Research on material loading problem of coal mine car for reverse logistics

DOI

10.2991/978-94-6463-326-9_15How to use a DOI?

Keywords

Reverse logistics; Material clustering; Three-dimensional loading; Lowest horizontal plane algorithm

Abstract

Coal underground reverse logistics is a subject that requires special attention in coal production. Waste materials or equipment, etc. produced by underground production need to be transferred to the surface and sorted according to the requirements and finally passed to different processing departments for treatment. The transfer operation is carried out by mine trucks, and when loading underground, there is a phenomenon of low utilization of the vehicles due to the urgency of time, and the disordered loading leads to difficulties in sorting the materials after ascending to the wells, thus generating unnecessary waste. Aiming at the above problems, a solution is proposed. Firstly, according to the final flow of materials to the department and the volume of materials for clustering, complete the distribution of materials and vehicles; Secondly, according to the idea of block loading, the establishment of the three-dimensional loading planning model with the goal of maximizing the utilization rate of the volume of the vehicle, and the use of the lowest level algorithm for solving. By obtaining the actual data of a coal enterprise for analysis, the average volume utilization rate of vehicles after clustering loading is 77.59%.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zhang Shuntang
AU  - Zhang Guojun
AU  - Shi Zhenyang
AU  - Hu Lihua
PY  - 2023
DA  - 2023/12/30
TI  - Research on material loading problem of coal mine car for reverse logistics
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 151
EP  - 158
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_15
DO  - 10.2991/978-94-6463-326-9_15
ID  - Shuntang2023
ER  -