Supply Chain 4.0

"Supply Chain 4.0 is currently generating major interest from industry and academic communities. This book will be extremely useful and relevant to academic researchers, practitioners and managers involved with these technologies. The editors have combined strong theoretical foundations with application to practice within each chapter by incorporating a plethora of technologies in relation to supply chain settings. Supply Chain 4.0 will pave the way for further academic and managerial thinking in this domain and become invaluable to students considering the critical, current and future role of supply chain technologies in contemporary business operations." * Professor Angappa Gunasekaran, Dean at School of Business and Public Administration, California State University, Bakersfield, USA *
"This book gives comprehensive insights into business analytics and supply chain modelling, while inspiring views and vision on future trends of supply chain analytics for both students and professionals engaged in the analysis of complex and rapidly changing supply chains. Nicoleta Tipi provides the reader with a practical view on how to utilize advances in supply chain analytics and modelling in order to tackle modern complex supply chain activities which is highly useful for companies to have a competitive edge." * Dr Sara Elgazzar, Dean of the College of International Transport and Logistics, Arab Academy for Science and Technology and Maritime Transport *
"This terrific book must read for both new and experienced professionals. It's practical and full of invaluable information. I wish I had this information when I was doing my PhD research." * Dr Georgakoudis Elias, CEO, Multi Pack S.A. *
"Supply chain complexity is increasing. As such, this is a well-timed book that captures the key issues associated with navigating, analyzing and evaluating data across the supply chain. It contains valuable insights that will be relevant to both practitioners and academics involved in supply chain management." * Professor Helen Rogers, Professor of International Management, Technische Hochschule Nürnberg *
"In this complex and rapidly changing time in supply chain management, in part due to the 4th industrial revolution, Nicoleta Tipi has provided logisticians and supply chain directors with insightful and comprehensive knowledge about measuring supply chain performance and business analytics. Put this book on your required-reading list, where you will learn data analytics, data visualization, and other models to meet future challenges. This book is a helpful guide to the supply chain modelling field, providing both coverage and detail." * Professor Khaled El Sakty, Dean of Faculty, Arab Academy for Science and Technology and Maritime Transport *
"I am very glad to see that Dr. Nicoleta Tipi has authored Supply chain analytics and modelling, which was much needed. This book will be of interest for students as well as practitioners who want to understand and improve their knowledge and capability on supply chain analytics and modelling." * Dr Ozlem Bak, Senior Lecturer in Operations Management, Brunel University London *
"Supply Chain Analytics and Modelling provides a solid foundation in business analytics. It connects data analysis and how it can be further integrated with supply chain modelling providing potential to improve the decision-making process within a supply chain context. Suitable for undergraduate as well as postgraduate level studies in supply chain modelling and business analysis." * Dr Ahmed Tarek El-Said, Senior Teaching Fellow, Warwick Manufacturing Group, University of Warwick *
"This version of Supply Chain Analytics and Modelling by Nicoleta Tipi provides a holistic view and deep insights about supply chain and its related concepts, bringing together valuable perspectives on its theoretical and practical application. Furthermore, the book also provides a very thoughtful inside on how to analyze data in the supply chain to obtain valuable business models and to develop proper strategies. The book is a must read for academics and practitioners dealing with the problems and challenges of data analysis in the supply chain." * Professor Dan-Cristian Dabija, Professor of Marketing, Babes-Bolyai University Cluj-Napoca *