
Supply Chain and Operations Analytics
Areas, Analytics, Formulations and Results
- 580 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Supply Chain and Operations Analytics
Areas, Analytics, Formulations and Results
About this book
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.
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Information
Table of contents
- Cover Page
- Half Title page
- Title Page
- Copyright Page
- Dedication
- Contents
- Figures
- Tables
- Abbreviations
- Acknowledgements
- Foreword by Gautam Sinha
- Foreword by Kunal Kanti Ghosh
- Authors
- Introduction
- 1 Understanding the Supply Chain and Operations Management
- 2 Inventory Analytics
- 3 Sourcing Analytics
- 4 Production Planning Analytics
- 5 Production Control Analytics
- 6 Data Mining and Aggregation Analytics
- 7 Transportation and Network Planning Analytics
- 8 Location and Network Design Analytics
- 9 Simulation Analytics
- 10 Remanufacturing Analytics: The Way Forward
- Epilogue
- Appendix Supply Chain Success Stories
- Index