A model based approach for complex dynamic decision-making

Souvik Barat*, Vinay Kulkarni, Tony Clark, Balbir S. Barn

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationModel-Driven Engineering and Software Development - 5th International Conference, MODELSWARD 2017, Revised Selected Papers
PublisherSpringer
Pages94-118
Number of pages25
ISBN (Print)9783319947631
DOIs
Publication statusPublished - 8 Jul 2018
Event5th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017 - Porto, Portugal
Duration: 19 Feb 201721 Feb 2017

Publication series

NameCommunications in Computer and Information Science
Volume880
ISSN (Print)1865-0929

Conference

Conference5th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017
CountryPortugal
CityPorto
Period19/02/1721/02/17

Fingerprint

Complex Dynamics
Decision making
Decision Making
Model-based
Machinery
Outsourcing
Industry
Metamodel
Modeling
Business Process
Uncertainty
Simulation
Abstraction

Bibliographical note

© 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

Keywords

  • Conceptual model
  • Domain specific language
  • Model based approach
  • Organisational decision making
  • Simulation

Cite this

Barat, S., Kulkarni, V., Clark, T., & Barn, B. S. (2018). A model based approach for complex dynamic decision-making. In Model-Driven Engineering and Software Development - 5th International Conference, MODELSWARD 2017, Revised Selected Papers (pp. 94-118). (Communications in Computer and Information Science; Vol. 880). Springer. https://doi.org/10.1007/978-3-319-94764-8_5
Barat, Souvik ; Kulkarni, Vinay ; Clark, Tony ; Barn, Balbir S. / A model based approach for complex dynamic decision-making. Model-Driven Engineering and Software Development - 5th International Conference, MODELSWARD 2017, Revised Selected Papers. Springer, 2018. pp. 94-118 (Communications in Computer and Information Science).
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Barat, S, Kulkarni, V, Clark, T & Barn, BS 2018, A model based approach for complex dynamic decision-making. in Model-Driven Engineering and Software Development - 5th International Conference, MODELSWARD 2017, Revised Selected Papers. Communications in Computer and Information Science, vol. 880, Springer, pp. 94-118, 5th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017, Porto, Portugal, 19/02/17. https://doi.org/10.1007/978-3-319-94764-8_5

A model based approach for complex dynamic decision-making. / Barat, Souvik; Kulkarni, Vinay; Clark, Tony; Barn, Balbir S.

Model-Driven Engineering and Software Development - 5th International Conference, MODELSWARD 2017, Revised Selected Papers. Springer, 2018. p. 94-118 (Communications in Computer and Information Science; Vol. 880).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Barat S, Kulkarni V, Clark T, Barn BS. A model based approach for complex dynamic decision-making. In Model-Driven Engineering and Software Development - 5th International Conference, MODELSWARD 2017, Revised Selected Papers. Springer. 2018. p. 94-118. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-94764-8_5