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Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of their effective use in the improvement of supply chain process performance. By describing four-key supply chain processes, and illustrating, through worked examples, how the descriptive, predictive and prescriptive analytic methods 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 and issues are addressed, including the capriciousness of modern era supply chain operating environments, the imperative that is supply chain sustainability, the need for heightened supply chain risk management, the building of supply chain resilience, the pursuit of supply chain optimisation, the use of big data, data mining, cloud computing, machine learning, artificial intelligence (AI), and importantly the social issues confronting supply chain analysts in carrying out their work. 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 performance improvement and growth of competitive advantage. 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, end-of-chapter case studies, 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 leaders, and supply chain and operations management professionals. Its practice-based and applied approach also makes it valuable for teaching academics, organisational trainers and coaches, operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, worked examples using Excel, and a test bank of exam questions.

Using Data to Optimise Supply Chain Processes - Peter W. Robertson
Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management.
Using Data To Optimise Supply Chain Processes - Getmybooks
Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management.
Supply Chain Planning and Analytics: The Right Product in the Right .
Every company must continually wrestle with the problem of deciding the right quantity and mix of products or services that it should produce as well as .
Using Data to Optimise Supply Chain Processes
Summary: Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of their effective use in the improvement of .
Supply Chain Analytics: Concepts, Techniques and Applications
This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, .
Supply Chain Analytics : Concepts, Techniques and Applications
This innovative new core textbook, written by an experienced professor and practitioner in supply chain management, offers a business-focused overview of .
Supply Chain Analytics: An Uncertainty Modeling Approach .
This book blends some traditional and novel theories of operations management and business analytics to address how to manage uncertainties in supply chains. It .
Supply chain analytics examples – 18 modern use cases
Modern supply chain analytics, a transformative approach that harnesses the power of data-driven insights, has become a true game-changer in the field. The .
using data to optimise supply chain processes / › Koha online catalog
Supply chain analytics : using data to optimise supply chain processes / By Peter W RObertson. ; Description: xx,298p. ; PB 23 cm ; ISBN: 9781032296067 ; Subject(s):.
Supply Chain Data Analytics for Efficient Operations - Intellisoft
So what is supply chain analytics? Well, with newer, better ways to analyze data, we can now gather and make sense of data from all over the .

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