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dc.contributor.authorBuss, Arnold H.
dc.date.accessioned2014-01-29T23:39:21Z
dc.date.available2014-01-29T23:39:21Z
dc.date.issued1995
dc.identifier.urihttp://hdl.handle.net/10945/38625
dc.descriptionProceedings of the 1995 Winter Simulation Conference ed. C. Alexopoulos, I\. Kang, W. R. Lilegdon, and D. Goldsmanen_US
dc.description.abstractWe apply Response Surface Methodology (RSM) utilizing simple fractional designs to optimize the Expected Present Value (EPV) of a stochastic project network with respect to the delay of activities. Such delay could increase EPV by postponing negative cash flows, possible at the expense of also delaying the final payment for the project. The problem was challenging due to a combination of high variability with relatively fl.at objective function near the optimum. Comparisons with the true optimal solutions, where available, indicated the robustness of the approach.en_US
dc.rightsdefined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleSequential Experimentation for Estimating the Optimal Delay of Activities in PERT Networksen_US
dc.typeConference Paperen_US
dc.contributor.departmentOperations Research (OR)


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