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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Place / Publishing House: | Cambridge, UK : : Open Book Publishers,, 2021. ©2021. |
Year of Publication: | 2021 |
Edition: | 1st ed. |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (186 pages) |
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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.