ANALYSIS OF FORECASTING METHODS FROM THE POINT OF VIEW OF EARLY WARNING CONCEPT IN PROJECT MANAGEMENT
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Florin Popescu: Doctoral School - Entrepreneurship, Business Engineering & Management; University “Politehnica” of Bucharest, Romania
SEA - Practical Application of Science, 2017, issue 15, 331-346
Early warning system (EWS) based on a reliable forecasting process has become a critical component of the management of large complex industrial projects in the globalized transnational environment. The purpose of this research is to critically analyze the forecasting methods from the point of view of early warning, choosing those useful for the construction of EWS. This research addresses complementary techniques, using Bayesian Networks, which addresses both uncertainties and causality in project planning and execution, with the goal of generating early warning signals for project managers. Even though Bayesian networks have been widely used in a range of decision-support applications, their application as early warning systems for project management is still new.
Keywords: Early warning; Forecasting methods; Project management (search for similar items in EconPapers)
JEL-codes: L00 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:cmj:seapas:y:2017:i:15:p:331-346
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