, 249–260.

    Google Scholar 

  • Diamond R., Harrell C.R., Henrikson J.O., Nordgren W.B., Pegden C.D., Rohrer M.W., Waller A.P., Law A.M. (2002), The current and future status of simulation software (panel), In Proceedings of the 2002 Winter Simulation Conference, SCS, 1633–1640.

    Google Scholar 

  • Evans, J.R.; Anderson, D.R., Sweeny, D.J.; Williams, T.A. (1990), Applied Production and Operations Management, 5th Edition, West Publishing.

    Google Scholar 

  • Falcone, D. and De Felice, F. (1999), Dimensioning of a transfer system for the optimization of the flows of the materials in a textile enterprise by means of simulation technique, Proceedings of the 13th European Simulation Multiconference, Warsaw, 2, 526–529.

    Google Scholar 

  • Fitzsimmons, J.A. and Fitzsimmons, M.J. (1994), Service Management for Competitive Advantage, McGraw-Hill.

    Google Scholar 

  • Gravel, M. and Price, W.L. (1991), Visual Interactive Simulation shows how to use the Kanban method in small business, Interfaces, 21: 5, 22–33.

    Article  Google Scholar 

  • Hill, T.J. (1983), Production/Operations Management, Prentice Hall.

    Google Scholar 

  • Hollocks, B.W. (1995), Simulation may be Dangerous – Experimentation Practice and the Implications for Simulation software, In Proceedings of the 1995 EUROSIM Conference (Vienna, Sep. 11–15), Elsevier.

    Google Scholar 

  • Hope, C. and Mühlemann, A. (1997), Service Operations Management: Strategy, design and delivery, Prentice Hall.

    Google Scholar 

  • Imai, M. (1986), Kaizen: The Key to Japan’s Competitive Success, Random House.

    Google Scholar 

  • Kachitvichyanukul, V., Henriksen, J.O., Pegden, C.D., Ingalls, R.G., Schmeiser, B.W. (2001), Simulation Environment for the New Millennium (Panel), In Proceedings of the 2001 Winter Simulation Conference, SCS, 541–547.

    Google Scholar 

  • Kelton, W.D., Sadowski, R.P., Sturrock, D.T. (2007), Simulation with Arena, 4th Edition, McGraw-Hill, Singapore.

    Google Scholar 

  • Law, A.M. and Kelton, W.D. (2000), Simulation Modeling and Analysis, Third Edition, Mc-Graw-Hill, Singapore.

    Google Scholar 

  • Law, A.M. and McComas, M.G. (1989),Pitfalls to avoid in the simulation of manufacturing systems, Industrial Engineering, May.

    Google Scholar 

  • Lovelock, C.H. (1988), Managing Services: Marketing, Operations, and Human Resources, Prentice-Hall.

    Google Scholar 

  • McHaney, R. (1991), Computer Simulation: A Practical Perspective, Academic Press.

    Google Scholar 

  • Monden, Y. (1983), Toyota Production System, Industrial Engineering and Management Press.

    Google Scholar 

  • Paul, R.J. (1991), Recent Developments in Simulation Modelling, Journal of the Operational Research Society, 42: 3.

    Article  Google Scholar 

  • Pegden, C.D.; Shannon, R.E.; Sadowski, R.P. (1995), Introduction to Simulation Using SIMAN , Second Edition, McGraw-Hill.

    Google Scholar 

  • Pidd, M. (1998), Computer Simulation in Management Science, Fourth Edition, Wiley, Chicester.

    Google Scholar 

  • Robinson, S. (1994) Successful Simulation: A Practical Approach to Simulation Projects, McGraw-Hill, Berkshire.

    MATH  Google Scholar 

  • Robinson S. (2002), Modes of simulation practice: approaches to business and military simulation, Simulation Modelling Practice and Theory, 10, 513–523.

    Article  Google Scholar 

  • Rowe, A.J.; Boulgarides, J.D. (1992), Managerial Decision Making: A Guide to Successful Business Decisions, Macmillan.

    Google Scholar 

  • Schmenner, R.W. (1993), Production/Operations Management, Fifth Edition, Macmillan.

    Google Scholar 

  • Schniederjans, M.J. (1993), Just-in-Time Management, Allyn and Bacon.

    Google Scholar 

  • Seppanen, M.S. (2000), Developing Industrial Strength Simulation Models using Visual Basic for Applications (VBA), In Proceedings of the 2000 Winter Simulation Conference, SCS, 77–82.

    Google Scholar 

  • Shin, D. and Min, H. (1991), Flexible Line Balancing Practices in a Just-In-Time Environment, Production and Inventory Management Journal, Fourth Quarter.

    Google Scholar 

  • Sprague, R.H. (1993), Decision Support Systems: Putting Theory into Practice, Third Edition, Prentice Hall.

    Google Scholar 

  • Stevenson, W.J. (1993), Production/Operations Management, Fourth Edition, IRWIN.

    Google Scholar 

  • Thomas, E. and Dessouky, Y. (2003), The integrated use of process mapping & simulation for a product design process In Proceedings of the 31st International Conference on Computers and Industrial Engineering, 251–258.

    Google Scholar 

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© 2008 Springer London

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(2008). Enabling Simulation – Qualitative Simulation. In: Enabling a Simulation Capability in the Organisation. Decision Engineering. Springer, London. https://doi.org/10.1007/978-1-84800-169-5_6

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  • DOI: https://doi.org/10.1007/978-1-84800-169-5_6

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84800-168-8

  • Online ISBN: 978-1-84800-169-5

  • eBook Packages: EngineeringEngineering (R0)

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