Supply Chain Analytics: Using Data to Optimise Supply Chain Processes

Supply Chain Analytics provides a comprehensive learning experience for students of supply chain analytics, leadership, and operations management, covering key topics such as optimization, big data, data mining, and cloud computing. It offers a practice-based and applied approach, with online resources including PowerPoint slides, tutorial exercises, written assignments, and a test bank of exam questions.

Format: Paperback / softback
Length: 298 pages
Publication date: 26 November 2020
Publisher: Taylor & Francis Ltd

Supply Chain Analytics is an essential guide for anyone looking to gain a deeper understanding of data analytics and its invaluable role in supply chain management. Through comprehensive and engaging explanations, the book provides readers with a comprehensive learning experience that goes beyond what has been offered previously.

The book begins by introducing the key supply chain processes through worked examples, allowing readers to gain a practical understanding of how analytics can be applied to improve these processes. It then delves into the various descriptive, predictive, and prescriptive analytic methods that can be used to enhance supply chain performance.

One of the key strengths of the book is its focus on optimization, big data, data mining, and cloud computing, which are increasingly important in today's supply chain landscape. The author identifies four core supply chain processes – strategy, design, execution, and people – to which the analytic techniques explained can be applied to ensure continuous improvement.

Throughout the text, pedagogy is incorporated to aid learning. Each chapter begins with an opening section that outlines the learnings designed for that chapter. Working examples are provided to illustrate how each analytic technique works, how it is applied, and what to be cautious of. Tables, diagrams, and equations are used to visually represent the concepts and methods covered, making the text more accessible and engaging. Chapter case studies and end-of-chapter review questions and assignment tasks help reinforce the learning and encourage readers to apply what they have learned.

This textbook is designed for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach makes it valuable for operating supply chain practitioners as well as those studying for professional qualifications.

In addition to the text, online resources are available to supplement the learning experience. Chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, and a test bank of exam questions are provided to support the learning process and help readers prepare for exams.

In conclusion, Supply Chain Analytics is a must-read for anyone looking to enhance their understanding of data analytics and its application in supply chain management. With its comprehensive coverage of key topics, engaging pedagogy, and valuable online resources, the book provides a solid foundation for anyone seeking to excel in this field.

Weight: 622g
Dimension: 175 x 246 x 21 (mm)
ISBN-13: 9780367540067