Publication detail

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

MAROVIĆ, I. PERIC, M. HANÁK, T.

Original Title

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

Type

journal article in Web of Science

Language

English

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.

Keywords

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

Authors

MAROVIĆ, I.; PERIC, M.; HANÁK, T.

Released

12. 2. 2021

Publisher

MDPI

Location

Basel

ISBN

2076-3417

Periodical

Applied Sciences - Basel

Year of study

11

Number

4

State

Swiss Confederation

Pages from

1

Pages to

18

Pages count

18

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