卡车
铲子
露天开采
地铁列车时刻表
工程类
调度(生产过程)
随机规划
装载机
铜矿
CLs上限
计算机科学
运筹学
运输工程
数学优化
运营管理
汽车工程
采矿工程
有机化学
验光服务
化学
操作系统
机械工程
铜
医学
数学
作者
Mehrnaz Mohtasham,Hossein Mirzaei-Nasirabad,Behrooz Alizadeh
标识
DOI:10.1080/25726668.2021.1916170
摘要
The truck allocation problem is an important section of the transportation system in open-pit mines. Most available models for the truck scheduling problem do not directly address the stochastic nature of truck-shovel systems by using multi-objective optimization techniques. This paper presents a chance-constrained goal programming (CCGP) model based on four important goals to estimate the impacts of the uncertainty on the efficiency of truck-shovel systems. The proposed model has been implemented using 11 schedule scenarios and different confidence levels (CLs) for loader's production to determine the best allocation of trucks in an open-pit copper mine. The results display that the model can handle the quality and quantity of material required to achieve the objectives of the short-term production schedule of the mine in all CLs, even in the highest risk level. This model has a remarkable ability to meet the required objectives in terms of uncertainty in mining operations.
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