Combining problem structuring methods with simulation: the philosophical and practical challenges

Book chapter


Kotiadis, K. and Mingers, J. 2014. Combining problem structuring methods with simulation: the philosophical and practical challenges. in: Discrete Event Simulation and System Dynamics for Management Decision Making Chichester Wiley. pp. 52-75
AuthorsKotiadis, K. and Mingers, J.
Abstract

Combinations of problem structuring methods with hard OR methodologies are seldom described in the literature. This chapter reflects on the barriers to such combinations that can be seen at the philosophical level - paradigm incommensurability - and cognitive level - type of personality and difficulty of switching paradigm. The chapter examines the combination of soft systems methodology and discrete-event simulation within an intermediate care case study.

KeywordsSimulation, problem structuring methods, multimethodology
Page range52-75
Year2014
Book titleDiscrete Event Simulation and System Dynamics for Management Decision Making
PublisherWiley
Output statusPublished
Place of publicationChichester
SeriesWiley Series in Operations Research and Management Science
ISBN9781118349021
Publication dates
Print01 May 2014
Publication process dates
Deposited08 Dec 2016
Permalink -

https://repository.canterbury.ac.uk/item/87z9v/combining-problem-structuring-methods-with-simulation-the-philosophical-and-practical-challenges

  • 69
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Facilitated post-model coding in discrete event simulation (DES): a case study in healthcare
Kotiadis, K. and Tako, A. 2017. Facilitated post-model coding in discrete event simulation (DES): a case study in healthcare. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2017.10.047
Learning from discrete-event simulation: exploring the high involvement hypothesis
Monks, T., Robinson, S. and Kotiadis, K. 2014. Learning from discrete-event simulation: exploring the high involvement hypothesis. European Journal of Operational Research. 235 (1), pp. 195-205. https://doi.org/10.1016/j.ejor.2013.10.003
PartiSim: a framework for participative simulation modelling
Tako, A. and Kotiadis, K. 2015. PartiSim: a framework for participative simulation modelling. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2015.01.046
Can involving clients in simulation studies help them solve their future problems? A transfer of learning experiment
Monks, T., Robinson, S. and Kotiadis, K. 2015. Can involving clients in simulation studies help them solve their future problems? A transfer of learning experiment. European Journal of Operational Research. 249 (3), pp. 919-930. https://doi.org/10.1016/j.ejor.2015.08.037
A participative and facilitative conceptual modelling framework for discrete event simulation studies in healthcare
Kotiadis, K., Tako, A. and Vasilakis, C. 2014. A participative and facilitative conceptual modelling framework for discrete event simulation studies in healthcare. Journal of the Operation Research Society. 65 (2), pp. 197-213. https://doi.org/10.1057/jors.2012.176
Addressing the sample size problem in behavioural operational research: simulating the newsvendor problem
Robinson, S., Dimitriou, S. and Kotiadis, K. 2016. Addressing the sample size problem in behavioural operational research: simulating the newsvendor problem. Journal of the Operational Research Society. https://doi.org/10.1057/s41274-016-0016-3
Improving patient waiting times: a simulation study of an obesity care service
Tako, A., Kotiadis, K., Vasilakis, C., Miras, A. and Roux, C. 2014. Improving patient waiting times: a simulation study of an obesity care service. BMJ Quality & Safety. 23 (5), pp. 373-381. https://doi.org/10.1136/bmjqs-2013-002107