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Enabling Simulation – Simulation and OR Techniques

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Enabling a Simulation Capability in the Organisation

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

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Abstract

This section investigates how simulation can be combined with the operational research techniques of Activity Based Costing (ABC), System Dynamics and Data Envelopment Analysis (DEA).

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References

  • Braglia, M. and Petroni, A. (1999), Data envelopment analysis for dispatching rule selection, Production Planning and Control, 10, 454–467.

    Article  Google Scholar 

  • Chance, F., Robinson, J. and Fowler, J. (1996), Supporting Manufacturing with Simulation: Model design, development, and deployment, Proceedings of the 1996 Winter Simulation Conference, SCS, 114–121.

    Google Scholar 

  • Charnes, A., Cooper, W.W., Rhodes, E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research, 2, 429–444.

    Article  MATH  MathSciNet  Google Scholar 

  • Charnes, A., Cooper, W.W., Rhodes, E. (1979), Short communication: Measuring the efficiency of decision making units, European Journal of Operational Research, 3, 339.

    Article  Google Scholar 

  • Checkland, P.B. (1981), Systems Thinking, Systems Practice, John Wiley & Sons, Chichester, UK.

    Google Scholar 

  • Chen, T. (2002), A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan. J Opl Res Soc, 53, 492–500.

    Article  MATH  Google Scholar 

  • Cooper, W.W. and Tone, K. (1997), Measures of inefficiency in data envelopment analysis and stochastic frontier estimation, European Journal of Operational Research, 99, 72–88.

    Article  MATH  Google Scholar 

  • Coyle, R.G. (1985), Representing Discrete Events in System Dynamics Models: a theoretical application to modelling coal production, Journal of the Operational Research Society, 36, 307–318.

    Article  MATH  Google Scholar 

  • Crespo-Márquez, A., Usano, R.R., and Aznar, R.D. (1993), Continuous and Discrete Simulation in a Production Planning System. A Comparative Study, International System Dynamics Conference, Cancun, Mexico.

    Google Scholar 

  • Curram, S., Coyle, J., and Exelby, D. (2000), Planes, Trains And Automobiles... A System Dynamics Model With Discrete Elements, 18th International Conference of the System Dynamics Society, Bergen, Norway.

    Google Scholar 

  • Forrester, J.W. (1961), Industrial Dynamics, Productivity Press, Portland, OR.

    Google Scholar 

  • Fowler, A. (2003), Systems modelling, simulation, and the dynamics of strategy, Journal of Business Research, 56, 135–144.

    Article  Google Scholar 

  • Freeman, J.M. (1992) Planning Police Staffing Levels, J. Opl Res. Soc., 43, 187–194.

    Article  Google Scholar 

  • Galbraith, L. and Standridge, CR. (1994), Analysis in manufacturing systems simulation: A case study, SIMULATION, 63: 6, 368–375.

    Article  Google Scholar 

  • Greasley, A. and Barlow, S. (1998), Using simulation modelling for BPR: resource allocation in a police custody process, International Journal of Operations and Production Management, 18: 9/10, 978–988.

    Article  Google Scholar 

  • Greasley, A. (1999), Operations Management in Business, Stanley Thornes Ltd.

    Google Scholar 

  • Greasley, A. (2000), A simulation analysis of arrest costs, J Opl Res Soc, 51, 162–167.

    Article  MATH  Google Scholar 

  • Greenwood, T.G. and Reeve, J.M. (1994), Process Cost Management, Cost Management, Winter, 4–19.

    Google Scholar 

  • Jackson, M.C. (2003), Systems Thinking: Creative Holism for Managers, John Wiley & Sons Ltd, Chichester, UK.

    Google Scholar 

  • Kaplan, R.S. and Cooper R. (1992), Activity-Based Systems: Measuring the Cost of Resources, Accounting Horizons, Sept, 1–13.

    Google Scholar 

  • Kaplan, R.S. and Cooper, R. (1998), Cost and Effect: Using Integrated Cost Systems to Drive Profitability and Performance, Harvard Business School Press, Boston.

    Google Scholar 

  • Kelton, W.D., Sadowski, R.P. and Sadowski, D.A. (2002), Simulation with Arena, 2nd Edition, McGraw-Hill, Singapore.

    Google Scholar 

  • Kim, D.H. (1992), Systems Archetypes: Diagnosing Systemic Issues and Designing High-Leverage Interventions, Toolbox Reprint Series: Systems Archetypes, Pegasus Communications, 3–26.

