Milk-Run Collection Monitoring System Using the Internet of Things Based on Swarm Intelligence
Author:
Affiliation:
1. RITM Laboratory, Morocco
2. 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.
Publisher
IGI Global
Subject
Information Systems,Management Information Systems
Reference20 articles.
1. Declarative Modeling of a Milk-Run Vehicle Routing Problem for Split and Merge Supply Streams Scheduling
2. Modelling the Collection and Delivery of Sheep Milk: A Tool to Optimise the Logistics Costs of Cheese Factories
3. An integrated optimal inventory lot-sizing and vehicle-routing model for a multisupplier single-assembler system with JIT delivery
4. Optimization of milk-run delivery issue in lean supply chain management by genetic algorithm and hybridization of genetic algorithm with ant colony optimization: An automobile industry case study.;M.Hfeda;Journal of Management and Engineering Integration,2017
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Feature extraction for artificial intelligence enabled food supply chain failure mode prediction;Discover Food;2024-04-06
2. Towards self‐organizing logistics in transportation: a literature review and typology;International Transactions in Operational Research;2023-12-02
3. A holistic, integrated supply-production–distribution problem in the dairy industry under uncertain supply and demand;Computers & Industrial Engineering;2023-07
4. Big Data Analytics, Data Science, ML&AI for Connected, Data-driven Precision Agriculture and Smart Farming Systems: Challenges and Future Directions;Proceedings of Cyber-Physical Systems and Internet of Things Week 2023;2023-05-09
5. Scheduling and routing of multiple heterogeneous vehicles in a milk collection problem with blending in compartments and time windows;International Journal of Systems Science: Operations & Logistics;2023-04-17
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3