A domain specific language for complex dynamic decision making

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

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

Abstract

Effective decision making of organisation requires deep understanding of various organisational aspects such as its goals, structure, business-as-usual operational processes in the context of dynamic, socio-technical and uncertain business environment. Decision making approaches adopt a range of modelling and analysis techniques for effective decision making. The current state-of-practice of decision-making typically relies heavily on human experts using intuition aided by ad-hoc representation of an organisation. Existing technologies for decision making are not able to represent all constructs that are needed for effective decision making nor do they comprehensively address the analysis needs. This paper proposes a meta-model to represent organisation and decision artifacts in a comprehensive, relatable and analysable form that serves as a basis for a domain specific language (DSL) for complex dynamic decision making. The efficacy of the proposed meta-model as regards specification and analysis is evaluated using a real-life scenario.

Original languageEnglish
Title of host publication31st Annual European Simulation and Modelling Conference 2017, ESM 2017
PublisherEUROSIS
Pages135-142
Number of pages8
ISBN (Electronic)9789492859006
Publication statusPublished - 27 Oct 2017
Event31st Annual European Simulation and Modelling Conference, ESM 2017 - Lisbon, Portugal
Duration: 25 Oct 201727 Oct 2017

Conference

Conference31st Annual European Simulation and Modelling Conference, ESM 2017
CountryPortugal
CityLisbon
Period25/10/1727/10/17

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Keywords

  • Conceptual model
  • Domain specific language
  • Organisational decision making
  • Simulation model

Cite this

Barat, S., Clark, T., Kulkarni, V., & Barn, B. S. (2017). A domain specific language for complex dynamic decision making. In 31st Annual European Simulation and Modelling Conference 2017, ESM 2017 (pp. 135-142). EUROSIS.