Milk-Run Collection Monitoring System Using the Internet of Things Based on Swarm Intelligence

被引:11
作者
Karouani, Yassine [1 ]
Elgarej, Mouhcine [2 ]
机构
[1] RITM Lab, Casablanca, Morocco
[2] ENSET Mohammedia, Lab SSDIA, Mohammadia, Morocco
关键词
Ant Colony Optimization; Artificial Intelligent; Internet of Things; Milk-Run; Multi-Agent System; Smart Transportation and Logistic; Swarm Intelligence; Vehicle Routing System;
D O I
10.4018/IJISSCM.290018
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In Morocco, several dairy factories are placed in rural regions with a bad road network, which means that milk collection has a significant impact on profit, affecting milk transport costs. Actually, the milk run logistics process has been transformed from a traditional farm to the new cheese factory, so it's needed efficient methods and models to improve the process of production and collection of milk from those units. For that, the authors apply new technologies such as the internet of things (IoT) and big data to collect and analyze this information to optimize the milk delivery process. The main goal of this work is to design a new smart decision method using the internet of things and big data to optimize the milk run logistics, reduce the cost of transportation, and improve collection density. This method will be based on the swarm artificial intelligence concept to find and calculate the shortest path between units to optimize the collection of milk.
引用
收藏
页数:17
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