    Google Scholar 

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

    Google Scholar 

  • Maani, K.E. and Cavana, R.Y. (2000), Systems Thinking and Modelling: Understanding Change and Complexity, Pearson Education, New Zealand.

    Google Scholar 

  • Martin, R. and Raffo, D. (2001), Application of a hybrid process simulation model to a software development project, The Journal of Systems and Software, 59, 237–246.

    Article  Google Scholar 

  • MacDonald, R.H. (1996), Discrete Versus Continuous Formulation: A Case Study Using Coyle’s Aircraft Carrier Survivability Model, International System Dynamics Conference, Cambridge, Massachusetts.

    Google Scholar 

  • McMullen, P.R. and Frazier, G.V. (1998), Using Simulation and Data Envelopment Analysis to Compare Assembly Line Balancing Solutions, Journal of Productivity Analysis, 11, 149–168.

    Article  Google Scholar 

  • Oakshott, L. (1997), Business Modelling and Simulation, Pitman Publishing.

    Google Scholar 

  • Ostrenga, M.R. and Probst, F.R. (1992), Process Value Analysis: The Missing Link In Cost Management, Cost Management, Fall, 4–13.

    Google Scholar 

  • Pegden, C.D., Shannon R.E. and Sadowski R.P. (1995), Introduction to Simulation using Siman, Second Edition, McGraw-Hill.

    Google Scholar 

  • Revilla, E., Sarkis, J., Modrego, A. (2003), Evaluating performance of public-private research collaborations: A DEA analysis. J Opl Res Soc, 54, 165–174.

    Article  MATH  Google Scholar 

  • Robinson, S. (2001), Soft with a hard centre: discrete-event simulation in facilitation, Journal of the Operational Research Society, 52, 905–915.

    Article  MATH  Google Scholar 

  • Ruiz Usano, R.; Torres, J.M.F.; Marquez, A.C. and Castro, R.Z.D. (1996), System Dynamics and Discrete Simulation in a Constant Work-in-Process System: A Comparative Study, International System Dynamics Conference, Cambridge, Massachusetts.

    Google Scholar 

  • Rus, I.; Collofello, J.; Lakey, P. (1999), Software process simulation for reliability management, The Journal of Systems and Software, 46, 173–182.

    Article  Google Scholar 

  • Senge, P.M. (1990) The Fifth Discipline: The Art and Practice of The Learning Organization, Random House, London.

    Google Scholar 

  • Skrikanth, M.L. and Cavallaro, H.E. (1993), Regaining Competitiveness: Putting the Goal to Work, Second Revised Edition, North River Press.

    Google Scholar 

  • Spedding, T.A. and Chan, K.K. (2001), System level improvement using discrete event simulation, International Journal of Quality and Reliability Management, 18: 1, 84–103.

    Article  Google Scholar 

  • Sweetser, A. (1999), A Comparison of System Dynamics (SD) and Discrete Event Simulation (DES), 17th International Conference of the System Dynamics Society and 5th Australian & New Zealand Systems Conference, Wellington, New Zealand.

    Google Scholar 

  • Swenseth, S.R., Olson, J.R., Southard, P.B. (2002), Extending product profiling through simulation, International Journal of Operations and Production Management, 22: 9, 956–971.

    Article  Google Scholar 

  • Thanassoulis, E. (1995), Assessing police forces in England and Wales using Data Envelopment Analysis, European Journal of Operational Research, 87, 641–657.

    Article  MATH  Google Scholar 

  • Turney, P.B.B. (1996), Activity Based Costing: The Performance Breakthrough, Kogan Page.

    Google Scholar 

  • Welgama, PS. and Mills, RGJ. (1995), Use of simulation in the design of a JIT system, International Journal of Operations and Production Management, 15: 9, 245–260.

    Article  Google Scholar 

  • Wolstenholme, E.F. and Coyle, R.G. (1980), Modelling Discrete Events in System Dynamics Models”, Sixth Intl. Conf. on System Dynamics, Paris.

    Google Scholar 

  • Wolstenholme, E.F. (1982), Modelling Discrete Events in System Dynamics Models, Dynamica, 6, part 1.

    Google Scholar 

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© 2008 Springer London

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(2008). Enabling Simulation – Simulation and OR Techniques. In: Enabling a Simulation Capability in the Organisation. Decision Engineering. Springer, London. https://doi.org/10.1007/978-1-84800-169-5_7

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  • DOI: https://doi.org/10.1007/978-1-84800-169-5_7

  • 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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