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Two Stage Optimization Models of the NCSRPE of Programs from the Perspective of Work

机译:从工作视角下的节目NCSRPE的两个阶段优化模型

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Non-commercial resources provided by employers (NCRPE) are the imperative factor affecting the progress of engineering projects. However, the NCRPE with limited supply ability is rarely considered in the schedule optimization models in previous studies from the perspective of work. This paper analyzes the characteristics of the non-commercial single resource provided by employers (NCSRPE), the optimization principle, characteristics, and tasks. With the initial network, this paper researches the optimization model of the NCSRPE to minimize the supply capacity of the NCSRPE before the implementation and to reduce the actual demand of the NCSRPE to a level slightly below the supply capacity of the production system. NCSRPE optimization and re-optimization models are built based on this, and the Hybrid Particle Swarm Algorithm (HPSA) is used to solve the problem. The results show that the two models can effectively solve the optimization problem of program planning and adjustment under multiple independent stakeholders. Finally, resource balance before the implementation and the re-optimization of resource cutting during the implementation are carried out for artificial aggregate in Program X of the South-to-North Water Diversion Project (SNWDP) based on the HPSA. A reasonable and practical program planning and adjustment within different stakeholders can be obtained.
机译:雇主(NCRPE)提供的非商业资源是影响工程项目进展的必要因素。然而,从工作角度来看,在先前的研究中,很少考虑具有有限的供应能力的NCRPE。本文分析了雇主(NCSRPE)提供的非商业单一资源的特征,优化原则,特征和任务。通过初始网络,本文研究了NCSRPE的优化模型,以最大限度地减少实施前NCSRPE的供应能力,并将NCSRPE的实际需求降至略低于生产系统的供应能力。基于此,构建了NCSRPE优化和重新优化模型,混合粒子群算法(HPSA)用于解决问题。结果表明,这两种型号可以有效解决多个独立利益相关者的节目规划和调整的优化问题。最后,在实施期间的实施和再优化资源切割的资源平衡是基于HPSA的南 - 北 - 水转移项目(SNWDP)的程序X中的人工骨料进行的。可以获得不同利益相关者的合理和实际的计划计划和调整。

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