- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
This reference text resolves problems of physical products, information, and financial transactions by using mathematical and statistical tools to provide robust and validated solutions to real-world problems of the supply chain. It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.
This book:
- Discusses inventory replenishment models including economic order quantity (EOQ), and economic production quantity (EPQ).
- Explains different mathematical and analytical models applied frequently depending on the supply chain problem.
- Covers important topics such as linear, integer, and mixed integer programming.
- Demonstrates how the variation in demand with time follows certain patterns which can be seasonal, cyclical, trend, and random.
- Highlights forecasting methods, namely, cumulative, naive, moving averages, and exponential smoothing.
It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, supply chain management, mechanical engineering, and production engineering.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Supply Chain Analytics by Vikas Singla in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half-Title
- Title
- Copyright
- Contents
- Preface
- About the author
- 1 Supply chain management
- 2 Deterministic models
- 3 Predictive models
- 4 Forecasting
- 5 Inventory management: Deterministic demand
- 6 Inventory management: Stochastic demand
- 7 Freight transportation
- Index