So where to next? A survey of the future for discrete-event simulation

Taylor, Simon J. E.; Robinson, Stewart

doi:10.1057/palgrave.jos.4250002

Cited by 43 publications

(24 citation statements)

References 4 publications

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“…In their survey, Taylor and Robinson [23] state that there is a need for higher level modeling techniques that abstract away from low-level model detail to justify the development of a detailed model. Furthermore, Fowler and Rose [24] state that reducing problem solving cycles is a grand challenge in modeling and simulation of complex manufacturing systems.…”

Section: Discussionmentioning

confidence: 99%

Predicting Cycle Time Distributions for Integrated Processing Workstations: An Aggregate Modeling Approach

Veeger

Etman

Lefeber

et al. 2011

IEEE Trans. Semicond. Manufact.

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Predicting the cycle time distribution as a function of throughput is helpful in making a trade-off between workstation productivity and meeting due dates. To predict cycle time distributions, detailed models are almost exclusively used, which require considerable development and maintenance effort. Instead, we propose a so-called aggregate model to predict cycle time distributions, which is a lumped-parameter representation of the queueing system. The lumped parameters of the model are determined directly from arrival and departure events measured at the workstation. The paper demonstrates that the aggregate model can accurately predict the cycle time distribution of workstations in semiconductor manufacturing, in particular the tail of the distribution.

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Section: Discussionmentioning

confidence: 99%

Predicting Cycle Time Distributions for Integrated Processing Workstations: An Aggregate Modeling Approach

Veeger

Etman

Lefeber

et al. 2011

IEEE Trans. Semicond. Manufact.

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“…The following lists a set of key challenges for WSS based on personal experiences of new technological development over a 20 year period (see, for example, Miller et al 2001;Mustafee and Taylor 2009;Robinson et al 2004;Taylor and Robinson 2006;). These include experiences in Web-based Simulation, Distributed Simulation and Grid Computing.…”

Section: Challenges For Web Simulation Sciencementioning

confidence: 99%

Challenges for web simulation science

Taylor¹

2011

Proceedings of the 2011 Winter Simulation Conference (WSC)

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“…Furthermore, issues related to how to make DES linked to other areas such as process modelling approaches were identified as simulation practice priorities by the JOS 2006 Survey (Taylor & Robinson, 2006). A main driver for this is a general trend of enterprise integration and interoperability.…”

Section: Categories Of Business Process Simulation Toolsmentioning

confidence: 99%

Criteria for the Evaluation of Business Process Simulation Tools

Vukšić¹,

Čerić²,

Hlupic³

2007

IJIKM

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This paper focuses on a process of simulation software packages selection in the context of business process change projects. The paper presents discrete event simulation, its relation to business process modelling and examples of its practical applications in business process change projects. Features of business process simulation tools are examined, the most important simulation features are identified and the criteria for their evaluation are defined. The guidelines that could help managers in the selection of business process simulation tools are proposed. The discussion addresses the limitations of the proposed guidelines. Finally, based on the conducted research and the evaluation criteria defined within the guidelines, some directions for the further improvement of business process simulation tools are given.

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So where to next? A survey of the future for discrete-event simulation

Cited by 43 publications

References 4 publications

Predicting Cycle Time Distributions for Integrated Processing Workstations: An Aggregate Modeling Approach

Predicting Cycle Time Distributions for Integrated Processing Workstations: An Aggregate Modeling Approach

Challenges for web simulation science

Criteria for the Evaluation of Business Process Simulation Tools

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