Supply Chain Analytics and Modelling: Quantitative Tools and Applications

by Nicoleta Tipi

Overview

An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models.

However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues.

Supply Chain Analytics and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.

Product Details

ISBN-13:	9780749498627
Publisher:	Kogan Page, Ltd.
Publication date:	04/27/2021
Pages:	328
Product dimensions:	6.50(w) x 9.53(h) x 1.18(d)

About the Author

Nicoleta Tipi is Senior Lecturer in Operations and Supply Chain at the Open University, UK. She was previously Senior Lecturer at the University of Huddersfield where she gained experience lecturing in the area of supply chain modelling and logistics operations. Nicoleta Tipi has considerable industry experience, having worked in different roles involving modelling and analytics for Unilever.

Table of Contents

** Chapter - 01: Introduction to business analytics; ** Chapter - 02: The role of modelling in the supply chain; ** Chapter - 03: The role of data in the supply chain; ** Chapter - 04: Big data and data visualization; ** Chapter - 05: Supply chain performance measurement systems; ** Chapter - 06: Business analytics models; ** Chapter - 07: Supply chain analytics; ** Chapter - 08: The future of supply chain analytics

Editorial Reviews

"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

"This terrific book is must reading 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

"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

"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

"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

"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

"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