Research on IOT-Based Material Delivery System of the Mixed-Model Assembly Workshop

Yun-long Wan (), Hai-ping Zhu, Yan-ping Mu and Hong-chen Yu
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Yun-long Wan: Huazhong University of Science and Technology
Hai-ping Zhu: Huazhong University of Science and Technology
Yan-ping Mu: The Trade Logistic College, Wuhan Commercial Service College
Hong-chen Yu: Huazhong University of Science and Technology

A chapter in Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), 2014, pp 581-593 from Springer

Abstract: Abstract Taking a mixed-model assembly workshop as the research object, this paper proposes a material distribution method based on Internet of Things (IOT). Firstly, the material information of each assembly station is monitored in real time by using the IOT technology. Then, a model for the real-time material distribution in mixed-model assembly workshop is built. Aiming at the optimization of the vehicle routing problem, an improved genetic algorithm is designed to solve this model. Finally, the IOT-based material distribution system of mixed-model assembly workshop is developed on the basis of the previous researches.

Keywords: Genetic algorithm; Internet of things; Material distribution; Mixed-model assembly; Vehicle routing problems (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40060-5_56

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DOI: 10.1007/978-3-642-40060-5_56

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