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

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

Yassine Karouani, Mouhcine Elgarej
Copyright: © 2022 |Pages: 17
DOI: 10.4018/IJISSCM.290018
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Abstract

In our country 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, we will 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.
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Actually, with the need of controlling costs of milk collecting and distribution to solve the problem of the weak arrangement of routes and vehicles planning. Authors in (K. Ji-li et al, 2013) propose a new mathematical pattern based on the time window concept for the vehicle routing system. The main goal of this model is to optimize the total path crossed by vehicles for milk collection and reduce the waiting time for pick-up of milk from farms. The resulting feedback has been significant according to the data set used for running the new proposed model.

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