Rodyti trumpą aprašą

dc.contributor.authorAnsari, Ramin
dc.contributor.authorKhalilzadeh, Mohammad
dc.contributor.authorTaherkhani, Roohollah
dc.contributor.authorAntuchevičienė, Jurgita
dc.contributor.authorMigilinskas, Darius
dc.contributor.authorMoradi, Shohreh
dc.date.accessioned2023-09-18T16:16:38Z
dc.date.available2023-09-18T16:16:38Z
dc.date.issued2022
dc.identifier.other(crossref_id)135994702
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112524
dc.description.abstractConflict in human relations is unavoidable; therefore, it can occur in construction projects that are full of many human relationships. These conflicts can lead to claims if interlocutors do not agree. The main result of the claims is the delay and overrun of costs in construction projects. Additionally, poor management of claims affects the success of construction projects and their budget and schedule. Moreover, controlling claims ensures the successful completion of construction projects and minimizes delays and disputes. This study sought to improve the project performance by ranking the causes of claims and examining their impacts on Key Performance Indicators (KPI) using the combined AHP-TOPSIS (Analytic Hierarchy Process-Technique for Order of Preference by Similarity to Ideal Solution) method. Given that construction projects are constantly evolving and becoming more complex and have many linear and nonlinear relationships and structures, these projects can be considered as a kind of system dynamics. The system dynamics have been used for nearly four decades to analyze and improve the performance of construction projects. This study attempted to provide a model with a system dynamics approach to predict the performance of construction projects based on the reasons for the claim. In this model, the most important performance indicators, interactions between them, and the relationship of these indicators with the reasons for claiming were simulated. The results showed that delays are the most important reasons for making claims, and they have a great impact on the KPIs such as scheduling, sustainability, customer satisfaction, quality, and team satisfaction, respectively. In the modeling and simulation discussion in this study, the proposed model simulated the dependencies between the KPIs of construction projects and their changes over time and provides a better understanding of how performance indicators interact with each other. Additionally, it can be used as a basis for simulating different management policies to find the best solution to prevent and correct the negative effects of poor performance.eng
dc.formatPDF
dc.format.extentp. 1-19
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyCABI (abstracts)
dc.relation.isreferencedbyJ-Gate
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2071-1050/14/7/4138
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:125353163/datastreams/MAIN/content
dc.titlePerformance prediction of construction projects based on the causes of claims: A system dynamics approach
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references88
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionImam Khomeini International University
dc.contributor.institutionPontificia Universidad Católica del Perú
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enKey Performance Indicators (KPIs)
dc.subject.enperformance management
dc.subject.enconstruction projects
dc.subject.enmodeling
dc.subject.ensystem dynamics
dc.subject.enclaims
dcterms.sourcetitleSustainability: Special issue: Sustainable construction engineering and management: Enablers of change, Part II
dc.description.issueiss. 7
dc.description.volumevol. 14
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi135994702
dc.identifier.doi000780624700001
dc.identifier.doi10.3390/su14074138
dc.identifier.elaba125353163


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