Supporting organisational decision making in presence of uncertainty

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

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

Abstract

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
Pages34-43
Number of pages10
ISBN (Electronic)9781510847651
Publication statusPublished - 20 Sep 2017
Event29th European Modeling and Simulation Symposium, EMSS 2017 - Barcelona, Spain
Duration: 18 Sep 201720 Sep 2017

Conference

Conference29th European Modeling and Simulation Symposium, EMSS 2017
CountrySpain
CityBarcelona
Period18/09/1720/09/17

    Fingerprint

Keywords

  • Decision making
  • Organisational decision making
  • Uncertainty.

Cite this

Kulkarni, V., Barat, S., Clark, T., & Barn, B. S. (2017). Supporting organisational decision making in presence of uncertainty. In 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017 (pp. 34-43)