(1. 中南大學(xué) 資源與安全工程學(xué)院，長(zhǎng)沙 410083；
2. 中南大學(xué) 數(shù)字礦山研究中心，長(zhǎng)沙 410083)
摘 要: 針對(duì)地下礦山傳統(tǒng)編制生產(chǎn)計(jì)劃時(shí)存在的隨意性大、效率低、不能編制出最優(yōu)生產(chǎn)計(jì)劃的弊端，提出運(yùn)用混合整數(shù)規(guī)劃法解決采場(chǎng)回采順序優(yōu)化問(wèn)題的方法。對(duì)無(wú)底柱分段崩落法的采場(chǎng)回采順序進(jìn)行科學(xué)系統(tǒng)的分析，以計(jì)劃周期內(nèi)貼現(xiàn)值最大化為目標(biāo)函數(shù)，綜合考慮邏輯、設(shè)備數(shù)量、空間順序等約束條件，構(gòu)建采場(chǎng)回采順序優(yōu)化的混合整數(shù)規(guī)劃模型；在MATLAB環(huán)境下采用YALMIP編寫(xiě)模型語(yǔ)言并調(diào)用CPLEX求解器進(jìn)行求解，進(jìn)而得到采場(chǎng)回采順序的最優(yōu)布置方案。結(jié)果表明：此方法科學(xué)可行，克服傳統(tǒng)手工方法編制生產(chǎn)計(jì)劃的弊端，實(shí)現(xiàn)資源合理高效開(kāi)采，對(duì)指導(dǎo)礦山的實(shí)際生產(chǎn)有重要的意義。
關(guān)鍵字: 無(wú)底柱分段崩落法；采場(chǎng)回采順序；混合整數(shù)規(guī)劃；生產(chǎn)計(jì)劃
（1.School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
2. Center of Digital Mine Research, Central South University, Changsha 410083, China）
Abstract:The traditional analysis process of production schedule is random, inefficient, and the optimal production scheduling can not be arranged. The mixed integer programming method was proposed to solve the stope mining sequence optimization problem. The amount of machinery and equipment, vertical and horizontal mine-sequencing were taken as constraints, the net present value (NPV) was used as objective function of mathematical programming model, the stope mining sequence optimization model was scenically analyzed and built based on mixed integer programming method. It was solved with CPLEX, MATLAB and YALMIP for a certain Chinese iron mine. Finally, the optimal arrangement scheme of stope mining sequence was obtained. The results show that this model is scientific and feasible, and the production schedule saves costs compared to schedules manually by meeting desired production quantities more closely and reducing employee time spent on preparing schedules. It has an important significance to guide the actual production of the mine.
Key words: sublevel caving method; mining sequence optimization; mixed integer programming; production scheduling
