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

Sharifi, Masoud Mohammad; Bagherpour, Morteza

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dc.contributor.author	Sharifi, Masoud Mohammad
dc.contributor.author	Bagherpour, Morteza
dc.date.accessioned	2016-08-23T14:02:02Z
dc.date.available	2016-08-23T14:02:02Z
dc.date.issued	2016
dc.description.abstract	Project 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.department	Industrial and Systems Engineering	en_ZA
dc.description.librarian	am2016	en_ZA
dc.description.uri	https://pp.bme.hu/ci	en_ZA
dc.identifier.citation	Sharifi, 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.issn	1587-3773
dc.identifier.other	10.3311/PPci.7884
dc.identifier.uri	http://hdl.handle.net/2263/56459
dc.language.iso	en	en_ZA
dc.publisher	Budapest University of Technology and Economics	en_ZA
dc.rights	This article is published under a Creative Commons License.	en_ZA
dc.subject	Gaussian mixture model	en_ZA
dc.subject	Project management	en_ZA
dc.subject	Cash-Flow-at-Risk (CFaR)	en_ZA
dc.subject	Response surface method (RSM)	en_ZA
dc.title	Optimizing cash-flow-at-risk in construction projects : a cost reduction approach	en_ZA
dc.type	Article	en_ZA