Supply Chain and Operations Analytics
Areas, Analytics, Formulations and Results
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Product details:
- Edition number 1
- Publisher Routledge India
- Date of Publication 6 June 2025
- ISBN 9781032626536
- Binding Paperback
- No. of pages684 pages
- Size 234x156 mm
- Language English
- Illustrations 467 Illustrations, black & white; 467 Halftones, black & white; 147 Tables, black & white 700
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Short description:
This book presents 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.
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Long description:
This book presents 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, this 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. This book synthesizes a collection of models in all the areas of supply chain like Sourcing, Inventory, Production planning and control, forecasting of demand, Transportation, Network planning and Design, Data aggregation and mining and return of products in the context of both formulation and solution of the problems in each area using suitable software and Excel Solver for the ease of understanding. Use of simulation, stochastic and system design models are added attractions of the book.
This book will be useful to the 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 make better supply chain decisions.
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Table of Contents:
1. Understanding 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 - Way Forward Epilogue Appendix
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