Includes bibliographical references and index.

Half Title
Title
Copyright
Dedication
Contents
Examples included in this book by analytic technique
Examples included in this book by supply chain process
About the author
Foreword
Preface
Acknowledgments
1 Introduction to supply chain analytics
1.1 What you will learn in this chapter
1.2 Data science
1.3 Context
1.4 SC analytics components
1.5 SC partners and analytics
1.6 Why use this book? What is its value-add?
1.7 Review questions
1.8 Assignment topics
2 Supply chain analytics in practice
2.1 What you will learn in this chapter
2.2 Caterpillar vignette
2.3 DHL case study
2.4 What are SC analytics and why are they important?
2.5 Problem solving, decision-making and analytics
2.6 SC analytics relevance to service and manufacturing SCs
2.7 The SC analytics lifecycle
2.8 Overview of the four-process SCM framework
2.9 Overview of the three SC analytics categories
2.10 Worked example – analytics in-practice problem and solution
2.11 The ‘social’ dimension and its importance
2.12 Summary
2.13 Review questions
2.14 Assignment topics
3 Getting started with supply chain analytics
3.1 What you will learn in this chapter
3.2 Writing competent problem statements
3.3 What should be measured and how is the right measure identified?
3.4 Variables, variable types and how they relate to each other
3.5 Probability and Bayes’ theorem
3.6 Data collection, sampling and pre-processing
3.7 Data analysis
3.8 Presenting results of data analysis
3.9 Review questions
3.10 Assignment topics
4 Using supply chain analytics to enhance supply chain strategy processes
4.1 What you will learn in this chapter
4.2 SC strategy processes in detail
4.3 PESTLE analysis
4.4 Strengths, weaknesses, opportunities and threats (SWOT) analysis
4.5 State-of-play analysis
4.6 SC vision
4.7 SC purpose
4.8 SC goals
4.9 SC strategies
4.10 SC strategy alignment
4.11 SC strategy implementation planning
4.12 SC strategy risk analysis
4.13 Financial analysis of projects
4.14 Case study – using analytics to improve operations performance
4.15 Review questions
4.16 Assignment topics
5 Using supply chain analytics to enhance supply chain design processes
5.1 What you will learn in this chapter
5.2 SC design processes in detail
5.3 Basic statistics, deviation and compliance analysis applied to safety
5.4 Economic analysis applied to economic performance sustainability
5.5 Queuing theory applied to design of facility layouts
5.6 Simulation applied to SC physical design
5.7 Network models applied to SC physical design
5.8 Mathematical programming applied to design for economic performance
5.9 Case study – analytics applied to SC design processes
5.10 Review questions
5.11 Assignment topics
6 Using supply chain analytics to enhance supply chain execution processes
6.1 What you will learn in this chapter
6.2 SC execution processes in detail
6.3 Forecasting applied to order fulfilment planning
6.4 Theory of constraints applied to order fulfilment planning
6.5 Pull inventory management applied to order fulfilment
6.6 Constraint-based inventory management applied to order fulfilment
6.7 Statistical process control applied to order fulfilment
6.8 Logistics and flow models applied to order fulfilment
6.9 Inventory management applied to managing supplier performance
6.10 Supplier analysis – categorise supply base
6.11 Advanced SC partnership models
6.12 Markov forecasting methods
6.13 Case study – using analytics to improve demand forecasting
6.14 Review questions
6.15 Assignment topics
7 Using supply chain analytics to enhance supply chain people processes
7.1 What you will learn in this chapter
7.2 SC people processes in detail
7.3 Segmentation and clustering applied to SC culture
7.4 Regression models applied to suitability of leaders
7.5 Decision analysis applied to personnel decisions
7.6 Markov analysis applied to requisite organisation
7.7 Assignment models applied to requisite organisation
7.8 Case study – using analytics to improve SC people processes
7.9 Review questions
7.10 Assignment topics
8 How to deal effectively with organisational social issues
8.1 What you will learn in this chapter
8.2 How to convince managers to act on things that matter
8.3 Change management
8.4 Acceptance of SC analytics and analysts
8.5 Promotion of the SC analytics service offer
8.6 Interventions to improve negative organisational behaviour
8.7 Selling and engagement – the extended role of the business analyst
8.8 Case study – sometimes things go ‘off the rails’
8.9 Review questions
8.10 Assignment topics
Appendix
Index

Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key Supply Chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. 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. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter, worked examples illustrating how each analytic technique works, how it is applied and what to be careful of, tables, diagrams and equations to help 'visualise' the concepts and methods covered, chapter case studies, and end of chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading 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 also makes it valuable for operating Supply Chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions