Cost Control And Optimization Of T Real Estate Project In Weifang City

With the severity of the epidemic situation,the land finance and real estate economy,as one of the main pillars of local fiscal revenue,are facing increasing challenges.Labor costs are gradually leveling off with the labor costs of first tier cities,transportation costs are constantly rising and restricted under the influence of the epidemic,and various factors such as the reduction and shutdown of upstream enterprises in material production have squeezed the profit space of many small and medium-sized real estate enterprises,The pressure of survival is constantly increasing.To cope with the development of the times and social changes,real estate enterprises need to effectively integrate existing resources,expand management methods,control project costs,and achieve sustainable development of the enterprise.Cost control is a core component of project management.After the total budget amount of the project is determined in the early stage of construction,variable costs based on schedule become the main option for optimizing costs.By optimizing the project schedule and reducing the cost of schedule,the overall project capital consumption can be reduced.This cost reduction method aims to reduce total funds as the ultimate goal,reduce the cost of each construction schedule as the main means,and optimize the construction plan as the macro goal.This article takes the Weifang T real estate project as the research object.The project is currently under construction,and the construction plan and cost collection have been determined.Firstly,the literature analysis method is used to comprehensively collate and analyze the literature on cost optimization of related construction projects,clarify the background and significance of this study,and summarize the theory and research result of cost control and optimization research at the domestic and foreign management level.Carry out cost decomposition for the project,and finally determine the detailed subjects for cost optimization such as construction period and fund requirements.Establish a project activity information table and determine a training dataset for the duration,progress,material costs,and capital requirements.Finally,the parameters of the ant colony network algorithm are set and validated to obtain effective parameter preset values,and the training data is imported into the algorithm for simulation calculation.Through calculation,the expected results of the original schedule and cost input are compared and analyzed with those final dynamic balance.From this,it is concluded that the ant colony network algorithm is effective and feasible for cost control and optimization requirements of T real estate projects.To a certain extent,it is more reasonable and efficient to plan the construction schedule of T real estate projects and reduce the total capital demand,achieving the research purpose of cost control and optimization of real estate projects in this article.