Title page for ETD etd-05242005-112442

Document Type Doctoral Thesis
Author Albertyn, Martin
Email martina@sadi.co.za
URN etd-05242005-112442
Document Title Generic simulation modelling of stochastic continuous systems
Degree PhD (Industrial Engineering)
Department Industrial and Systems Engineering
Advisor Name Title
Prof S J Claasen Co-Supervisor
Prof P S Kruger Supervisor
  • iteration time interval
  • Simul8
  • Arena
  • event-driven method
  • Fraction-comparison method
  • stochastic system
  • continuous system
  • high-level building block
  • simulation model
  • generic methodology
Date 2004-12-02
Availability unrestricted
The key objective of this research is to develop a generic simulation modelling methodology that can be used to model stochastic continuous systems effectively. The generic methodology renders simulation models that exhibit the following characteristics: short development and maintenance times, user-friendliness, short simulation runtimes, compact size, robustness, accuracy and a single software application.

The research was initiated by the shortcomings of a simulation modelling method that is detailed in a Magister dissertation. A system description of a continuous process plant (referred to as the Synthetic Fuel plant) is developed. The decision support role of simulation modelling is considered and the shortcomings of the original method are analysed. The key objective, importance and limitations of the research are also discussed.

The characteristics of stochastic continuous systems are identified and a generic methodology that accommodates these characteristics is conceptualised and developed. It consists of the following eight methods and techniques: the variables technique, the iteration time interval evaluation method, the event-driven evaluation method, the Entity-represent-module method, the Fraction-comparison method, the iterative-loop technique, the time “bottleneck” identification technique and the production lost “bottleneck” identification technique. Five high-level simulation model building blocks are developed.

The generic methodology is demonstrated and validated by the development and use of two simulation models. The five high-level building blocks are used to construct identical simulation models of the Synthetic Fuel plant in two different simulation software packages, namely: Arena and Simul8. An iteration time interval and minimum sufficient sample sizes are determined and the simulation models are verified, validated, enhanced and compared. The simulation models are used to evaluate two alternative scenarios. The results of the scenarios are compared and conclusions are presented.

The factors that motivated the research, the process that was followed and the generic methodology are summarised. The original method and the generic methodology are compared and the strengths and weaknesses of the generic methodology are discussed. The contribution to knowledge is explained and future developments are proposed. The possible range of application and different usage perspectives are presented. To conclude, the lessons learnt and reinforced are considered.

© 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria

Please cite as follows:

Albertyn, M 2004, Generic simulation modelling of stochastic continuous systems, PhDs thesis, University of Pretoria, Pretoria, viewed yymmdd < http://upetd.up.ac.za/thesis/available/etd-05242005-112442 / >

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  00front.pdf 248.47 Kb 00:01:09 00:00:35 00:00:31 00:00:15 00:00:01
  01chapter1.pdf 833.75 Kb 00:03:51 00:01:59 00:01:44 00:00:52 00:00:04
  02chapter2.pdf 1.10 Mb 00:05:05 00:02:36 00:02:17 00:01:08 00:00:05
  03chapter3.pdf 759.51 Kb 00:03:30 00:01:48 00:01:34 00:00:47 00:00:04
  04chapter4.pdf 305.49 Kb 00:01:24 00:00:43 00:00:38 00:00:19 00:00:01
  05chapter5.pdf 695.15 Kb 00:03:13 00:01:39 00:01:26 00:00:43 00:00:03
  06references.pdf 178.66 Kb 00:00:49 00:00:25 00:00:22 00:00:11 < 00:00:01
  07appendices.pdf 721.87 Kb 00:03:20 00:01:43 00:01:30 00:00:45 00:00:03

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