An Ant Colony and Simulated Annealing Algorithm with Excess Load VRP in a FMCG Company

Fast moving consumer goods pose a major research problem as the objective is to reach the customers in an efficient manner. The delivery of goods to consumers must reach quickly without any hurdles. We assume that the FMCG companies have multiple number of warehouse hubs to reach its vast majority o...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2019-11, Vol.577 (1), p.12191
Main Author: Srinivas Rao, T
Format: Article
Language:English
Subjects:
Algorithms
Ant colony optimization
Consumer goods
Consumers
Customers
Fast moving consumer goods
Route planning
Simulated annealing
Supply chains
Vehicle routing
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fast moving consumer goods pose a major research problem as the objective is to reach the customers in an efficient manner. The delivery of goods to consumers must reach quickly without any hurdles. We assume that the FMCG companies have multiple number of warehouse hubs to reach its vast majority of consumers. Sometimes a single vehicle may not be enough to complete the tour, hence we may require another small vehicle to reach the small set of customers. The above problem has been modelled as a supply chain vehicle routing model. In our paper we have used ant colony and simulated annealing algorithm to discuss the above problem and compare their efficiencies.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/577/1/012191