Inventory Analytics 1st Edition by Roberto Rossi ISBN 1800641761 9781800641761

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ISBN 10: 1800641761
ISBN 13: 9781800641761
Author: Roberto Rossi

Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control.

Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike.

Inventory Analytics 1st Edition Table of contents:

The role of inventory in supply chain management
A simple inventory system
Inventory costs
Deterministic supplier lead time
Deterministic Inventory Control
Introduction
Accounting for costs
The Economic Order Quantity
Quantity discounts
Planned backorders in the EOQ
Finite production rate: The Economic Production Quantity
Production on a single machine: The Economic Lot Scheduling
Synchronising production: The Joint Replenishment Problem
Time-varying demand: Dynamic Lot Sizing
Planned backorders in Dynamic Lot Sizing
Order quantity capacity constraints in Dynamic Lot Sizing
Demand Forecasting
Introduction
Time series
Four simple forecasting methods
Naïve method
Drift method
Seasonal Naïve method
Evaluating forecasting accuracy
Prediction Intervals
Box-Cox transformations
Exponential Smoothing
ARIMA models
Stochastic Inventory Control
Introduction
The Newsvendor
Service level constraints in inventory systems
Simulating stochastic inventory systems
The multi-period Newsvendor
The base-stock policy
The modified base-stock policy
The (s,S) policy
The modified (s,S) policy
Nervousness of control
The (R,S) policy
The (s,Q) policy
The (R,Q) policy
The (R,s,S) policy
Multi-echelon Inventory Systems
Introduction
Serial systems
Assembly systems
Distribution systems
General systems
Appendix
Introduction
Poisson processes
Discrete Event Simulation
Stochastic Dynamic Programming
Bibliography
Index

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