A framework for model integration and holistic modelling of socio-technical systems


Autoria(s): Wu, Paul P.; Fookes, Clinton B.; Pitchforth, Jegar; Mengersen, Kerrie
Data(s)

01/03/2015

Resumo

This paper presents a layered framework for the purposes of integrating different Socio-Technical Systems (STS) models and perspectives into a whole-of-systems model. Holistic modelling plays a critical role in the engineering of STS due to the interplay between social and technical elements within these systems and resulting emergent behaviour. The framework decomposes STS models into components, where each component is either a static object, dynamic object or behavioural object. Based on existing literature, a classification of the different elements that make up STS, whether it be a social, technical or a natural environment element, is developed; each object can in turn be classified according to the STS elements it represents. Using the proposed framework, it is possible to systematically decompose models to an extent such that points of interface can be identified and the contextual factors required in transforming the component of one model to interface into another is obtained. Using an airport inbound passenger facilitation process as a case study socio-technical system, three different models are analysed: a Business Process Modelling Notation (BPMN) model, Hybrid Queue-based Bayesian Network (HQBN) model and an Agent Based Model (ABM). It is found that the framework enables the modeller to identify non-trivial interface points such as between the spatial interactions of an ABM and the causal reasoning of a HQBN, and between the process activity representation of a BPMN and simulated behavioural performance in a HQBN. Such a framework is a necessary enabler in order to integrate different modelling approaches in understanding and managing STS.

Formato

application/pdf

application/pdf

Identificador

http://eprints.qut.edu.au/79986/

Publicador

Elsevier BV

Relação

http://eprints.qut.edu.au/79986/1/STS%20Modelling%20Framework_v3.pdf

http://eprints.qut.edu.au/79986/8/79986.pdf

DOI:10.1016/j.dss.2015.01.006

Wu, Paul P., Fookes, Clinton B., Pitchforth, Jegar, & Mengersen, Kerrie (2015) A framework for model integration and holistic modelling of socio-technical systems. Decision Support Systems, 71, pp. 14-27.

Direitos

Copyright 2015 Elsevier BV

This is the author’s version of a work that was accepted for publication in Decision Support Systems. 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 Decision Support Systems, [VOL 71, ISSUE#, (2015)] DOI: 10.1016/j.dss.2015.01.006

Fonte

ARC Centre of Excellence for Mathematical & Statistical Frontiers (ACEMS); School of Electrical Engineering & Computer Science; School of Mathematical Sciences; Science & Engineering Faculty

Palavras-Chave #Socio-Technical Systems (STS) #modelling #Agent Based Model #Bayesian Network #Business Process Modelling Notation
Tipo

Journal Article