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


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.

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Divisions: College of Engineering & Physical Sciences
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Event Title: Winter Simulation Conference 2019
Event Type: Other
Event Dates: 2019-12-08 - 2019-12-11
ISBN: 978-172813283-9
Last Modified: 08 Jul 2024 08:40
Date Deposited: 29 Aug 2019 14:47
PURE Output Type: Conference contribution
Published Date: 2019-12-11
Accepted Date: 2019-08-29
Authors: Barat, Souvik
Kulkarni, Vinay
Clark, Tony (ORCID Profile 0000-0003-3167-0739)
Barn, Balbir S.



Version: Accepted Version

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