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

Barat, Souvik, Kulkarni, Vinay, Clark, Tony and Barn, Balbir ORCID: https://orcid.org/0000-0002-7251-5033 (2019) An actor based simulation driven digital twin for analyzing complex business systems. In: Winter Simulation Conference 2019 - Simulation for Risk Management, 08-11 Dec 2019, Gaylord National Resort & Conference Center, National Harbor, Maryland. (Accepted/In press)

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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.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 27284
Notes on copyright: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Balbir Barn
Date Deposited: 05 Aug 2019 10:25
Last Modified: 06 Sep 2019 21:17
URI: https://eprints.mdx.ac.uk/id/eprint/27284

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