Soft computing in inventory management / Nita H. Shah, Mandeep Mittal, editors.
Shah, Nita H., editor.; Mittal, Mandeep, 1978- editor.
2021
TS160 .S64 2021
Available Online

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Title Soft computing in inventory management / Nita H. Shah, Mandeep Mittal, editors.
ISBN 9789811621567 (electronic bk.)
981162156X (electronic bk.)
9789811621550
9811621551
DOI https://doi.org/10.1007/978-981-16-2156-7
Published Singapore : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource : illustrations (some color)
Item Number 10.1007/978-981-16-2156-7 doi
Call Number TS160 .S64 2021
Dewey Decimal Classification 658.7/87
Summary This book presents a collection of mathematical models that deals with the real scenario in the industries. The primary objective of this book is to explore various effective methods for inventory control and management using soft computing techniques. Inventory control and management is a very tedious task faced by all the organizations in any sector of the economy. It makes decisions for policies, activities, and procedures in order to make sure that the right amount of each item is held in stock at any time. Many industries suffer from indiscipline while ordering and production mismatch. It is essential to provide best ordering policy to control such kind of mismatch in the industries. All the mathematical model solutions are provided with the help of various soft computing optimization techniques to determine optimal ordering policy. This book is beneficial for practitioners, educators, and researchers. It is also helpful for retailers/managers for improving business functions and making more accurate and realistic decisions.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 27, 2021).
Added Author Shah, Nita H., editor.
Mittal, Mandeep, 1978- editor.
Series Inventory optimization. 2730-9355
Available in Other Form Soft computing in inventory management.
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Chapter 1. Retailer's Optimal Ordering Policy under Supplier Credits when Demand is Fuzzy and Cloud Fuzzy
Chapter 2. An Application of PSO to Study joint policies of an Inventory Model with Demand Sensitive to Trade credit and Selling price while Deterioration of item being controlled using Preventive Technique
Chapter 3. Optimization of the Berth allocation problem to the vessels using priority queuing systems
Chapter 4. Fuzzy Inventory Model for Deteriorating Items in a Supply Chain System with Time Dependent Demand Rate
Chapter 5. Credit financing in a two-warehouse inventory model with fuzzy deterioration and weibull demand
Chapter 6. Two-Warehouse Inventory of Sugar industry Model for Deteriorating Items with Inflation using Differential Evolution
Chapter 7. A Stackelberg Game Approach: In Supply Chain for Imperfect Quality Items with Learning Effect in Fuzzy Environment
Chapter 8. An analytic and Genetic Algorithm Approach to optimize Integrated Production-Inventory Model under time-varying Demand
Chapter 9. Sustainable Inventory Model with Carbon Emission Dependent Demand under Different Carbon Emission Policies
Chapter 10. Impact of two different trade credits options on a supply chain with joint and independent decision under trapezoidal demand
Chapter 11. A Co-Ordinated Single-Vendor Single-Buyer Inventory System with Deterioration and Freight Discounts.

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