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Inventory Analytics.

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...

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Bibliographic Details
Main Author: Rossi, Roberto.
Format: eBook
Language:English
Published: Cambridge, UK : Open Book Publishers, 2021.
Edition:1st ed.
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • Intro
  • Preface
  • Introduction
  • Inventory Systems
  • Introduction
  • 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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