Decision support for the evaluation of building life cycle effectiveness

This paper presents a multiple criteria decision model for the life cycle of single family houses analysis based on a decision support system. Methods of multiple criteria analysis are applied for a complex analysis of the singleâ€family houses life cycle as well as for the evaluation of decisions....

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Bibliographic Details
Main Authors: Nerija Banaitiene, Zenonas Turskis
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2004-06-01
Series:Technological and Economic Development of Economy
Subjects:
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Online Access:http://localhost/journals.vgtu.lt/index.php/TEDE/article/view/8705
Description
Summary:This paper presents a multiple criteria decision model for the life cycle of single family houses analysis based on a decision support system. Methods of multiple criteria analysis are applied for a complex analysis of the singleâ€family houses life cycle as well as for the evaluation of decisions. The method of multivariant design is applied for making variants of the life cycle of singleâ€family houses. The multivariant design and multiple criteria evaluation of a building life cycle allow the interested parties (client, contractor, user, etc.) to make efficient decisions on the ground of a quantitative and qualitative variants analysis. The decision maker's attitude can be reflected in the analysis process by the weighting of criteria. The proposed methodology provides a useful tool for building life cycle evaluation. Having applied the information gathered in the database, using the models of a model base, various interested parties of a building life cycle are able to make effective decisions. The system provides a user with all the necessary support required for decision making: in information terms the receipt of quantitative and conceptual information describing a building life cycle, gathering and use thereof, in terms of evaluation the analysis of such information applying the methods of a multiple criteria analysis. First Published Online: 21 Oct 2010
ISSN:2029-4913
2029-4921