Preemptive and non-preemptive multi-skill multi-mode resource-constrained project scheduling problems considering sustainability and energy consumption: a comprehensive mathematical model

Basit Öğe Kaydı
dc.authorscopusidReza Tavakkoli-Moghaddam / 57207533714
dc.authorwosidReza Tavakkoli-Moghaddam / P-1948-2015
dc.contributor.authorShahabi-Shahmiri, Reza
dc.contributor.authorTavakkoli-Moghaddam, Reza
dc.contributor.authorDolgui, Alexandre
dc.contributor.authorMirnezami, Seyed-Ali
dc.contributor.authorGhasemi, Mohammad
dc.contributor.authorAhmadi, Mahsa
dc.date.accessioned2025-04-18T10:25:23Z
dc.date.available2025-04-18T10:25:23Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractModern project managers cope with significant challenges to schedule and control projects considering dynamic environments, frequent uncertainties, strict project deadlines, and stricter sustainable requirements above all. Sustainability taking into account resource utilization has been recently associated with project management. Hence, this paper presents a new mixed-integer linear programming (MILP) model with two objectives for a resource-constrained project scheduling problem (RCPSP) with multiple skills and multiple modes, assuming preemptive and non-preemptive activities in an uncertain environment. Given the importance of sustainable developments in projects, the considered objectives are to maximize job opportunities and minimize project duration, resource costs, and total energy consumption. To deal with the model, an AUGNMECON2VIKOR algorithm is utilized to create Pareto solutions. In this model, project activities can be crashed by allocating extra resources. Furthermore, multi-skill resources are used to perform project activities. This study also investigates the impact of these resources on project scheduling. To deal with uncertain circumstances, a fuzzy chance-constrained programming method is employed to develop a robust possibilistic programming model. With respect to the increasing significance of sustainability in project management, this study pioneers the examination of the impact of sustainable factors on project scheduling. Finally, the proposed formulation is validated using instances from the well-known PSPLIB and MMLIB test sets. Finally, a comparison is drawn between the presented solution method considering AUGMECON2VIKOR and AUGMECON2.
dc.identifier.citationShahabi-Shahmiri, R., Tavakkoli-Moghaddam, R., Dolgui, A., Mirnezami, S. A., Ghasemi, M., & Ahmadi, M. (2024). Preemptive and non-preemptive multi-skill multi-mode resource-constrained project scheduling problems considering sustainability and energy consumption: A comprehensive mathematical model. Journal of Environmental Management, 367, 121986.
dc.identifier.doi10.1016/j.jenvman.2024.121986
dc.identifier.endpage20
dc.identifier.issn03014797
dc.identifier.pmid39094421
dc.identifier.scopus2-s2.0-85200112043
dc.identifier.scopusqualityQ1
dc.identifier.startpage1
dc.identifier.urihttp://dx.doi.org/10.1016/j.jenvman.2024.121986
dc.identifier.urihttps://hdl.handle.net/20.500.12713/7058
dc.identifier.volume367
dc.identifier.wosWOS:001287617000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorTavakkoli-Moghaddam, Reza
dc.institutionauthoridReza Tavakkoli-Moghaddam / 0000-0002-6757-926X
dc.language.isoen
dc.publisherAcademic press
dc.relation.ispartofJournal of environmental management
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectActivity Preemption and Crashing
dc.subjectEnergy Consumption
dc.subjectProject Scheduling
dc.subjectRobust Chance-Constrained Programming
dc.subjectSustainability
dc.titlePreemptive and non-preemptive multi-skill multi-mode resource-constrained project scheduling problems considering sustainability and energy consumption: a comprehensive mathematical model
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
1-s2.0-S0301479724019728-main.pdf
Boyut:
5.21 MB
Biçim:
Adobe Portable Document Format
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Endüstri Mühendisliği Bölümü Makale Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu