Project Schedule Management Research Based On Improved Critical Chain Method

Project schedule management is a key link of project management and plays a key role in achieving each goal of the project.With the increasing market competition,the scale and complexity of project construction are increasing,and there are more and more uncertain factors affecting the project schedule.Traditional schedule management methods(CPM or PERT)just consider logical relationships between relationships,while Critical Chain Project Management(CCPM)proposed by Dr.Goldratt,based on the constraint theory,considers the resource constraint and human behavior factors in the project,thus shortening the project duration and improving the work efficiency by setting buffers to absorb the uncertainty risk.This thesis introduces the core idea and management process of key chain technology,introduces the fuzzy theory method to estimate the duration of project process,and considers the resource constraint in the project through the heuristic algorithm based on ACTIM value,so as to identify the key chain of the project.Then,considering the uncertain factors influencing the buffer for the buffer Settings: to identify and measure the uncertain factors in the process of project implementation,combined with AHP and fuzzy mathematics comprehensive evaluation method to compare the influence of uncertain factors on the project construction period,and gives different weights to determine the impact factors,so as to put forward a new method of buffer size setting.Using Monte Carlo simulation principle,the optimization effect of key chain project is analyzed,and compared with the traditional buffer setting method,which proves the feasibility and practicability of the method.Finally,the improved monitoring buffer mechanism is used to explain how to monitor the project schedule in real time.