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dc.contributor.authorRoghanian, E
dc.contributor.authorAlipour, M
dc.contributor.authorRezaei, M
dc.date.accessioned2019-07-06T12:30:59Z
dc.date.available2019-07-06T12:30:59Z
dc.date.issued2018
dc.identifier.issn1562-3599
dc.identifier.doi10.1080/15623599.2016.1225327
dc.identifier.urihttp://hdl.handle.net/10072/383723
dc.description.abstractThis paper proposes an improved critical chain method with fuzzy approach to schedule projects under uncertainty. Utilizing fuzzy numbers can be wise because of the natural uncertainty in estimation of required work to accomplish the project tasks. To minimize the project duration as an objective taking into account resource limitations and other constrains, a resource-constrained project scheduling problem (RCPSP) model is adopted. The output of this model determines the project schedule. Then, a new buffer sizing approach based on the square root of the sum of the squares (SSQ) method is introduced which is modified by coefficients to overcome the schedule risk more efficiently. As a result, a project buffer is added to the end of the project schedule and is used if necessary. The methodology can be used as a control procedure.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherTAYLOR & FRANCIS LTD
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto13
dc.relation.ispartofissue1
dc.relation.ispartofjournalINTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
dc.relation.ispartofvolume18
dc.subject.fieldofresearchCivil Engineering
dc.subject.fieldofresearchBuilding
dc.subject.fieldofresearchCommercial Services
dc.subject.fieldofresearchcode0905
dc.subject.fieldofresearchcode1202
dc.subject.fieldofresearchcode1504
dc.titleAn improved fuzzy critical chain approach in order to face uncertainty in project scheduling
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionSubmitted Manuscript (SM)
gro.rights.copyright© 2018 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Construction Management on 20 Jan 2017, available online: https://doi.org/10.1080/15623599.2016.1225327
gro.hasfulltextFull Text
gro.griffith.authorAlipour, Mohammad


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