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A Quadratic programming model for Blast Scheduling

International Journal of Minerals,Metallurgy and Materials 1999年第3期13卷 165-167页

作者： Chunyan Meng Samuel Frimpong Mingjian Zuo(Ph. D. Student (correspondent). 606-Chemical-Mineral Building. Dept of Civil and Environmental Engineering. University of Alberta. T6G 2G6.Edmonton, AB. Canada)(Associate protessor, School of Mining and Petrole 606-Chemical-Mineral Building Dept of Civil and Environmental Engineering University of Alberta Edmonton Alta. T6G 2G6 Canada School of Mining and Petroleum Engineering University of Alberta Canada Department of Mechanical Engineering University of Alberta Canada

A quadratic programming model is established to choose the blocks to be blasted in a given period. The length of this period depends on the production planning requirements. During the given period, the blocks' parameters are available from the geological database of the mine. The objective is to minimize the deviation of the average ore grade of blasted blocks from the standard ore grade required by the mill. Transportation ability constraint. production quantity demand constraint. minimum safety bench constraint. block size constraint and block, bench precedence constraints are considered in forming the programming model. This model has more practical objective function and reasonable constraints compared with the existing model for this kind of problems.

关键词： quadratic programming open pit mining blast scheduling mine production scheduling mathematical programming model

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Primary logistics planning of oil products under the imbalance of supply and demand

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Petroleum Science 2022年第4期19卷 1915-1925页

作者： Rui Qiu Yong-Tu Liang Qi Liao Ying-Qi Jiao Bo-Hong Wang Yi Guo Hao-Ran Zhang National Engineering Laboratory for Pipeline Safety/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology China University of Petroleum-BeijingFuxue Road No.18Changping DistrictBeijing102249PR China School of Petrochemical Engineering and Environment Zhejiang Ocean UniversityZhoushan316022China Sustainable Process Integration Laboratory–SPIL NETME CentreFaculty of Mechanical EngineeringBrno University of Technology–VUT BrnoTechnická2896/261669BrnoCzech Republic Oil&Gas Pipeline Control Center PipeChinaDongtucheng Road No.5Chaoyang DistrictBeijing100013PR China Center for Spatial Information Science The University of Tokyo5-1-5 KashiwanohaKashiwa-shiChiba277-8568Japan

This paper intends to complete the primary logistics planning of oil products under the imbalance of supply and demand. An integrated mathematical programming model is developed to simultaneously find the balance between supply and demand, and optimize the logistics scheme. The model takes minimum logistics cost and resource adjustment cost as the objective function, and takes supply and demand capacity, transportation capacity, mass balance, and resource adjustment rules as *** adjustment rules are considered in the model, including resource adjustment within oil suppliers,within oil consumers, and between oil consumers. The model is tested on a large-scale primary logistics of a state-owned petroleum enterprise, involving 37 affiliated refineries, 31 procurement departments,286 market depots and dedicated consumers. After the unified optimization, the supply and demand imbalance is eased by 97% and the total cost is saved by 7%, which proves the effectiveness and applicability of the proposed model.

关键词： Oil product logistics Supply and demand imbalance Petroleum enterprise Resource adjustment mathematical programming model

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Optimal design of culling compensation policy under the African swine fever——Based on simulations of typical pig farms in China

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Journal of Integrative Agriculture 2023年第2期22卷 611-622页

作者： GUO Shi-juan Lü Xin-ye HU Xiang-dong Institute of Agricultural Economics and Development Chinese Academy of Agricultural SciencesBeijing 100081P.R.China Institute of Agricultural Information and Economy Shandong Academy of Agricultural SciencesJinan 250000P.R.China

This paper aims to optimize the culling compensation policy from a micro perspective through scenario *** on an investigation of 273 pig farms in eight regions,four typical pig farms were constructed according to farm size and breeding mode,representing the swine producers in ***,a decision objective function of pig farms facing suspected African swine fever(ASF)outbreaks was *** study used a mathematical programming model to design and simulate scenarios based on compensation standards and local implementation levels,aiming to incentivize pig farms to report *** results show that the optimal decisions on epidemic reports differed among typical farms and by herd daily *** results suggest the following adjustments for optimizing culling compensation policies:(1)to set culling compensation standards based on the market value and(2)to maintain a high level of epidemic surveillance capability in the animal husbandry and veterinary sector.

关键词： culling compensation African swine fever epidemic report mathematical programming model

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