Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9500

Title: The application of discrete event simulation and system dynamics in the logistics and supply chain context
Authors: Tako, Antuela A.
Robinson, Stewart
Keywords: Simulation modelling
Logistics and supply chain management
Discrete-event simulation
System dynamics
Comparison of methods
Issue Date: 2012
Publisher: © Elsevier
Citation: TAKO, A.A. and ROBINSON, S., 2012. The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52 (4), pp. 802 - 815.
Abstract: Discrete event simulation (DES) and system dynamics (SD) are two modelling approaches widely used as decision support tools in logistics and supply chain management (LSCM). A widely held belief exists that SD is mostly used to model problems at a strategic level, whereas DES is used at an operational/tactical level. This paper explores the application of DES and SD as decision support systems (DSS) for LSCM by looking at the nature and level of issues modelled. Peer reviewed journal papers that use these modelling approaches to study supply chains, published between 1996 and 2006 are reviewed. A total of 127 journal articles are analysed to identify the frequency with which the two simulation approaches are used as modelling tools for DSS in LSCM. Our findings suggest that DES has been used more frequently to model supply chains, with the exception of 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 decision making involved, strategic or operational/tactical, there is no difference in the use of either DES or SD. The results of this study inform the existing literature about the use of DES and SD as DSS tools in LSCM.
Description: This article was published in the journal, Decision Support Systems [© Elsevier] and the definitive version is available at: http://dx.doi.org/10.1016/j.dss.2011.11.015
Version: Accepted for publication
DOI: 10.1016/j.dss.2011.11.015
URI: https://dspace.lboro.ac.uk/2134/9500
Publisher Link: http://dx.doi.org/10.1016/j.dss.2011.11.015
ISSN: 0167-9236
Appears in Collections:Published Articles (Business)

Files associated with this item:

File Description SizeFormat
supply chain paper_DSS_revisedOctober2011.pdf532.61 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.