Supporting organisational decision making in presence of uncertainty

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

Research output: Chapter in Book/Published conference outputConference publication


Effective organizational decision-making often requires deep understanding of various aspects of an organisation such as goals, structure, business-As-usual operational processes etc. The large size of the organisation, its socio-Technical characteristics, and fast business dynamics make this a challenging endeavor. Current industry practice relies on human experts thus making organisational decision-making time-, effortand intellectually-intensive. This paper proposes a simulatable language capable of specifying the relevant aspects of enterprise in a machine-processable manner so as to support simulation-driven decision-making in presence of uncertainty. A possible implementation of the language is outlined. Validation of the proposed approach using a real-life example is discussed.

Original languageEnglish
Title of host publication29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
Number of pages10
ISBN (Electronic)9781510847651
Publication statusPublished - 20 Sept 2017
Event29th European Modeling and Simulation Symposium, EMSS 2017 - Barcelona, Spain
Duration: 18 Sept 201720 Sept 2017


Conference29th European Modeling and Simulation Symposium, EMSS 2017


  • Decision making
  • Organisational decision making
  • Uncertainty.


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