Optimization Of Commercial Complex Construction Project Scheduling:A Critical Chain Perspective

With the development of engineering technology and the growth of economic scale,Modern constuction projects are characterized by large investment,long construction period,high professional complexity and numerous uncertainty factors.The uncertainty is the most critical problem in modern project schedule management,Uncertainty factors cause deviation between actual schedule and the planned one,frequently rescheduling,delays,costs in the process of the construciton,and traditional schedule method can not effectively deal with the effects,This brings great challenge to project schedule management.At present,the management methods mainly include Gantt chart method,critical path method and traditional critical chain technology,and the main problems are also very prominent.For example,Gantt chart method and critical route method can not adapt to the disturbance of uncertain factors in the construction process,and can not solve the scheduling problem under resource constraints.For another example,the traditional critical chain technology only solves the stability problem of the project duration,but ignores the stability problem of the schedule.And,Most buffer size calculation methods are based on the modification of activity safety time or the variance of duration of works,and there is still little research on how to determine the uncertainty level according to the characteristics of specific projects and combine it with buffer size calculation.In view of the above problems,based on the relatively independent characteristics of construction management team and construction organization logic of each professional project of commercial complex project,this study proposes a multi-project critical chain planning model that takes each professional project as a single project and adopts the multi-project management mode as a whole.In order to improve the robustness of project planning,decentralized buffering is used instead of traditional centralized buffering.The problems of critical chain identification,resource scheduling and time limit estimation under multi-project critical chain planning model are solved.On the other hand,this paper uses the Bayesian network method to define the uncertainty level of a single project,calculates the delay probability of a project through structural modeling,parameter learning and precise reasoning,and combines the reasoning results with the calculation of buffer size to make the buffer size consistent with the uncertainty level of the project.This paper takes a commercial project as an example,uses simulation to compare the three planning methods of multi-project critical chain planning,critical path method and traditional critical chain method.The results show that multi-project critical chain planning is the best overall in the deviation degree of planned period and actual period,and the schedule achievement rate.From the practical point of view,the validity and feasibility of the theory proposed in this paper are verified,and the results are of great significance to the construction of complex engineering.