Supply Chain and Operations Analytics: Areas, Analytics, Formulations and Results [Hardcover]

This book presents the concepts, strategies and decision-making processes of supply chain and operations management through simple to advanced analytics. It provides the tools necessary to comprehend supply chain and operations management, quantitatively and analytically, through exercises and examples.

Using accessible quantitative models, the volume provides a unified framework for supply chain analytics for products  right from sourcing to manufacturing to delivery and remanufacturing, which closes the supply chain. The book synthesizes a collection of models in all areas of the supply chain  such as sourcing, inventory, production planning and control, forecasting of demand, transportation, network planning and design, data aggregation and mining, and the return of products  in the context of both the formulation and solution of the problems in each area using suitable software and Excel Solver for ease of understanding. The use of simulation and stochastic and system design models are added attractions of the book.

This book will be useful to students, researchers and faculty working in the field of supply chain management, operations management and industrial engineering, both at graduate and research levels. It will also be an invaluable companion to consultants and practitioners, working with models and modelling systems, helping them to make better supply chain decisions.

List of Figures ix List of Tables xxi List of Abbreviations xxiv Acknowledgements xxvi Foreword by Gautam Sinha xxviii Foreword by Kunal Kanti Ghosh xxix Authors xxx Introduction xxxii 1 Understanding the Supply Chain and Operations Management 1 2 Inventory Analytics 51 3 Sourcing Analytics 121 4 Production Planning Analytics 185 5 Production Control Analytics 249 6 Data Mining and Aggregation Analytics 323 7 Transportation and Network Planning Analytics 387 8 Location and Network Design Analytics 440 9 Silz