article · 1996
Soft systems methodology and simulation modeling
Cited by 10Abstract and details only
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.
Cite this paper
Lehaney, B., & Paul, R. J. (1996). Soft systems methodology and simulation modeling. https://doi.org/10.1145/256562.256788
Lehaney, Brian, and Ray J. Paul. “Soft systems methodology and simulation modeling.” 1996, pp. 695–700, https://doi.org/10.1145/256562.256788.
Lehaney, Brian, and Ray J. Paul. 1996. “Soft systems methodology and simulation modeling.” https://doi.org/10.1145/256562.256788.
Lehaney, B. and Paul, R.J. (1996) ‘Soft systems methodology and simulation modeling’. Available at: https://doi.org/10.1145/256562.256788.
@article{lehaney1996soft,
title = {{Soft systems methodology and simulation modeling}},
author = {Lehaney, Brian and Paul, Ray J.},
pages = {695--700},
year = {1996},
doi = {10.1145/256562.256788}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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