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Computer-aided system to solve uncertainty in project management

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3 Author(s)
Hongqi Pan ; Sch. of Bus. Syst., Monash Univ., Clayton, Vic., Australia ; Chung-Hsing Yeh ; Willis, R.J.

In project management, uncertainty often exists in relation to the estimation of activity durations. Fuzzy set theory is an effective way of solving the uncertainty caused by a lack of sufficient precise information. To schedule a project under conditions of limited resources, a genetic algorithm combined with a tabu mechanism is developed in order to search effectively and efficiently for a global-optimal or near-optimal solution. The fuzzy algorithm developed has been integrated into a computer-aided system. An experiment has demonstrated that the system is beneficial for solving such NP-hard problems when the project size increases

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Fuzzy Systems, 2001. The 10th IEEE International Conference on  (Volume:3 )

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