Innovation Analytics: Tools For Competitive Advantage

Innovation analytics is an emerging paradigm that integrates information/knowledge, analytics, digital twins and artificial intelligence to support and manage the entire lifecycle of a product and process from inception, through engineering design and manufacture, to service and disposal of manufactured products. Innovation analytics is set to become an integral part of the innovation lifecycle to help make smart, agile decisions and accelerate business growth. Innovation Analytics: Tools for Competitive Advantage provides a comprehensive overview of the challenges and opportunities behind the latest research surrounding technological advances driving innovation analytics; the transition of analytical ideas to interdisciplinary teams; the development of deep synchronicity of skills and production innovation; and the use of innovation analytics in multiple stages of product and process evolution. In exploring the impact of emerging developments in the current climate, researchers and academics will be able to gain insight into real-world usage of analytics for innovation and its contribution toward society. As such, students, scientists, engineers, academics, and management professionals alike will find this title beneficial.

Professor Nachiappan Subramanian (Nachi) has twenty-four years of experience, with twenty-two years in academia and two years in a consulting company. He is Professor of Operations and Logistics Management at the University of Sussex Business School and is a Fellow of Chartered Institute of Logistics and Transport (CILT), UK. To date, Nachi has published more than 101 peer reviewed refereed journal articles and secured and successfully completed projects worth £548,370. His research areas are sustainable supply chains (environmental and social/humanitarian issues), risk and resilience, technology-enabled operations and marketing interfaces, and performance measurement. As a teacher, Nachi is a Senior Fellow of Higher Education Academy, UK, and has written several books, book chapters and cases. His case titled "Supply Chain Optimization at Madurai Aavin Milk Dairy" has been reported as the second largest selling Harvard cases in India. Nachi has co-authored and co-edited multiple books, including: Blockchain and Supply Chain Logistics: Evolutionary Case Studies (Palgrave Macmillan, 2020) with A Chaudhri and Y Kayıkcı; Supply Chain Management in the Big Data Era (IGI Global, 2017) with H K Chan and M D Abdulrahman; and Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains (IGI Global, 2019) with S G Ponnambalam, M K Tiwari and W A Yusoff.

Professor S G Ponnambalam has thirty-eight years of experience with thirty-six years in academia and two years in a manufacturing company as Production Engineer. He is currently a Professor at the School of Mechanical Engineering at VIT University, India. He has previously served as a full Professor at the Faculty of Manufacturing & Mechatronics Engineering Technology at University Malaysia Pahang and at the School of Engineering at the Monash University Malaysia. He is a Fellow of the Institution of Mechanical Engineers (UK) and a Chartered Engineer registered with the Engineering Council, UK. He is also a senior member of IEEE, USA. His areas of expertise include manufacturing, supply chain management, optimization, and swarm robotics. Professor Ponnambalam edited Industry 4.0 and Hyper-Customized Smart Manufacturing Supply Chains (IGI Global, 2019) with N Subramanian, M K Tiwari, and W A Yusoff. He has published over three hundred articles in various refereed journals, conferences, and chapters in edited books.

Mukund Janardhanan is a Lecturer in Engineering Management at the University of Leicester, UK. He graduated with a PhD in Manufacturing Optimization from Monash University in 2015. Prior to joining the University of Leicester, he was a postdoctoral fellow at Aalborg University, Denmark and has also worked in product development in an Engineering Design company. He has published over forty articles in reputed journals and conferences. His research interests include Industry 4.0, manufacturing system optimization and simulation. He has edited special issues in reputed international journals and has served as programme committee members of reported international conferences. He has supervised several postgraduate student projects in collaboration with industries in UK and Denmark. Mukund is a fellow of Higher Education Academy, UK.