Managerial decisions about alternative automatic equipment for disaster management in construction

Zavadskas, Edmundas Kazimieras; Vaidogas, Egidijus Rytas

doi:10.3846/isarc.20080626.737

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/120126

Managerial decisions about alternative automatic equipment for disaster management in construction

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
Zavadskas, Edmundas Kazimieras	Statybos valdymo ir nekilnojamojo turto katedra / Department of Construction Management and Real Estate (0261)
Vaidogas, Egidijus Rytas	Statybinių medžiagų ir gaisrinės saugos katedra / Department of Building Materials and Fire Safety (0257)

Title

Managerial decisions about alternative automatic equipment for disaster management in construction

[en]

Edmundas Kazimieras Zavadskas, Egidijus Rytas Vaidogas

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	737	743

Publisher

Vilnius : Technika, 2008

Referenced in Database(s)(DBs)

Conference Proceedings Citation Index - Science (Web of Science)

Extent

p. 737-743

URI

URI
https://hdl.handle.net/20.500.14911/120126

DOI

10.3846/isarc.20080626.737

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Statybos inžinerija / Civil engineering (T002)

Keywords (en)

Abstract (en)

The choice among alternative automatic equipment used to protect the construction site against major accidents is considered. Methods of multi-attribute selection are suggested to implement the choice. This includes attributes accounting for the possibility of failure of the automatic equipment (safety-related attributes). The epistemic uncertainty in the safety-related attributes is quantified by means Bayesian analysis. Prior or posterior probability distributions of safety-related attributes developed during this analysis are used as input data for the multi-attribute selection.