面向关键链识别的矿山项目进度优化与仿真

    Optimization and simulation of mine project schedule oriented to critical chain identification

    • 摘要: 针对矿山工程项目的工序复杂性与资源约束问题,以项目中所需的多种资源与工序逻辑关系为约束条件,以实现成本最低与工期最短为目标,引入关键链技术并建立项目进度管理模型。模型中首先设置对照组,并改变资源供应限制量,通过比较成本与工期来确定最佳的资源限制量和初始计划;其次在关键链的识别方法上采用灰色关联分析,通过综合考虑工序持续时间、资源影响度与紧后工序持续时间来确定灰色关联度,以此调整工序的优先级;最后结合缓冲区得出完整的进度计划。以山东某矿山智能选厂项目为例,运用基于关键链技术的进度优化模型对项目进行计划编制,得出该模型既能保证项目按期完成又可节约成本,对于有多种资源约束且项目工序结构复杂的项目具有适用性。

       

      Abstract: In view of the complexity of process and resource constraints in mining engineering projects, taking the logical relationship between multiple resources and processes required in the project as constraints, with the goal of achieving the lowest cost and the shortest construction period, the critical chain is introduced and a project schedule management model is established.In the model, a control group is set first, and the resource supply limit is changed, and the optimal resource limit and initial plan are determined by comparing costs and duration; secondly, gray correlation analysis is used in the identification method of the critical chain, and the process duration is comprehensively considered.The influence degree of resources and the duration of the next process are used to determine the gray correlation degree, so as to adjust the priority of the process; finally, the complete schedule is obtained by combining the buffer.Taking a mine intelligent concentrator project in Shandong as an example, using a schedule optimization model based on critical chain technology to plan the project, it is concluded that the model can not only ensure the project's completion on time, but also save costs.It has multiple resource constraints and project procedures.Projects with complex structures are applicable.

       

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