DocumentCode
537181
Title
The Study of a Quantification Prediction Method of Production Development Schedule Risk
Author
Guo, Shuhang ; Hai, Mo ; Wang, Min
Author_Institution
Sch. of Inf., Central Univ. of Finance & Econ., Beijing, China
fYear
2010
fDate
7-9 Nov. 2010
Firstpage
1
Lastpage
4
Abstract
Given the generally low quality of Production Development schedule baseline definition, an evaluation method of project schedule risk quantification based on Monte Carlo simulation under the conditions of resource constraints is proposed. Firstly, considering the resource constraints on the progress, an activity duration sampling method under resource constraints is proposed. Secondly, to study the probability distribution of project duration, a method to recognize the critical path to a project dynamically is proposed under the random change in the activity duration. Finally, examples will show that Monte Carlo simulation methods under resource constraints can assess the progress risk of Production Development effectively and support the project decision-making.
Keywords
Monte Carlo methods; decision making; project management; resource allocation; sampling methods; scheduling; statistical distributions; Monte Carlo simulation; activity duration sampling method; probability distribution; production development schedule risk; project decision making; project duration; quantification prediction method; resource constraints; Computational modeling; Correlation; Monte Carlo methods; Production; Project management; Risk management; Schedules;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location
Henan
Print_ISBN
978-1-4244-7159-1
Type
conf
DOI
10.1109/ICEEE.2010.5661117
Filename
5661117
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