An actor based simulation driven digital twin for analyzing complex business systems

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

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

Abstract

Modern enterprises aim to achieve their business goals while operating in a competitive and dynamic environment. This requires that these enterprises need be efficient, adaptive and amenable for continuous transformation. However, identifying effective control measures, adaptation choices and transformation options for a specific enterprise goal is often both a challenging and expensive task for most of the complex enterprises. The construction of a high-fidelity digital-twin to evaluate the efficacy of a range of control measures, adaptation choices and transformation options is considered to be a cost effective approach for engineering disciplines. This paper presents a novel approach to analogously utilise the concept of digital twin in controlling and adapting large complex business enterprises, and demonstrates its efficacy using a set of adaptation scenarios of a large university.
Original languageEnglish
Title of host publicationProceedings of the 2019 Winter Simulation Conference
PublisherIEEE
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

Publication series

Name
PublisherIEEE
ISSN (Electronic)0891 7736

Conference

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

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Cite this

Barat, S., Kulkarni, V., Clark, T., & Barn, B. S. (2019). An actor based simulation driven digital twin for analyzing complex business systems. In Proceedings of the 2019 Winter Simulation Conference IEEE. https://doi.org/10.1109/WSC40007.2019.9004694