A bi-objective genetic algorithm approach to risk mitigation in project scheduling

Basit Öğe Kaydı
dc.contributor.authorKılıç, Murat
dc.contributor.authorUlusoy, Gündüz
dc.contributor.authorŞerifoğlu, Funda Sivrikaya
dc.date.accessioned2021-06-23T19:25:54Z
dc.date.available2021-06-23T19:25:54Z
dc.date.issued2008
dc.departmentBAİBÜ, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümüen_US
dc.description11th International Conference on Industrial Engineering and Systems Management -- MAY 16-19, 2005 -- Marrakech, MOROCCOen_US
dc.description.abstractA problem of risk mitigation in project scheduling is formulated as a bi-objective optimization problem, where the expected makespan and the expected total cost are both to be minimized. The expected total cost is the sum of four cost components: overhead cost, activity execution cost, cost of reducing risks and penalty cost for tardiness. Risks for activities are predefined. For each risk at an activity, various levels are defined, which correspond to the results of different preventive measures. An MIP model and a heuristic solution approach based on genetic algorithms (GAs) is proposed. GAs provide a fast and effective solution approach to the problem. (c) 2007 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.ijpe.2006.08.027
dc.identifier.endpage216en_US
dc.identifier.issn0925-5273
dc.identifier.issn1873-7579
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-38749119736en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage202en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijpe.2006.08.027
dc.identifier.urihttps://hdl.handle.net/20.500.12491/6312
dc.identifier.volume112en_US
dc.identifier.wosWOS:000253605200018en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorŞerifoğlu, Funda Sivrikaya
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofInternational Journal Of Production Economicsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectProject Schedulingen_US
dc.subjectRisken_US
dc.subjectMultiobjective Optimizationen_US
dc.subjectGenetic Algorithmsen_US
dc.titleA bi-objective genetic algorithm approach to risk mitigation in project schedulingen_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
murat-kilic.pdf
Boyut:
419.38 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam metin/Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
İşletme Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu