caa a22 4500 378866885 CHVBK 20180305123400.0 cr unu---uuuuu 161128e20030901xx s 000 0 eng 10.1515/156939603322728987 doi (NATIONALLICENCE)gruyter-10.1515/156939603322728987 Button Scott D. Spherical Angle, Inc SynchMan@pdinstitute.com Project duration prediction using a Monte Carlo simulation of the periodic output of the project resources [Elektronische Daten] [Scott D. Button] Bounding the project completion date for upcoming and active projects is important to organizations that perform projects. The output of these projects is often delivered to other organizations. For the purposes of planning, the customer organizations need a commitment date. One method for establishing this commitment is to simulate the project duration, using Monte Carlo methods for each task. I show an approach that models the periodic output of the resources, permitting more flexibility for modeling the real work of an organization. Copyright 2003, Walter de Gruyter Monte Carlo Methods and Applications Walter de Gruyter 9/3(2003-09-01), 217-225 0929-9629 9:3<217 2003 9 mcma https://doi.org/10.1515/156939603322728987 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.1515/156939603322728987 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Button Scott D. Spherical Angle, Inc SynchMan@pdinstitute.com NATIONALLICENCE 773 0- Monte Carlo Methods and Applications Walter de Gruyter 9/3(2003-09-01), 217-225 0929-9629 9:3<217 2003 9 mcma CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter