Sustainable decision-making in civil engineering, construction and building technology can be supported by fundamental scientific achievements and multiple-criteria decision-making (MCDM) theories. The current paper aims at overviewing the state of the art in terms of published papers related to theoretical methods that are applied to support sustainable evaluation and selection processes in civil engineering. The review is limited solely to papers referred to in the Clarivate Analytic Web of Science core collection database. As the focus is on multiple-criteria decision-making, it aims at reviewing how the papers on MCDM developments and applications have been distributed by period of publishing, by author countries and institutions, and by journals. Detailed analysis of 2015-2017 journal articles from two Web of Science categories (engineering civil and construction building technology) is presented. The articles are grouped by research domains, problems analyzed and the decision-making approaches used. The findings of the current review paper show that MCDM applications have been constantly growing and particularly increased in the last three years, confirming the great potential and prospects of applying MCDM methods for sustainable decision-making in civil engineering, construction and building technology.
Abstract. Construction, taking off, maintenance and facilities management of a building is a typical example of consumer sovereignty: the new owner likes to have a reasonable price to pay, to have confi dence in the contractor, to know about the duration of the works, the service after completion and the quality of the work. On the other side the contractor has his objectives too, like the satisfaction of the client, diminishing of external costs and annoyances and the management cost per employee as low as possible. In other words it concerns a problem of multi-objectives. Therefore a fi nal ranking will show the best performing contractor from the point of view of the clients but also from the point of view of the contractors themselves. The MOORA method based on ratio analysis and dimensionless measurement will accomplish the job of ranking the contractors in a non-subjective way. As an application the largest maintenance contractors of dwellings in Vilnius, capital of Lithuania, were approached.
The accuracy of performance measures in common multicriteria methods is usually assumed to be accurate. Grey theory is a new technique for performing prediction, relational analysis and decision‐making in many areas. This paper presents applicability of grey theory techniques for defining the utility of an alternative. Proposed assessment model covers well known method of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), method with attributes values determined at intervals (TOPSIS‐grey) and a new method of Simple Additive Weighting with Grey relations (SAW‐G). A case study of the assessment of contractors’ competitive ability was used to demonstrate the applicability and the effectiveness of the proposed approach. The results show that the methods of grey relations methodology can be implemented as an effective decision aid for tasks with uncertain data. Santrauka Taikant daugiatikslius metodus iprastai rodikliu reikšmes imamos kaip tikslios. Pilkuju skaičiu teorija yra naujas metodas, kuri galima taikyti daugelyje sričiu: tinkamumui numatyti, nagrineti santykius ir priimti sprendimus. Šiame straipsnyje pateiktas pilkuju skaičiu teorijos taikymo pavyzdys alternaty‐vu tikslingumui nustatyti. Pasiūlytas metodas apima gerai žinoma TOPSIS (pirmumo eiles nustatymo būdas pagal našuma ir idealu sprendini) metoda su rodikliu reikšmemis, apibrežtomis intervaluose (TOPSIS‐grey) ir paprastojo suminio sverimo su pilkaisiais santykiais (SAW‐G) metoda. Rangovu kompetencijos vertinimo pavyzdys pateiktas naujo metodo efektyvumui parodyti. Uždavinio sprendi‐mas parodo, kad uždaviniu modeliai, aprašyti pilkaisiais santykiais, gali būti efektyviai taikomi užda‐viniams su neapibrežtais duomenimis spresti.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.