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MAROVIĆ, I.; PERIC, M.; HANÁK, T.
Originální název
A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor
Anglický název
Druh
Článek WoS
Originální abstrakt
A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.
Anglický abstrakt
Klíčová slova
contractor selection; multi-criteria decision making; decision support concept; AHP; PROMETHEE; construction procurement
Klíčová slova v angličtině
Autoři
Rok RIV
2021
Vydáno
12.02.2021
Nakladatel
MDPI
Místo
Basel
ISSN
2076-3417
Periodikum
Applied Sciences-Basel
Svazek
11
Číslo
4
Stát
Švýcarská konfederace
Strany od
1
Strany do
18
Strany počet
URL
https://www.mdpi.com/2076-3417/11/4/1660
Plný text v Digitální knihovně
http://hdl.handle.net/11012/196746
BibTex
@article{BUT169520, author="Ivan {Marović} and Monika {Peric} and Tomáš {Hanák}", title="A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor", journal="Applied Sciences-Basel", year="2021", volume="11", number="4", pages="1--18", doi="10.3390/app11041660", url="https://www.mdpi.com/2076-3417/11/4/1660" }