2000Journal of the Operational Research SocietyRequires access

Discrete quantity approach to continuous simulation modelling

Pelham Barton, Andrew M. Tobias

Open publisher page 3 citations

Abstract

Traditionally, simulation executives have been divided into discrete-event and continuous-time executives. Some systems require modelling using both discrete and continuous parts. Hybrid simulation executives have the drawback that they treat discrete and continuous parts of a system in completely different ways. Here it is shown how continuous models may be simulated using a discrete executive: the novel discrete quantity approach (DQA). The method could also be used to allow a continuous part to be added to a discrete model without the need for a hybrid executive.

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What this paper is about

Traditionally, simulation executives have been divided into discrete-event and continuous-time executives. Some systems require modelling using both discrete and continuous parts. Hybrid simulation executives have the drawback that they treat discrete and continuous parts of a system in completely different ways. Here it is shown how continuous models may be simulated using a discrete executive: the novel discrete quantity approach (DQA). The method could also be used to allow a continuous part to be added to a discrete model without the need for a hybrid executive.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Traditionally, simulation executives have been divided into discrete-event and continuous-time executives. Some systems require modelling using both discrete and continuous parts. Hybrid simulation executives have the drawback that they treat discrete and continuous parts of a system in completely different ways. Here it is shown how continuous models may be simulated using a discrete executive: the novel discrete quantity approach (DQA). The method could also be used to allow a continuous part to be added to a discrete model without the need for a hybrid executive.

Key concepts: Discrete modelling, Discrete event simulation, Continuous modelling, Continuous simulation, Computer science, Discrete system, Discrete-time stochastic process, Discrete time and continuous time

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