Title :
Influence of behavioral factors on project schedule management: A Monte Carlo method
Author :
Yang Min ; Li Shou-rong
Author_Institution :
Sch. of Econ. & Manage., BeiHang Univ., Beijing, China
Abstract :
The PERT/CPM method adopts the right-skewed probability distribution of activity duration to describe human behavioral characteristics in project activity. The parameters of distribution are given directly by estimators, which means a fixed distribution is used. However, due to the influence of "student syndrome" and Parkinson\´s Law, the PERT/CPM method doesn\´t get a satisfying effect. The CCPM method recently studied takes account of these factors by taking advantage of the mechanism of buffers and achieves better results, nevertheless, its theoretical foundations have not been confirmed effectively. This paper employs a dynamic probability distribution of activity duration to describe the influence of "student syndrome" and Parkinson\´s Law on the project, and uses Monte Carlo simulation method to investigate the influence of on the completion rate for the planned project duration. We find "student syndrome" and Parkinson\´s Law can change the expectation of project completion time and as the degree of waiting and procrastination increases, the completion rate continues to decrease. Meanwhile, the principle of cutting down safety time in CCPM is also interpreted. In the end, the paper presents some managerial policies to guide the project participants\´ behavior and improve the project operation efficiency.
Keywords :
Monte Carlo methods; PERT; critical path analysis; project management; scheduling; statistical distributions; CCPM method; Monte Carlo simulation method; PERT method; Parkinson´s Law; behavioral factors; cutting down safety time principle; dynamic probability distribution; human behavioral characteristics; managerial policies; planned project duration; project activity duration; project completion time; project operation efficiency; project schedule management; right-skewed probability distribution; student syndrome; Educational institutions; Project management; Psychology; Safety; Schedules; Simulation; Uncertainty; “Student syndrome”; CCPM; Managerial policies; Monte Carlo simulation; Parkinson´s Law; Project procrastination;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561809