<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zsolt T.  Kosztyán</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">CHALLENGES OF THE PROJECT PLANNING METHODS IN THE 21ST CENTURY</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Management in the 21st Century </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">matrix-based project planning methods</style></keyword><keyword><style  face="normal" font="default" size="100%">multilevel project planning</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">December/2012</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://oaji.net/articles/2014/450-1391966245.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">5</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">There are a lot of project planning (like Gantt chart (Gant, 1910)) and network-based scheduling methods (like CPM, PDM, GERT (see i.e. Kelley-Walker, 1959, Pritsker 1966)), they were developed for handling traditional (e.g. construction) projects. While these methods are appropriate for the operation level - logic planning, scheduling, cost and resource allocation - of traditional project managemet, these methods can hardly be used for agile and extreme project management. Network-based methods focus on operation level, while for strategic decisions other methods should be used.
 Matrix-based methods can be used for planning agile methods (see Kosztyán-Kiss 2010-2013), however these methods also focused on operation level.
 This paper introduces an improved matrix-based method, the extended Multilevel Project Expert Matrix (xMPEM) method. This method can be used not only for operation, but strategic level of project management, where typical strategic questions arise e.g. which subprojects/tasks should be completed, how to treat priorities of completion in case of defining logic planning, how to support not only traditional but agile project management approaches.
 In this paper a multilevel genetic algorithm (MLGA) will be specified in order to determine possible project scenarios and possible project structures. The introduced xMPEM and MLGA methods can serve as the connection between operation and the strategic level of the project management.
</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">46-60</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Csaba  Hegedűs</style></author><author><style face="normal" font="default" size="100%">Zsolt T.  Kosztyán</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">THE CONSIDERATION OF MEASUREMENT UNCERTAINTY IN FORECAST AND MAINTENANCE RELATED DECISIONS</style></title><secondary-title><style face="normal" font="default" size="100%">Problems of Management in the 21st Century </style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">forecast</style></keyword><keyword><style  face="normal" font="default" size="100%">risk-based maintenance</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://oaji.net/articles/2014/450-1391887397.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">1</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In the field of operations management, most decisions are seen as being based on measurement results. However, every measurement has some uncertainty and therefore managerial decisions can be incorrect. Measurement uncertainty can cause particularly large losses in the case of maintenance decisions, where decision error can cause the breakdown of the entire production or service process. Taking measurement uncertainty into consideration the losses can be decreased. The standards, technical reports and guides dealing with measurement uncertainty use probability approach and focus on the metrology aspect. They do not support a risk based decision based on the forecast of the observed characteristics. In the proposed risk based model the realized (or lost) revenue is treated along with the occurred costs in order to maximize the profit with the help of analytic calculation and simulations. This paper suggests that by treating measurement results as a time series the time of probable failure can be predicted at a given confidence level, this can support the scheduling of maintenance tasks. The uncertainty of measurement and the uncertainty of forecasting can be treated in the same model.</style></abstract><work-type><style face="normal" font="default" size="100%">Original article</style></work-type><section><style face="normal" font="default" size="100%">46-59</style></section></record></records></xml>