Explaining puzzling dynamics: A comparison of system dynamics and discrete‐event simulation

Morecroft, John D. W.; Robinson, Stewart

doi:10.1002/9781118762745.ch09

Cited by 41 publications

(43 citation statements)

References 24 publications

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“…This paper complements previous work comparing SD and DES, e.g., Morecroft and Robinson (2014). Barlas and Özgün conclude that DES provides better results for systems containing a small number of entities and servers but DES and SD provide similar outputs when the scale of the system increases (many servers and entities).…”

Section: Demonstrations Of How Multi-methods Approaches Feature In Sd supporting

confidence: 65%

Special issue on advances in system dynamics modelling from the perspective of other simulation methods

Kunc

Morecroft

Brailsford³

2018

Journal of Simulation

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Section: Demonstrations Of How Multi-methods Approaches Feature In Sd supporting

confidence: 65%

Special issue on advances in system dynamics modelling from the perspective of other simulation methods

Kunc

Morecroft

Brailsford³

2018

Journal of Simulation

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“…After the trade facilitation measures were defined, the discrete-event simulation method was chosen (Morecroft & Robinson, 2005) and it has been recommended for modeling stochastic arrival rates (Haughton & Isotupa, 2012). In addition, discrete event simulation allows those involved in the process of analysis and decision makers to directly influence the model development.…”

Section: Customs Broker Customs Brokermentioning

confidence: 99%

Streamlining air import operations by trade facilitation measures

Ferreira

Morini

Santa-Eulalia

2017

JOSCM

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Global operations are subject to considerable uncertainties. Due to the Trade Facilitation Agreement that became effective in February 2017, the study of measures to streamline customs controls is urgent. This study aims to assess the impact of trade facilitation measures on import flows. An experimental study was performed in the largest cargo airport in South America through discrete-event simulation and design of experiments. Operation impacts of three trade facilitation measures are assessed on import flow by air. We shed light in the following trade facilitation measures: the use of X-ray equipment for physical inspection; increase of the number of qualified companies in the trade facilitation program; performance targets for customs officials. All trade facilitation measures used indicated potential to provide more predictability, cost savings, time reduction, and increase in security in international supply chain.

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“…Ingalls [67], on the other hand, points out that DES can play a significant role in modelling supply chains at a strategic and tactical level. In their study comparing DES and SD, Morecroft and Robinson contemplate that there is not a straightforward distinction between the two approaches, but that it is rather a result of a careful consideration of various criteria: "Perhaps there is both 'strategic DES' and 'operational SD' and it's just a matter of which components you chose for your simulated enterprise" [99]. Meanwhile, others consider the use of combined or hybrid approaches, especially for modelling supply chains.…”

Section: Opinions On the Nature And Level Of Use Of Des And Sdmentioning

confidence: 99%

“…However, others claim that the divide between the two modelling approaches might not be so clear-cut. Different aspects of the same problem may be highlighted by each modelling approach [99], but on the other hand, if the problem is similarly represented in both approaches, similar outcomes can be observed from the users' point of view [140].…”

mentioning

confidence: 95%

The application of discrete event simulation and system dynamics in the logistics and supply chain context

Tako

Robinson

2012

Decision Support Systems

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332

136

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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.Additional Information:• This article was published in the journal, Decision Support Sys- AbstractDiscrete 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.

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Explaining puzzling dynamics: A comparison of system dynamics and discrete‐event simulation

Cited by 41 publications

References 24 publications

Special issue on advances in system dynamics modelling from the perspective of other simulation methods

Special issue on advances in system dynamics modelling from the perspective of other simulation methods

Streamlining air import operations by trade facilitation measures

The application of discrete event simulation and system dynamics in the logistics and supply chain context

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