Method for assessing and selecting discrete event simulation software applied to the analysis of logistic systems
A K da Silva and
R C Botter
Journal of Simulation, 2009, vol. 3, issue 2, 95-106
Abstract:
Discrete event simulation is one of the most powerful tools available to the analysis of several problem domains; among them, logistic systems field. This fact interested many specialized companies to develop software, which led to different options of price and characteristics. In this context, it has been identified a growing need for a method to selecting discrete event simulation focused in logistic problems. To fill in this gap, a set of criteria that address some of the specific needs for the development of models applied to the analysis of logistic systems was proposed. These criteria formed the base of the method that has embodied the best characteristics of the works identified in the Literature. Software such as Arena, ProModel and @Risk, widely used in Polytechnic School of the University of São Paulo, Brazil, were evaluated for presentation of practical applicability of the proposed method.
Date: 2009
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1057/jos.2008.21 (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:3:y:2009:i:2:p:95-106
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjsm20
DOI: 10.1057/jos.2008.21
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 ().