000			01997naa a2200241uu 4500
001			0032511303937
003			OSt
005			20190211170716.0
008			100325s2009 xx ||||gr |0|| 0 eng d
100	1		_aLIPKE, Walt _939253
245	1	0	_aPrediction of project outcome : _bThe application of statistical methods to earned value management and earned schedule performance indexes
260			_aExeter, UK : _bElsevier, _cMay 2009
520	3		_aEarned value management (EVM) has provided methods for predicting the final cost for projects. In large part, these methods have not been improved upon since their beginnings and, with one exception, remain unsubstantiated as to accuracy. At the present time, EVM application guidance does not support prediction of final duration for the schedule component of projects.
520	3		_aThe objective of this research is to improve the capability of project managers for making informed decisions by providing a reliable forecasting method of the final cost and duration. The method put forth and its evaluation make use of a well established project management method, a recent technique for analyzing schedule performance, and the mathematics of statistics to achieve its purpose – EVM, earned schedule (ES) and statistical prediction and testing methods.
520	3		_aThe calculation method proposed was studied using data from 12 projects. The results for both final cost and duration are shown to be sufficiently reliable for general application of the forecasting method. The use of the method is encouraged; it may be applied irrespective of the type of work or cost and duration magnitude of the project.
700	1		_aZWILKAEL, Ofer _939254
700	1		_aHENDERSON, Kym _939255
700	1		_aANBARI, Frank _939256
773	0	8	_tInternational Journal of Project Management _g27, 4, p. 400-407 _dExeter, UK : Elsevier, May 2009 _xISSN 02637863 _w
942			_cS
998			_a20100325 _b1130^b _cDaiane
998			_a20100326 _b1105^b _cCarolina
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c32130 _d32130
041			_aeng