Research On Technology Progress Optimization Of Critical Chain Based On Adaptive Genetic Algorithm

Project management covers many aspects such as schedule management,risk management,cost management,scope management,and quality management.Schedule management is also one of the important indicators to measure the level of project management.However,with the rapid development of the country’s urbanization process,the number and scale of engineering projects have continued to increase,which has also led to a gradual increase in risks and uncertainties in the process of project implementation.Problems such as schedule overdue and resource conflicts have been common.Based on this,this paper conducts research on scientific and reasonable schedule management.The improvement of this paper focuses on the three core issues of critical chain technology:critical chain identification,buffer setting and buffer monitoring,so as to adapt to the characteristics of schedule optimization management of large-scale engineering projects.First of all,for the identification of critical chains,this paper proposes an adaptive genetic algorithm to identify critical chains,especially for the shortcomings of traditional algorithms that tend to tend to local convergence and easily destroy the optimal individual,an improved algorithm is proposed and a model is established,the model significantly improves the accuracy of algorithm recognition.Through improvement,the traditional resource allocation method has a large amount of calculation and is not suitable for engineering projects with multiple resources and complex procedures;secondly,for the core and key link of the key chain technology,the buffer setting The concept of information entropy is used to measure several factors that affect the size of the buffer,and the calculation formula of the root variance method is improved,so that the setting of the buffer can consider more influencing factors,and the calculation results are more realistic;finally,for the monitoring of the buffer,this paper dynamically allocates buffers in each process,and sets multiple trigger points to determine whether to start the buffer monitoring model set by the progress control matrix.This method can monitor and manage the buffer zone more scientifically and effectively,so as to realize reasonable monitoring of the entire project.Aiming at the above research methods,this paper selects an engineering example as the research object,and uses the established critical chain schedule management model to verify the example.Through the use of Crystal Ball software,the improved critical chain schedule management model,the traditional schedule management model and the model without resource constraints are simulated in pairs,and it is concluded that the method in this paper is 30.4 months ahead of the traditional method.The ideal state under resource constraints is also advanced by 12 days.At the same time,the duration fluctuation value and variance value are also the minimum among the three.This proves the practicability and reliability of the schedule management model established in this paper.At the same time,this model makes up for the limitations of traditional methods in resource allocation,and provides a useful idea for improving the level of project progress management.