SIMULATIONS-OVERVIEW OF HYBRID SIMULATION MODELS
MSc Bojan Jovanovski * Ss. Cyril and Methodi University, Faculty of Mecahical Engineering, Skopje, Macedonia Dr Robert Minovski Ss. Cyril and Methodi University, Faculty of Mecahical Engineering, Skopje, Macedonia Dr Siegfried Voessner Institute of Engineering and Business Informatics, TU Graz, Austria Dr Gerald Lichtenegger Institute of Engineering and Business Informatics, TU Graz, Austria doi:10.5937/jaes10-2512
An opportunity for system dynamics in manufacturing system modelling
The computer simulation of manufacturing systems is commonly carried out using discrete event simulation (DES). Indeed, there appears to be a lack of applications of continuous simulation methods, particularly system dynamics (SD), despite evidence that this technique is suitable for industrial modelling. This paper investigates whether this is due to a decline in the general popularity of SD, or whether modelling of manufacturing systems represents a missed opportunity for SD. On this basis, the paper first gives a review of the concept of SD and fully describes the modelling technique. Following on, a survey of the published applications of SD in the 1990s is made by developing and using a structured classification approach. From this review, observations are made about the application of the SD method and opportunities for future research are suggested.
The design, application and evaluation of a system dynamics based methodology for the assessment of computerised information systems
This paper describes the development, application and evaluation of a system dynamics based methodology for the assessment of computerised information systems (CIS) carried out as part of a joint research project between the University of Bradford Management Centre and the Defence Research Agency (Military). It is suggested that assessment methods based solely on the internal attributes of the CIS are inadequate. There is a need for assessment in terms of the contribution which the CIS makes to the overall performance of the host system in which it will be implanted. A methodology based on system dynamics is described which embodies this principle.