Optimizing cash-flow-at-risk in construction projects : a cost reduction approach

dc.contributor.authorSharifi, Masoud Mohammad
dc.contributor.authorBagherpour, Morteza
dc.date.accessioned2016-08-23T14:02:02Z
dc.date.available2016-08-23T14:02:02Z
dc.date.issued2016
dc.description.abstractProject managers normally are facing with di culties behind management of project cash flow, which requires distinguished methods and appropriate tools to manage negative cash flows. Cash-Flow-at-Risk (CFaR) model is an e cient approach to predict cash flow trend. In this study, all risk factors a ecting project management environment have incorporated to predict an accurate project cash flow. Then, a response surface method (RSM) is applied to determine optimal level of risk. The results have successfully implemented through a case study to demonstrate the applicability of the proposed method.en_ZA
dc.description.departmentIndustrial and Systems Engineeringen_ZA
dc.description.librarianam2016en_ZA
dc.description.urihttps://pp.bme.hu/cien_ZA
dc.identifier.citationSharifi, MM & Bagherpour, M 2016, 'Optimizing cash-flow-at-risk in construction projects : a cost reduction approach', Periodica Polytechnica Civil Engineering, vol. 60, no. 3, pp. 337-344.en_ZA
dc.identifier.issn1587-3773
dc.identifier.other10.3311/PPci.7884
dc.identifier.urihttp://hdl.handle.net/2263/56459
dc.language.isoenen_ZA
dc.publisherBudapest University of Technology and Economicsen_ZA
dc.rightsThis article is published under a Creative Commons License.en_ZA
dc.subjectGaussian mixture modelen_ZA
dc.subjectProject managementen_ZA
dc.subjectCash-Flow-at-Risk (CFaR)en_ZA
dc.subjectResponse surface method (RSM)en_ZA
dc.titleOptimizing cash-flow-at-risk in construction projects : a cost reduction approachen_ZA
dc.typeArticleen_ZA

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