Overview

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.

Full Product Details

Author:   R. K. Amit ,  Kulwant S. Pawar ,  R. P. Sundarraj ,  Svetan Ratchev
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Weight:   0.588kg
ISBN:  

9789811970702

ISBN 10:   981197070
Pages:   265
Publication Date:   02 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Part I: Technological Foundations Professor Ted Lirn  National Taiwan Ocean University Taiwan Professor Raj Roy  City University of London  UK Professor Serzio Terzi  Politecnico di Milano  Italy Professor Marco Taisch  Politecnico di Milano  Italy Professor G Saravana Kumar IIT Madras India Dr  U Chandrasekhar Wipro 3D India Professor N Arunachalam IIT Madras India Part II: Business Models Professor Helen Rogers Technical University of Nuremberg Georg Simon Ohm Germany Professor Fiona Lettice University of East Anglia UK Professor Tim Baines Aston Business School UK Professor M Naim Cardiff Business School UK Professor Petri Pulli University of Oulu Finland Professor P Wolf University of Southern Denmark Denmark Professor E Ferrari University of Insubria Italy Ramachandran S & Jeff Kavanaugh Infosys Knowledge Institute India/USA Professor L Prakash Sai IIT Madras India Part III: Cross-country Comparisons Professor Shams Rahman RMIT University Australia Professor Amrik Sohal Monash University Australia Dr J Srai University of Cambridge (Dept. of Eng. Institute for Manufacturing (IfM)) UK Professor Vinod Singhal Georgia Institute of Technology (Scheller College of Business ) USA Professor Min Zhang Queen's Management School Ireland Professor C Tang UCLA (Anderson School of Management) USA Professor Ravi Shankar IIT Delhi India Part IV: Evaluation Approaches and Readiness Assessment Dr Gavin, Lai University of Nottingham Ningbo China China Professor X Zhao CEIBS-GLP Centre for Innovation in Supply Chains and Services China Professor N Subramanian University of Sussex Business School UK Professor KD Thoben University of Bremen Germany Professor M K Tiwari IIT Kharagpur/NITIE India Dr Shankar Venugopal Mahindra & Mahindra India

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Author Information

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.

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