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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU139500" target="_blank" >RIV/00216305:26110/21:PU139500 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/2076-3417/11/4/1660" target="_blank" >https://www.mdpi.com/2076-3417/11/4/1660</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/app11041660" target="_blank" >10.3390/app11041660</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20101 - Civil engineering

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Applied Sciences - Basel

  • ISSN

    2076-3417

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    18

  • Pages from-to

    1-18

  • UT code for WoS article

    000632114200001

  • EID of the result in the Scopus database