Evaluation of quality assurance in contractor contracts by multi-attribute decision-making methods

Datos Bibliográficos

ID15067020
AutoresEva Trinkūnienė (0000-0002-9210-9120, Vilnius Gediminas Technical University), Valentinas Podvezko (Vilnius Gediminas Technical University), Edmundas Kazimieras Zavadskas (0000-0002-3201-949X, Vilnius Gediminas Technical University), Izolda Jokšienė (0000-0002-7871-8878, Vilnius Gediminas Technical University, autor de correspondencia), Irina Vinogradova (0000-0002-3204-8100, Vilnius Gediminas Technical University), Vaidotas Trinkūnas (Vilnius Gediminas Technical University), Vaidotas Trınkūnas (0000-0002-1398-3099, Vilnius Gediminas Technical University)
Año2017
Volumen30
Número1
Páginas1152-1180
Fecha de publicación2017-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEconomic Research-Ekonomska Istraživanja (JOURNAL)
Identificadores de la revistaISSN: 1331-677X • E-ISSN: 1848-9664
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2017.1325616
OpenAlexW2619984741
IdiomaEN
Citas recibidas2
Referencias citadas33

The goal of this paper is to compare quality assurance in different contractor contracts by means of multi-attribute decision-making (MADM) and to select the best option. For this investigation, the authors have developed the complex of quality evaluation criteria. During experimental evaluation, the significance of criteria was determined and the expert evaluation of template construction contracts was performed. The complex comparison of contractor contracts was carried out by means of the following MADM methods: Simple Additive Weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Complex Proportional Assessment (COPRAS) as well as the new Evaluation Based on Distance from Average Solution (EDAS). MADM. method. To determine the weights of criteria, with due consideration of uncertainty of expert evaluation, the Fuzzy Analytic Hierarchy Process (FAHP) method was applied. Evaluation of the data structure was performed by methods for the determination of objective weights: an entropy method and new criteria impact loss (CILOS) and integrated determination of objective criteria weights (IDOCRIW) methods. Expert subjective and objective weights were combined into aggregate weights. Based on the investigation performed, the authors make conclusions regarding possibilities for improving quality assurance in contractor contracts

Analytic hierarchy process · Data mining · Fuzzy logic · Ideal solution · Multiple-criteria decision analysis · Operations management · Operations research · Quality assurance · TOPSIS · Weighting · BIM and Construction Integration · Computer Science · Construction Project Management and Performance · Engineering · Mathematics · Multi-Criteria Decision Making · Artificial Intelligence