Modeling of contractor selection taking into account different risk level

Tamošaitienė, Jolanta; Turskis, Zenonas; Zavadskas, Edmundas Kazimieras

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/120156

Modeling of contractor selection taking into account different risk level

Details

Publication Type (CRIS)

Straipsnis konferencijos medžiagoje Web of Science duomenų bazėje / Article in conference proceedings in Web of Science database (P1a1)

Publication Type (eLABa)

Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB (P1a)

Author(s)

Author	Affiliation
Tamošaitienė, Jolanta	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)
Turskis, Zenonas	Operacijų tyrimo ir sumaniųjų statybos sistemų laboratorija / Laboratory of operations research and advanced construction systems (026603)
Zavadskas, Edmundas Kazimieras	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)

Title

Modeling of contractor selection taking into account different risk level

[en]

Jolanta Tamošaitienė, Zenonas Turskis, Edmundas Kazimieras Zavadskas

Is part of

The 25th International Symposium on Automation and Robotics in Construction (ISARC 2008): selected papers, June 26-29, 2008 Vilnius, Lithuania

Published In

Year	Start Page	End Page
2008	676	681

Publisher

Vilnius : Technika, 2008

Referenced in Database(s)(DBs)

Conference Proceedings Citation Index - Science (Web of Science)

Extent

p. 676-681

URI

URI
https://hdl.handle.net/20.500.14911/120156

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Statybos inžinerija / Civil engineering (T002)

Keywords (en)

Abstract (en)

This paper presents contractors’ assessment and selection based on the multi-attribute methods in a competitive and risky environment. The model is based on a multi-attributes evaluation of contractors, the determination of their optimality criterion values calculated according to Hodges-Lehman rule. The proposed model could further be applied to construction operations. The attributes of contractor evaluation are selected by taking into consideration the interests and goals of the stakeholders as well as factors that influence the process of construction efficiency. The model is based on metric scores. A background and a description of the proposed model are provided and a few key findings from the data analyses are presented.