EconPapers    
Economics at your fingertips  
 

Using soft systems methodology to determine the simulation study objectives

K Kotiadis

Journal of Simulation, 2007, vol. 1, issue 3, 215-222

Abstract: This paper demonstrates, through a case study in health care, that Soft Systems Methodology (SSM) can be used to determine the conceptual model's most important component, the simulation study objectives. Conceptual modelling is a critical part of the simulation methodology because it is the problem structuring stage in which the questions of what, why and how in terms of modelling the system of interest are answered. Therefore, it is surprising that very little has been done to link problem structuring methods to Discrete Event Simulation (DES). SSM is the most popular problem structuring approach to be used in DES and although various papers advocate its usefulness to the simulation study in general, SSM has not been used it to determine the simulation study objectives. In this study, one of the SSM tools is extended to better fit with the process of eliciting the simulation study objectives and the approach is demonstrated through a case study. This paper provides potential adopters with a set of guidelines for this SSM extension and also provides a discussion on the benefits of using SSM and its potential for being adapted for simulation conceptual modelling. Areas that would benefit from further research are identified.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1057/palgrave.jos.4250025 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tjsmxx:v:1:y:2007:i:3:p:215-222

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20

DOI: 10.1057/palgrave.jos.4250025

Access Statistics for this article

Journal of Simulation is currently edited by Christine Currie

More articles in Journal of Simulation from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tjsmxx:v:1:y:2007:i:3:p:215-222