【在庫管理における問題と解決策】
Problems & Solutions in Inventory Management 1st ed. 2018 H 203 p. 17
Shenoy, Dinesh, Rosas, Roberto 著
目次
1. Inventory Management – an Overview 1.1. History of Inventory Management 1.2. Structure of the book 2. Basics of Inventory Management 2.1. Introduction to the Tortilla Case Study 2.2. What is Inventory 2.3. Types of Inventory 2.4. Need for Inventory 2.5. The Inventory Management Problem 2.6. Cost parameters and computation 2.7. Inventory Model and Policies 2.8. Case Study & numerical problems with answers 3. Deterministic Inventory Model 3.1. Introduction (with reference to case study) 3.2. The General EOQ Model 3.3. Inventory Model with Planned Shortages / backordering 3.4. Inventory Model with finite replenishment rate 3.5. Inventory Model with shortages (lost business) 3.6. Case Study & numerical problems with answers 4. Dynamic Inventory Model (Quantity Discount) 4.1. Introduction (with reference to case study) 4.2. Complete Order / All Units discount 4.3. Incremental discount 4.4. Special Order Quantity/One-off Discount 4.5. Case Study & numerical problems with answers 5. Lot Sizing Heuristics 5.1. Introduction (with reference to case study) 5.2. Lot for Lot 5.3. Part Period Balancing 5.4. Silver Meal 5.5. Least Unit Cost 5.6. Wagner-Whitin 5.7. Case Study & numerical problems with answers 6. Multi-Item Inventory Models 6.1. Introduction (with reference to case study) 6.2. Inventory Model with Budget Constraint 6.3. Inventory Model with Space Constraint 6.4. Inventory Model with Number of Orders Constraint 6.5. Inventory Model with Coordinated Supply 6.6. Case Study & numerical problems with answers 7. Stochastic Inventory Models 7.1. Introduction (with reference to case study) 7.2. Modelling variable Demand 7.3. Computing Lot-size & Reorder Point (Q,R) 7.4. Modelling variable Lead Time 7.5. Applying Service Levels, computing safety stock 7.6. Single Period (News Vendor) Inventory Problem 7.7. Case Study & numerical problems with answers 8. Selective Inventory Management 8.1. Introduction 8.2. Need for Selective Inventory Management 8.3. ABC, VED & FSN Analysis 8.4. Case Study & numerical problems with answers 9. Multi-Echelon Inventory Models 9.1. Introduction 9.2. Simple Warehouse-Retailer Model under certainty – Constant Demand 9.3. Simple Warehouse-Retailer Model under certainty – Time Varying Demand 9.4. Simple Warehouse-Retailer Model under uncertainties 9.5. Case Study & numerical problems with answers 10. Inventory Models for Perishable Items 10.1. Introduction 10.2. Revisiting the Single Period (News Vendor) Problem – Life of item is known 10.3. Extension to multiple periods 10.4. Case Study & numerical problems with answers 11. Maintenance Repair Operations (MRO) Inventories 11.1. Introduction 11.2. Ordering policies for slow moving spare parts 11.3. Application of (S-1,S) model for slow moving spares 11.4. Optimizing number of repairable/rotable spares 11.5. Utilizing multi-echelon inventory systems for managing spares (Risk pooling) 11.6. Case Study & numerical problems with answers Appendices 1. MS Excel functions for probability distributions with examples 2. References / Bibliography / Additional Reading
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