Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning

The working environment of underground mines is complicated, making it difficult to construct an underground mine production plan. In response to the requirements for the preparation of a short-term production plan for underground mines, an optimization model for short-term resource planning was con...

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Autores principales: Ning Li, Shuzhao Feng, Haiwang Ye, Qizhou Wang, Mingtao Jia, Liguan Wang, Shugang Zhao, Dongfang Chen
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/944e21bec1ab461fbb92dad8d8b81ff6
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spelling oai:doaj.org-article:944e21bec1ab461fbb92dad8d8b81ff62021-11-25T18:22:23ZDispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning10.3390/met111118482075-4701https://doaj.org/article/944e21bec1ab461fbb92dad8d8b81ff62021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4701/11/11/1848https://doaj.org/toc/2075-4701The working environment of underground mines is complicated, making it difficult to construct an underground mine production plan. In response to the requirements for the preparation of a short-term production plan for underground mines, an optimization model for short-term resource planning was constructed, with the goal of maximizing the total revenue during the planning period. The artificial bee colony optimization algorithm is used to solve the model using MATLAB. According to the basic requirements of underground mine ore haulage and ore hoisting, a haulage equipment inter-stopes dispatch plan model was constructed, with the primary goal of minimizing the haulage equipment wait time. A non-dominated sorting genetic algorithm is used to solve the optimization model. An underground mine is examined using the two models, and the optimization results are compared and verified with the scheme obtained by using traditional optimization algorithms. Results show that based on the improved optimization algorithm, the use of short-term production planning schemes to guide mine production operations can increase the haulage equipment utilization rate, thereby increasing mine production revenue.Ning LiShuzhao FengHaiwang YeQizhou WangMingtao JiaLiguan WangShugang ZhaoDongfang ChenMDPI AGarticledigital minemine short-term production planninghaulage equipment dispatch planABCANSGAMining engineering. MetallurgyTN1-997ENMetals, Vol 11, Iss 1848, p 1848 (2021)
institution DOAJ
collection DOAJ
language EN
topic digital mine
mine short-term production planning
haulage equipment dispatch plan
ABCA
NSGA
Mining engineering. Metallurgy
TN1-997
spellingShingle digital mine
mine short-term production planning
haulage equipment dispatch plan
ABCA
NSGA
Mining engineering. Metallurgy
TN1-997
Ning Li
Shuzhao Feng
Haiwang Ye
Qizhou Wang
Mingtao Jia
Liguan Wang
Shugang Zhao
Dongfang Chen
Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning
description The working environment of underground mines is complicated, making it difficult to construct an underground mine production plan. In response to the requirements for the preparation of a short-term production plan for underground mines, an optimization model for short-term resource planning was constructed, with the goal of maximizing the total revenue during the planning period. The artificial bee colony optimization algorithm is used to solve the model using MATLAB. According to the basic requirements of underground mine ore haulage and ore hoisting, a haulage equipment inter-stopes dispatch plan model was constructed, with the primary goal of minimizing the haulage equipment wait time. A non-dominated sorting genetic algorithm is used to solve the optimization model. An underground mine is examined using the two models, and the optimization results are compared and verified with the scheme obtained by using traditional optimization algorithms. Results show that based on the improved optimization algorithm, the use of short-term production planning schemes to guide mine production operations can increase the haulage equipment utilization rate, thereby increasing mine production revenue.
format article
author Ning Li
Shuzhao Feng
Haiwang Ye
Qizhou Wang
Mingtao Jia
Liguan Wang
Shugang Zhao
Dongfang Chen
author_facet Ning Li
Shuzhao Feng
Haiwang Ye
Qizhou Wang
Mingtao Jia
Liguan Wang
Shugang Zhao
Dongfang Chen
author_sort Ning Li
title Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning
title_short Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning
title_full Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning
title_fullStr Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning
title_full_unstemmed Dispatch Optimization Model for Haulage Equipment between Stopes Based on Mine Short-Term Resource Planning
title_sort dispatch optimization model for haulage equipment between stopes based on mine short-term resource planning
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/944e21bec1ab461fbb92dad8d8b81ff6
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