Detail publikace

A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

MAROVIĆ, I. PERIC, M. HANÁK, T.

Originální název

A Multi-Criteria Decision Support Concept for Selecting the Optimal Contractor

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

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.

Klíčová slova

contractor selection; multi-criteria decision making; decision support concept; AHP; PROMETHEE; construction procurement

Autoři

MAROVIĆ, I.; PERIC, M.; HANÁK, T.

Vydáno

12. 2. 2021

Nakladatel

MDPI

Místo

Basel

ISSN

2076-3417

Periodikum

Applied Sciences - Basel

Ročník

11

Číslo

4

Stát

Švýcarská konfederace

Strany od

1

Strany do

18

Strany počet

18

URL

Plný text v Digitální knihovně

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",
  issn="2076-3417",
  url="https://www.mdpi.com/2076-3417/11/4/1660"
}