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Business Analytics for Supply Chains and Operations provides a concise and practical guide to solving management science problems analytically, with a special focus on supply chain challenges. It equips readers with essential tools and techniques to enhance business efficiency and decision-making.
This book empowers readers to analyse business efficiency, define challenges logically, and apply operational research methods to solve problems. It introduces readers to classical and state-of-the-art techniques, including mathematical programming, network flows, transportation models, inventory models, queueing systems, and optimisations. Numerous examples and problem solutions are provided to demonstrate real-world applications, ensuring that readers can translate theoretical concepts into actionable strategies. The book's emphasis on prescriptive analytics equips readers with the ability to devise solutions and algorithms that offer competitive advantages to businesses. Clear explanations, practical exercises, and visual aids make complex topics accessible, while the inclusion of case studies ensures relevance to contemporary business scenarios.
Designed for postgraduate and advanced undergraduate students in business degrees, as well as professional business managers, this book is ideal for courses such as Operational Analytics, Business Analytics, Supply Chain Analytics, Management Science, and Advanced Business Analytics.
The book is supported by online materials such as PowerPoint slides, a test bank of exam questions, a coursework specification, and links to YouTube video tutorials. The book includes computer lab specifications with step-by-step solutions for all technical chapters.
List of contents
Chapter 1 Introduction. Chapter 2 Modelling. Chapter 3 Optimisation Fundamentals. Chapter 4 Transportations Models. Chapter 5 Network Flows. Chapter 6 Optimisations. Chapter 7 Probability and Statistics. Chapter 8 Inventory Models. Chapter 9 Queueing Systems. Chapter 10 Discrete Event Simulation.
About the author
Wolfgang Garn is Associate Professor in Analytics at the University of Surrey. He works at the intersection of Business Analytics, Operations Research, and Artificial Intelligence, combining academic insight with practical relevance. His teaching and research focus on optimisation, simulation, and explainable AI, with a particular emphasis on creating transparent, real-world solutions for complex operational problems. Drawing on experience from both academia and industry, Wolfgang is committed to making Management Science accessible, rigorous, and impactful. This book reflects his passion for blending analytical thinking with practical application.
