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

Author

Listed:
  • Yassine Karouani

    (RITM Laboratory, Morocco)

  • Mouhcine Elgarej

    (Laboratory SSDIA, ENSET Mohammedia, Morocco)

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.

Suggested Citation

  • Yassine Karouani & Mouhcine Elgarej, 2022. "Milk-Run Collection Monitoring System Using the Internet of Things Based on Swarm Intelligence," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global Scientific Publishing, vol. 15(3), pages 1-17, July.
    • Handle: RePEc:igg:jisscm:v:15:y:2022:i:3:p:1-17
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    References listed on IDEAS

    as
    1. Sestino, Andrea & Prete, Maria Irene & Piper, Luigi & Guido, Gianluigi, 2020. "Internet of Things and Big Data as enablers for business digitalization strategies," Technovation, Elsevier, vol. 98(C).
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