| The construction of prefabricated component factories is an important part of promoting the development of prefabricated buildings.During the construction of a prefabricated component factory project,how to reduce construction duration,reduce construction costs and improve construction quality through construction scheduling optimization has always been a challenge faced by relevant practitioners and researchers.Most researches of construction scheduling optimization focus on the use of optimization algorithms and the establishment of models,without considering the large differences in construction scheduling optimization for different types of projects,and the practicability and operability of models are low.In this paper,the optimization of construction scheduling of prefabricated component factories is taken as the research object.The construction schedule,cost and quality are the optimization goals.Based on the multiobjective particle swarm optimization algorithm,a construction scheduling optimization model is constructed.A construction schedule to be optimized for the prefabricated component factory is established to improve the practicability and operability of the model on the prefabricated component factory project.The practical application of the model in a prefabricated component factory project is discussed and the related application is established.The main research contents and innovations of this paper are as follows:(1)The theoretical methods used to solve the construction scheduling optimization problem is researched and discussed.The development and application of mathematical planning methods,heuristic methods and meta-heuristic methods in construction scheduling optimization problems are summarized.Based on the optimization goals and constraints,the relevant journal literature and conference literature in the Science Citation Index database are counted.Various types of construction scheduling optimization methods are compared and the priority of multi-objective particle swarm optimization is determined.(2)Based on the multi-objective particle swarm algorithm,the MOPSO-CSO model is established,the method of selecting the individual optimal solution and the global optimal solution are determined,the method of priority constraints and mutation operations are discussed,and the implementation process of the model are summarized and coded.Through a typical example project,compared with other optimization models,the optimization model proposed in this paper has higher Pareto solution set search ability and accuracy.(3)The concept of construction scheduling plan to be optimized is put forward to improve the model’s practicability.The key construction activities of the typical prefabricated component factory is determined.With reference to the construction period quota and pricing specifications,combined with field investigations,the construction period and construction cost of the prefabricated component factory are determined.The expert scoring method and analytic hierarchy process are used to quantify the construction quality.The universal prefabricated component factory construction scheduling plan to be optimized is established and built into the optimization model in advance to improve the MOPSO-CSO model’s practicability and operability in prefabricated component factory projects.(4)Based on the established MOPSO-CSO model and prefabricated component factory construction scheduling plan to be optimized,the MOPSO-CSO application is established to provide decision makers with the prefabricated component factory construction scheduling optimization plan set.The effectiveness of the MOPSO-CSO model and application program is verified through the actual prefabricated component factory project. |
