摘要
针对地下金属矿山生产和经营特点,首先采用商业智能和组合预测的理论和方法,建立矿产品市场需求计划模型;然后根据矿产品市场需求计划模型提供的分析结果,采用多目标规划、专家系统、时间价格Petri网的理论和方法,对采掘作业流程进行建模,提出了求解流程最小成本的计算方法.某地下金属矿山的实例计算表明,该模型能够有效地优化企业的生产计划,提高企业的市场竞争力,降低企业的运营成本.
According to the market environment and operational characteristics of underground metal mines, a market requirement planning model for mineral products was established by incorporating business intelligence （BI） with combination forecasting firstly. Based on the analysis results of the market requirement plamfing model, a mining-excavation planning model was constructed by using the theory and technology of multi-objective programming, expert systems, and time Petri nets extended with price information, and a calculation method to minimize the production cost was put forward. The calculation results of an underground metal mine show that the mining-excavation planning model can effectively optimize the production planning for the mining enterprise, help to achieve the purpose of enhancing the market competitiveness, and decline the operation cost.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2013年第9期1215-1220,共6页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金资助项目(51104010)
中央高校基本科研业务费资助项目(FRF-TP-12-017A)
