£55.99
Supply Chain Analytics
Principles and Applications
Problem Resolution and Mathematical Tools
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.
Key Concepts Discussed
It further discusses important concepts such as supply chain segmentation, constrained and unconstrained optimization, time series analysis, double exponential smoothing, and demand probability distributions.
Inventory Replenishment Models
This book: Discusses inventory replenishment models including economic order quantity (EOQ), and economic production quantity (EPQ).
Mathematical and Analytical Models
Explains different mathematical and analytical models applied frequently depending on the supply chain problem.
Topics Covered
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.
Target Audience
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.
