Soft systems methodology and simulation modeling

Authors:
Brian Lehaney;Ray J. Paul
Affiliations:
Faculty of Business, University of Luton, Luton, Beds, LU1 3JU, UK;Department of Computing and IS, Brunel University, Uxbridge, UB8 3PH, UK
Venue:
WSC '96 Proceedings of the 28th conference on Winter simulation
Year:
1996

Citing 1
Cited 1

Systems: concepts, methodologies, and applications

Systems: concepts, methodologies, and applications

S.U.C.C.E.S.S.F.U.L.: a framework for designing discrete event simulation courses

Winter Simulation Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

Simulation is both popular and powerful, but reportage of simulation case studies indicates that in many cases process is treated cursorily, and end-user-acceptance of final models is not forthcoming. Whilst texts often proclaim the importance of process, this is usually left to the discretion of the modeler, A range of problem structuring (or soft) methodologies have been developed to address process issues. However, these can be both slow and unwieldy. This paper outlines a case which utilises the principles of soft methodologies in a relatively quick and dirty approach to process.