The Research On Schedule Management Of Engineering Projects Based On Critical Chain Method

Project schedule management is one of the important components of engineering project management and plays an important role in the success or failure of a project.However,with the increasing demands of project stakeholders,the internal and external environment of the project has become more complex,which greatly increases the difficulty of project schedule control,and traditional schedule management methods gradually fail to meet the requirements and objectives of project management.Critical chain project management is a further development of traditional schedule management,providing a more scientific and detailed approach to project schedule management to meet the requirements and objectives of project management.This study addresses the shortcomings of the existing critical chain project management research and the limitations in the actual implementation of the project.It draws on the serial scheduling algorithm in the resource-constrained project scheduling problem to find the critical chain,uses a genetic algorithm to optimize the schedule,and finally constructs a critical chain schedule control process based on the schedule.The main work of the thesis research is as follows:Firstly,a schedule optimization model based on a genetic algorithm is constructed for the study of existing critical chain identification methods.In the decoding operation of the genetic algorithm,the buffer calculation is embedded in the decoding operation,and the total duration of key activities and the project buffer are added together as the total duration of the project in the selection operation,and the free slack time difference is used as an index to measure the resistance to damage of the schedule.The shortcomings of the single-point crossover are in generating a large number of infeasible individuals.The algorithm is finally implemented in the Py Charm platform using object-oriented programming techniques.Secondly,based on this,a detailed discussion of previous buffer monitoring models is compiled to analyze and summarize the strengths and weaknesses of previous buffer monitoring models,and to clarify the practical issues that the monitoring models need to address to improve the trigger point settings of the phased buffer monitoring model.This study uses the Fibonacci sequence of unique laws to improve the setting of buffer monitoring trigger points,shorten the buffer monitoring yellow zone,urge managers to complete the correction plan as soon as possible,send out alerts in advance,and then implement the correction plan in advance.Finally,the critical chain project schedule management model established in this paper was verified by selecting a case study of the schedule management of a secondary school staff 1# residential building construction project in Longnan City as the research object.The results show that critical chain technology can improve the efficiency of resource use and shorten the project duration without increasing the project risk than traditional project schedule management methods.This paper discusses the critical chain schedule management model from both theoretical analysis and case model validation,focusing on some specific details of the implementation of the genetic algorithm for critical chain identification and schedule optimization,and the optimization of the trigger point settings in buffer monitoring.Compared with traditional schedule management methods,this model can better cope with the uncertainties that occur during project execution and can guide the smooth implementation of the project,which has positive reference and application value for the implementation of the critical chain project management method in the project.