Amit / Pawar / Sundarraj Advances in Digital Manufacturing Systems

Technologies, Business Models, and Adoption
1. Auflage 2023
ISBN: 978-981-19-7071-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 265 Seiten, eBook

Reihe: Business and Management (R0)

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.

Zielgruppe

Research

Autoren/Hrsg.

Amit, R. K.

Pawar, Kulwant S.

Sundarraj, R. P.

Ratchev, Svetan

Inhaltsverzeichnis

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

Über Autor(innen)

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.