Enterprise Digital Twin: An Approach to Construct Digital Twin for Complex Enterprises

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Author(s): Souvik Barat (TCS Research, Tata Consultancy Services, India)
Copyright: 2020
Pages: 22
Source title: Advanced Digital Architectures for Model-Driven Adaptive Enterprises
Source Author(s)/Editor(s): Vinay Kulkarni (TCS Research, Tata Consultancy Services, India), Sreedhar Reddy (TCS Research, Tata Consultancy Services, India), Tony Clark (Aston University, Birmingham, UK)and Balbir S. Barn (Middlesex University, London, UK)
DOI: 10.4018/978-1-7998-0108-5.ch004

Keywords: Business Science Reference / E-Business / E-Business Architecture / Knowledge Management and Library Science

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Abstract

Enterprises constantly aim to maximise their objectives while operating in a competitive and dynamic environment. This necessitates an enterprise to be efficient, adaptive, and amenable for transformation. However, understanding a complex enterprise and identifying effective control measure, adaptation choice, or transformation option to realise specific objective is not a trivial task. The digital twin that imitates the real enterprise provides an environment to conduct the necessary interrogative and predictive analyses to evaluate various control measures, adaptation choices, and transformation options in a safe and cost-effective manner without compromising the analysis precision. This chapter reflects on the core concept of the digital twin, evaluates the state-of-the-art modelling and analysis technologies, and presents a pragmatic approach to develop high-fidelity digital twin for large complex enterprises.

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Enterprise Digital Twin: An Approach to Construct Digital Twin for Complex Enterprises

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