User Experiences using FLAME:A Case Study Modelling Conflict in Large Enterprise System Implementations

Williams, Richard (2021) User Experiences using FLAME:A Case Study Modelling Conflict in Large Enterprise System Implementations. Simulation Modelling Practice and Theory, 106. ISSN 1569-190X

[img]
Text (FLAME_AAM)
FLAME_AAM.pdf - Accepted Version
Restricted to Repository staff only until 19 September 2021.
Available under License Creative Commons Attribution-NonCommercial-NoDerivs.

Download (3MB)

Abstract

The complexity of systems now under consideration (be they biological, physical, chemical, social, etc), together with the technicalities of experimentation in the real-world and the non-linear nature of system dynamics, means that computational modelling is indispensible in the pursuit of furthering our understanding of complex systems. Agent-based modelling and simulation is rapidly increasing in its popularity, in part due to the increased appreciation of the paradigm by the non-computer science community, but also due to the increase in the usability, sophistication and number of modelling frameworks that use the approach. The Flexible Large-scale Agent-based Modelling Environment (FLAME) is a relatively recent addition to the list. FLAME was designed and developed from the outset to deal with massive simulations, and to ensure that the simulation code is portable across different scales of computing and across different operating systems. In this study, we report our experiences when using FLAME to model the development and propagation of conflict within large multi-partner enterprise system implementations, which acts as an example of a complex dynamical social system. We believe FLAME is an excellent choice for experienced modellers, who will be able to fully harness the capabilities that it has to offer, and also be competent in diagnosing and solving any limitations that are encountered. Conversely, because FLAME requires considerable development of instrumentation tools, along with development of statistical analysis scripts, we believe that it is not suitable for the novice modeller, who may be better suited to using a graphical user interface driven framework until their experience with modelling and competence in programming increases.

Item Type:
Journal Article
Journal or Publication Title:
Simulation Modelling Practice and Theory
Additional Information:
This is the author’s version of a work that was accepted for publication in Simulation Modelling Practice and Theory. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Simulation Modelling Practice and Theory, 106, 2020 DOI: 10.1016/j.simpat.2020.102196
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2611
Subjects:
ID Code:
147439
Deposited By:
Deposited On:
22 Sep 2020 14:20
Refereed?:
Yes
Published?:
Published
Last Modified:
12 Oct 2020 13:05