Exploring digital twins: Attributes, challenges and risks

Title

Exploring digital twins: Attributes, challenges and risks

Creator

Ramakrishnan N.; Meenakumari J.

Description

The recent approach to digitalization and digital transformation is based on the focus of every industry to develop systems and practices for optimizing the operational phase of the product lifecycle and beyond. Digital twins have become the buzzword in the domain of digital transformation. These Digital twins, which are a virtual representation of real-world occurrences such as processes, services, or products offer a new perspective to digitalization. It has emerged from Industry 4.0 and involves a mapping of the real physical world and the virtual world through Digital Twinning. Artificial Intelligence, Cryptography, Blockchain, Big Data technologies, and IoT act as technology enablers for Digital Twins. The capability of Digital Twin is its ability to cater to diverse applications. Within a decade, it has penetrated deeply into every functional aspect of business right from Patient Health Information Systems to remote control and maintenance of satellites/ space stations and to agriculture. This chapter has a focus on the key attributes, challenges, and risk factors that pertain to digital twin technologies and provides adequate examples from diverse sectors. The key challenges of digital twin technologies include Modeling the unknown, Transparency, Interpretability, Interactions with physical assets, Large-scale computation, Physical realism, Future projections, Data management, Privacy, Security and Quality. The four facets of risks related to Digital Twins include restrictions in access to system resources, theft of intellectual property, lack of compliance, and integrity issues in data/information. Hence, additional efforts and a holistic approach towards privacy and security are required to manage these risks. The holistic approach should cover hardware, software, and firmware together with the information that passes between them. Further, it is required to ensure that system, assets and data are adequately protected. Digital Twin technologies provide enormous competitive advantage for an organization, and a more pragmatic approach for mitigation of risks associated with digital twins is required. This would involve co-creation of Digital Twins with clients along with combined extensive knowledge of physical assets, disruptive technologies and appropriate security measures. 2023 Nova Science Publishers, Inc. All rights reserved.

Source

Digital Twins: The Industry 4.0 Use Cases: The Technologies, Tools, Platforms and Applications, pp. 38-60.

Date

2023-01-01

Publisher

Nova Science Publishers, Inc.

Subject

Attributes; Digital transformation; Digital twin; Digitalization; Industry 4.; Risk factors

Coverage

Ramakrishnan N., Lean Operations and Systems, School of Business and Management, CHRIST Deemed to be University, Bangalore, India; Meenakumari J., Edexeducom, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 979-889113057-9

Format

Online

Language

English

Type

Book chapter

Identifier

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173709322&partnerID=40&md5=c5f1b29592a1a2fd9eaf6b10be694e70