DocumentCode :
2230091
Title :
Robust design for optimal project management with reliability and cost
Author :
Jeang, A.
Author_Institution :
Dept. of Ind. Eng. & Syst. Manage., Feng Chia Univ., Taichung
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1809
Lastpage :
1813
Abstract :
An approach which combines PERT and CPM in one model to solve project scheduling problems, is introduced. Due to the stochastic nature of activity time and cost for PERT and CPM networks, robust design for project scheduling via statistical method is introduced in the presented approach. The statistical method, such as response surface methodology (RSM), is used to develop a rationale of the time-cost tradeoff problem. Since the character of stochastic networks is considered in this study, other than the deterministic values of completion time and total cost, the probabilistic values of completion time reliability and total cost reliability are also considered as response values for statistical optimization. The results indicate that the presented approach provides an efficient and practical means in finding the robust and optimal scheduling for project management problem.
Keywords :
PERT; costing; critical path analysis; optimisation; probability; project management; response surface methodology; scheduling; statistical analysis; stochastic processes; CPM; PERT; completion time reliability; optimal project management; probability; project scheduling; response surface methodology; robust design; statistical optimization; stochastic network; time-cost tradeoff problem; total cost reliability; Cost function; Design for experiments; Job shop scheduling; Optimal scheduling; Optimization methods; Project management; Robustness; Statistical analysis; Stochastic processes; Uncertainty; Mathematical Programming; Project scheduling; Reliability; Response Surface Methodology; Robust; Time; cost;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
Type :
conf
DOI :
10.1109/IEEM.2008.4738184
Filename :
4738184
Link To Document :
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