Digital Twins in Flexible Industrial Production and Smart Manufacturing: Case Study on Intelligent Logistics and Supply Chain Management: An Understanding of Principles, Enhancers, and Obstacles

Jeyalakshmi, S. and Prasanth, A. and Yogeshwari, M. and Elngar, Ahmed A. (2024) Digital Twins in Flexible Industrial Production and Smart Manufacturing: Case Study on Intelligent Logistics and Supply Chain Management: An Understanding of Principles, Enhancers, and Obstacles. In: Digital Twins in Industrial Production and Smart Manufacturing. Wiley, pp. 161-172. ISBN 9781394195336

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Abstract

As the Internet of Things (IoT) is growing in popularity, the concept of a digital twin (DT) has garnered a lot of focus. A DT digital twins is an identical copy of a real‐world object or process that exists only in code. Reduced waiting times in the supply chain are only one of the many benefits of these technologies, which also help foster a more agile and responsive industrial setting. Recent applications of reinforced machine learning (ML) in logistics and production systems have resulted in the creation of a prescriptive decision support platform or a more efficient, intelligent, and flexible manufacturing infrastructure. In this chapter, the role of DT in adaptive manufacturing environments will be investigated. Case studies on intelligent supply chain management and logistics are also covered. Organizing and systematizing the existing research is essential for gaining a comprehensive understanding of the current trend & and future research direction from an Industry 4.0 viewpoint.

Item Type: Book Section
Subjects: Information Technology > Discrete Structures
Domains: Information Technology
Depositing User: Mr IR Admin
Date Deposited: 23 Aug 2025 07:05
Last Modified: 23 Aug 2025 07:05
URI: https://ir.vistas.ac.in/id/eprint/10364

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