Automatically generating computer simulation models from business process models.

BRADSHAW, Mark. (2003). Automatically generating computer simulation models from business process models. Masters, Sheffield Hallam University (United Kingdom)..

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Abstract

In a modern business environment it is common place for organisations to use both Business Process Modelling and Simulation tools for a variety of business operations. Although these tools are used for different purposes, they are often used on the same projects, but at a different point in its lifecycle. Business Process Modelling is a static modelling tool, which is process orientated and models current business processes. Whilst Simulation is a dynamic modelling tool, which is system orientated, testing current and future operations. Although the modelling tools are different the process definition within both methods contain the same data. Currently that data is not reused and simulation modellers will often reproduce that information from scratch. Therefore a successful integration of the modelling methods would extend the capacity of Business Process Modelling tools and make Simulation more acceptable among reengineering practitioners. A literature review was carried out to identify the capacity of different modelling methodologies, identifying the variances between the modelling procedures and substantiate the need for an integrated solution. Based on the structured research programme, experimentation was undertaken evaluating the proposed method of integration. The results of the research were then documented, evaluating its advantages, disadvantages, limitations and the requirements for any future research. The research identified the potential of an integrated system and the problems that restrict a solution. From the experimentation it became apparent that integration of two software packages is a feasible option, and could potentially enhance both their capabilities.

Item Type: Thesis (Masters)
Additional Information: Thesis (Ph.D.)--Sheffield Hallam University (United Kingdom), 2003.
Research Institute, Centre or Group: Sheffield Hallam Doctoral Theses
Depositing User: EPrints Services
Date Deposited: 10 Apr 2018 17:18
Last Modified: 30 Apr 2018 22:19
URI: http://shura.shu.ac.uk/id/eprint/19389

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