Multifaceted modelling of complex business enterprises

Article

Chakraborty, Subrata, Mengersen, Kerrie, Fidge, Colin, Ma, Lin and Lassen, David. 2015. "Multifaceted modelling of complex business enterprises." PLoS One. 10 (8). https://doi.org/10.1371/journal.pone.0134052
Article Title

Multifaceted modelling of complex business
enterprises

ERA Journal ID39745
Article CategoryArticle
AuthorsChakraborty, Subrata (Author), Mengersen, Kerrie (Author), Fidge, Colin (Author), Ma, Lin (Author) and Lassen, David (Author)
Journal TitlePLoS One
Journal Citation10 (8)
Number of Pages30
Year2015
PublisherPublic Library of Science (PLoS)
Place of PublicationSan Francisco, CA. United States
ISSN1932-6203
Digital Object Identifier (DOI)https://doi.org/10.1371/journal.pone.0134052
Web Address (URL)http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0134052
Abstract

We formalise and present a new generic multifaceted complex system approach for modelling
complex business enterprises. Our method has a strong focus on integrating the various
data types available in an enterprise which represent the diverse perspectives of
various stakeholders. We explain the challenges faced and define a novel approach to converting
diverse data types into usable Bayesian probability forms. The data types that can
be integrated include historic data, survey data, and management planning data, expert
knowledge and incomplete data. The structural complexities of the complex system modelling
process, based on various decision contexts, are also explained along with a solution.
This new application of complex system models as a management tool for decision making
is demonstrated using a railway transport case study. The case study demonstrates how
the new approach can be utilised to develop a customised decision support model for a specific
enterprise. Various decision scenarios are also provided to illustrate the versatility of
the decision model at different phases of enterprise operations such as planning and
control.

KeywordsBayesian Network, business model, decision support, complex system
ANZSRC Field of Research 2020490501. Applied statistics
460902. Decision support and group support systems
490108. Operations research
Public Notes

Copyright: © 2015 Chakraborty et al. This is an
open access article distributed under the terms of the
Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any
medium, provided the original author and source are
credited.

Byline AffiliationsSchool of Management and Enterprise
Queensland University of Technology
Queensland Rail, Australia
Institution of OriginUniversity of Southern Queensland
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