Advances in Digital Manufacturing Systems: Technologies, Business Models, and Adoption

R. K. Amit · Kulwant S. Pawar · R. P. Sundarraj · Svetan Ratchev

2023年1月 · Springer Nature

關於這本電子書

This book contains contemporary discussions on technology, business models, and the adoption of digital manufacturing systems. The book's initial chapters cover technological details underpinning the digital manufacturing systems, for example, cyber-physical systems and digital twins. Next, the book discusses how organizations modify their business models using concepts such as servitization and platforms to leverage digital manufacturing. The latter chapters focus on how a country's unique economic and infrastructural context influences digital manufacturing adoption in terms of technology and business models and frameworks to evaluate readiness for digital manufacturing. With perspectives from different continents, the book appeals to academic researchers and industry alike.

關於作者

R K Amit is a Professor at Department of Management Studies, IIT Madras. He heads Decision Engineering & Pricing (DEEP) Lab that specializes in engineering the best decisions using the wisdom from game theory & mechanism design, optimization, and pricing with applications in operations management and manufacturing.

R P Sundarraj is a Professor at Department of Management Studies, IIT Madras and works on using behavioral economics and optimization modeling for various application areas such as cloud computing, technology adoption and supply chain.

Kulwant S Pawar is a professor with University of Nottingham's Business School and works in the area of comparative analysis of logistics & supply chain networks and the interplay between emerging technologies (such as 3DP & Digital Manufacturing) on supply chain operations and business models.

Svetan Ratchev is Director of the Institute for Advanced Manufacturing and head of the Nottingham Centres for Aerospace Manufacturing and Precision Manufacturing. His expertise includes manufacturing systems, assembly automation, process modelling and simulation, manufacturing informatics and precision manufacture.