Project cash flow analysis in the presence of uncertainty in activity duration and cost

Maravas, A; Pantouvakis, J-P

dc.contributor.author	Maravas, A	en
dc.contributor.author	Pantouvakis, J-P	en
dc.date.accessioned	2014-03-01T02:12:04Z
dc.date.available	2014-03-01T02:12:04Z
dc.date.issued	2012	en
dc.identifier.issn	02637863	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30000
dc.subject	Cash flow	en
dc.subject	Fuzzy project scheduling	en
dc.subject	S-curve	en
dc.subject	S-surface	en
dc.subject.other	Activity duration	en
dc.subject.other	Activity network	en
dc.subject.other	Cash flow	en
dc.subject.other	Cash flow analysis	en
dc.subject.other	Construction projects	en
dc.subject.other	Earned value analysis	en
dc.subject.other	Feasibility studies	en
dc.subject.other	Fuzzy durations	en
dc.subject.other	Project monitoring and control	en
dc.subject.other	Project scheduling	en
dc.subject.other	S-curve	en
dc.subject.other	S-surface	en
dc.subject.other	Working capitals	en
dc.subject.other	Budget control	en
dc.subject.other	Construction industry	en
dc.subject.other	Fuzzy set theory	en
dc.subject.other	Scheduling	en
dc.subject.other	capital	en
dc.subject.other	construction	en
dc.subject.other	fuzzy mathematics	en
dc.subject.other	project management	en
dc.subject.other	uncertainty analysis	en
dc.title	Project cash flow analysis in the presence of uncertainty in activity duration and cost	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.ijproman.2011.08.005	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.ijproman.2011.08.005	en
heal.publicationDate	2012	en
heal.abstract	The inherent uncertainty and imprecision in project scheduling have motivated the proposal of several fuzzy set theory based extensions of activity network scheduling techniques. Building upon these, a cash flow calculation methodology for projects including activities with fuzzy durations and/or costs is proposed in this paper. According to the proposed approach, the project cash flow is represented by an S-surface (as opposed to the traditional S-curve) ensuing by connecting S-curves at different risk possibility levels. The methodology is exemplified by estimating the working capital requirements in a real world road construction project. Furthermore, the benefits of the methodology and its subsequent computerization are discussed. It is believed that the proposed approach may also be useful for both evaluating project proposals during feasibility studies and for performing earned value analysis for project monitoring and control. © 2011 Elsevier Ltd and IPMA.	en
heal.journalName	International Journal of Project Management	en
dc.identifier.doi	10.1016/j.ijproman.2011.08.005	en
dc.identifier.volume	30	en
dc.identifier.issue	3	en
dc.identifier.spage	374	en
dc.identifier.epage	384	en