A simulation methodology for continuous systems

Abstract

This paper discusses the problem of modelling a continuous supply chain efficiently. Some existing modelling systems have poor performance, severely limiting their utility. The core of this work is the design, implementation and testing of a more efficient computational pattern that is claimed to improve performance. While the problem is apparently continuous, analysis suggests that this problem can be modelled using an adaption of discrete techniques. A pattern involving a modification of the Three Phase Approach discrete-event simulation technique was developed. Analysis of the way in which the effects of an event spread within the system modelled leads to a method by which excessive re-calculation can be avoided, yielding a model that is computationally more efficient. The pattern is then used in the investigation of automated design of the structure of the supply chain. The production, processing, transportation and consumption of Liquid National Gas (LNG) and the associated products form a complex supply chain and were selected as the example problem to be the subject of this work. The results demonstrate a high level of performance – sufficient speed to make experimentation with supply chain structure problems, with a real world level of complexity, practical.

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