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MAROVIĆ, I.; PERIC, M.; HANÁK, T.
Original Title
A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor
English Title
Type
WoS Article
Original Abstract
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.
English abstract
Keywords
contractor selection; multi-criteria decision making; decision support concept; AHP; PROMETHEE; construction procurement
Key words in English
Authors
RIV year
2021
Released
12.02.2021
Publisher
MDPI
Location
Basel
ISBN
2076-3417
Periodical
Applied Sciences-Basel
Volume
11
Number
4
State
Swiss Confederation
Pages from
1
Pages to
18
Pages count
URL
https://www.mdpi.com/2076-3417/11/4/1660
Full text in the Digital Library
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" }
Documents
applsci-11-01660-v2