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

Abstract

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.