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The application of discrete event simulation and system dynamics in the logistics and supply chain context
Abstract:
Discrete event simulation (DES) and system dynamics (SD) are two modelling approaches widely used as decisionsupport tools in logistics and supply chain management (LSCM). A widely held belief exists that SD ismostly used to model problems at a strategic level, whereas DES is used at an operational/tactical level. Thispaper explores the application of DES and SD as decision support systems (DSS) for LSCM by looking at thenature and level of issues modelled. Peer reviewed journal papers that use these modelling approaches tostudy supply chains, published between 1996 and 2006 are reviewed. A total of 127 journal articles are analysedto identify the frequency with which the two simulation approaches are used as modelling tools for DSSin LSCM. Our findings suggest that DES has been used more frequently to model supply chains, with the exceptionof the bullwhip effect, which is mostly modelled using SD. Based on the most commonly used modelling approach, issues in LSCM are categorised into four groups: the DES domain, the SD domain, the common domain and the less common domain. The study furthermore suggests that in terms of the level of decisionmaking involved, strategic or operational/tactical, there is no difference in the use of either DES or SD. Theresults of this study inform the existing literature about the use of DES and SD as DSS tools in LSCM.
Keywords: Logistics and supply chain management Simulation modelling Discrete-event simulation System dynamics Comparison of methods
Author(s): Antuela A. Tako , Stewart Robinson
Source: Decision Support Systems 52 (2012) 802–815
Subject: لجستیک
Category: مقاله مجله
Release Date: 2012
No of Pages: 14
Price(Tomans): 0
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