International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
www.ijaiem.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Multi-objective Particle Swarm optimization and Genetic algorithm in Inventory model for deteriorating items with shortages using Supply Chain management
|
Author Name: |
Ajay Singh Yadav, Ankur Garg, Kusum Gupta, Anupam Swami |
Abstract: |
Abstract
A develops a supply chain inventory model for deteriorating items in a Manufacture, warehouse, distribution centers, and
Retailer’s environment. Demand is assumed to be known and constant. Shortages are allowed. A warehouse is used to store the
excess units over the fixed capacity of the distribution centers. Further the application of supply chain inventory model using
Genetic algorithm and Particle Swarm optimization dispatching policies has been investigated in different scenarios in the
model. Comparative study of two models has also been performed with the help of a numerical example. A comprehensive
sensitivity analysis has also been carried out to advocate the implication of supply chain inventory model using Genetic
algorithm and Particle Swarm optimization dispatch policy.
Keywords: - supply chain, inventory optimization, warehouse, distribution centers, Shortages, Genetic
algorithm, Particle Swarm Optimization |
Cite this article: |
Ajay Singh Yadav, Ankur Garg, Kusum Gupta, Anupam Swami , "
Multi-objective Particle Swarm optimization and Genetic algorithm in Inventory model for deteriorating items with shortages using Supply Chain management " , International Journal of Application or Innovation in Engineering & Management (IJAIEM),
Volume 6, Issue 6, June 2017 , pp.
130-144 , ISSN 2319 - 4847.
|