A model based approach for complex dynamic decision-making


Current state-of-the-practice and state-of-the-art of decision-making aids are inadequate for modern organisations that deal with significant uncertainty and business dynamism. This paper highlights the limitations of prevalent decision-making aids and proposes a model-based approach that advances the modelling abstraction and analysis machinery for complex dynamic decision-making. In particular, this paper proposes a meta-model to comprehensively represent organisation, establishes the relevance of model-based simulation technique as analysis means, introduces the advancements over actor technology to address analysis needs, and proposes a method to utilise proposed modelling abstraction, analysis technique, and analysis machinery in an effective and convenient manner. The proposed approach is illustrated using a near real-life case-study from a business process outsourcing organisation.

Publication DOI: https://doi.org/10.1007/978-3-319-94764-8_5
Divisions: College of Engineering & Physical Sciences
Additional Information: © Springer Nature B.V. 2018. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-94764-8_5
Event Title: 5th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017
Event Type: Other
Event Dates: 2017-02-19 - 2017-02-21
Uncontrolled Keywords: Conceptual model,Domain specific language,Model based approach,Organisational decision making,Simulation,General Computer Science,General Mathematics
ISBN: 9783319947631
Last Modified: 10 Jul 2024 07:14
Date Deposited: 19 Sep 2018 07:29
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://link.sp ... 3-319-94764-8_5 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2018-07-08
Accepted Date: 2017-01-01
Authors: Barat, Souvik
Kulkarni, Vinay
Clark, Tony (ORCID Profile 0000-0003-3167-0739)
Barn, Balbir S.



Version: Accepted Version

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