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Decision Making in Inventory Management
Title
Decision Making in Inventory Management [electronic resource] / edited by Nita H. Shah, Mandeep Mittal, Leopoldo Eduardo Cárdenas-Barrón.
ISBN
9789811617294
Edition
1st ed. 2021.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2021.
Physical Description
1 online resource (X, 230 p.) 58 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book provides several inventory models for making the right decision in inventory management under different environments. Basically, the optimal ordering policies are determined for situations with and without shortages in production-inventory systems. The chapters in the book include various features of inventory modeling i.e., inflation, deterioration, supply chain, learning, credit financing, carbon emission policy, stock-dependent demand, among others. The book is a useful resource for academicians, researchers, students, practitioners, and managers who can be benefited with the policies provided in the chapters of the book.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
September 08, 2021
Series
Inventory Optimization,
Contents
Chapter 1: Inventory model with advance and delayed payments
Chapter 2: Dynamic pricing Inventory model Inventory model in Clod fuzzy Environment
Chapter 3: Inventory model for deteriorating items and payment options Inventory model of spare-parts inventory
Chapter 4: Inventory model of substitutable items Inventory models for green supply chain
Chapter 5: EOQ model for imperfect quality items Carbon Emission Economic ordering policies for growing items with trade credit financing
Chapter 6: Pharmaceutical Inventory Model for Deteriorating Items with Two-Warehouse using Cuckoo search algorithm
Chapter 7:Effect of learning effect on an inventory model of deteriorating items with fixed shelf life.
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