TOWARDS ADAPTIVE ENTERPRISES USING DIGITAL TWINS

Vinay Kulkarni, Tony Clark, Souvik Barat

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

Abstract

Modern enterprises are large complex systems operating in highly dynamic environments thus requiring quick response to a variety of change drivers. Moreover, they are systems of systems wherein understanding is available in localized contexts only and that too is typically partial and uncertain. With the overall system behaviour hard to know a-priori and conventional techniques for system-wide analysis either lacking in rigour or defeated by the scale of the problem, the current practice often exclusively relies on human expertise for monitoring and adaptation. We present an approach that combines ideas from modeling & simulation, reinforcement learning and control theory to make enterprises adaptive. The approach hinges on the concept of Digital Twin - a set of relevant models that are amenable to analysis and simulation. The paper describes illustration of approach in two real world use cases.
Original languageEnglish
Title of host publicationProceedings of the 2019 Winter Simulation Conference
PublisherIEEE
Pages60-74
Number of pages15
ISBN (Electronic)978-172813283-9
DOIs
Publication statusPublished - 11 Dec 2019
EventWinter Simulation Conference 2019 - National Harbor, United States
Duration: 8 Dec 201911 Dec 2019

Conference

ConferenceWinter Simulation Conference 2019
CountryUnited States
CityNational Harbor
Period8/12/1911/12/19

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    Kulkarni, V., Clark, T., & Barat, S. (2019). TOWARDS ADAPTIVE ENTERPRISES USING DIGITAL TWINS. In Proceedings of the 2019 Winter Simulation Conference (pp. 60-74). IEEE. https://doi.org/10.1109/WSC40007.2019.9004956