Supply Chain And Operations Analytics
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Supply Chain and Operations Analytics
Author: Rabindranath Bhattacharya
language: en
Publisher: Routledge India
Release Date: 2025-03-05
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.
Supply Chain and Operations Analytics
Author: Rabindranath Bhattacharya
language: en
Publisher: Taylor & Francis
Release Date: 2025-06-11
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.
Production and Operations Analytics
Nahmias and Olsen skillfully blend comprehensive coverage of topics with careful integration of mathematics. The authors’ decades of experience in the field contributed to the success of previous editions; the eighth edition continues the long tradition of excellence. Clearly written, reasonably priced, with an abundance of expertly formulated practice problems and updated examples, this textbook is essential reading for analyzing and improving all facets of operations. Some of the material in the newest edition has been reorganized. For example, the first chapter introduces service strategy, the product/process matrix and flexible manufacturing systems, benchmarking, the productivity frontier, the innovation curve, and lean production as a strategy. The focus is slightly more international. The analysis of capacity growth planning now appears in the chapter on supply chain analytics. Aggregate planning details were added to chapter 3, including chase and level strategies in an appendix to the chapter. There is an expanded discussion on risk pooling in the chapter on supply chain strategy. The mechanics behind lean production are included in the chapter on push and pull production systems. The chapter on quality and assurance downplays sampling in favor of discussions of quality management, process capability, and the waste elimination side of lean. The separate chapter on facilities layout and location was eliminated and the information redistributed throughout the text. The authors reinforce the learning process through key points at the beginning of each chapter to guide the reader, snapshots that provide useful examples of applications to businesses, and historical notes that provide a context for the topics discussed. Production and Operations Analytics, 8/e provides the tools for adapting to the dynamic global marketplace.