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

Trinkūnienė, Eva; Podvezko, Valentinas; Zavadskas, Edmundas Kazimieras; Jokšienė, Izolda; Vinogradova, Irina; Trinkūnas, Vaidotas

doi:10.1080/1331677x.2017.1325616

Cited by 70 publications

(57 citation statements)

References 38 publications

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“…This method [111] has a number of extensions, and the extension by fuzzy logics [114] is performed exactly in the field of supply chain for supplier selection. Several studies have already been published in different fields, where this method has been applied in its traditional form or some other forms [113][114][115][116][117][118][119][120][121][122]. Besides the mentioned advantages of EDAS method, we can point to additional advantages important for this paper: (1) stability of the solution on change of nature and character of the criteria; (2) provides well-structured analytical frame for ranging of alternatives; (3) the number of steps stays the same no matter of the number of criteria; (4) very useful in the case of large number of alternatives and criteria; (5) applicable for the qualitative and quantitative type of criteria; (6) provides the possibility of the stability analysis of the model regarding weight factor interval change.…”

Section: Sensitivity Analysis and Discussionmentioning

confidence: 99%

“…This method [111] has a number of extensions, and the extension by fuzzy logics [112] is performed exactly in the field of supply chain for supplier selection. Several studies have already been published in different fields, where this method has been applied in its traditional form or some other forms [113][114][115][116][117][118][119][120][121][122]. It resembles a very important support in decision making in everyday conflict situations.…”

Section: Rough Edas Methodsmentioning

confidence: 99%

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Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

et al. 2017

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Supply chain presents a very complex field involving a large number of participants. The aim of the complete supply chain is finding an optimum from the aspect of all participants, which is a rather complex task. In order to ensure optimum satisfaction for all participants, it is necessary that the beginning phase consists of correct evaluations and supplier selection. In this study, the supplier selection was performed in the construction company, on the basis of a new approach in the field of multi-criteria model. Weight coefficients were obtained by DEMATEL (Decision Making Trial and Evaluation Laboratory) method, based on the rough numbers. Evaluation and the supplier selection were made on the basis of a new Rough EDAS (Evaluation based on Distance from Average Solution) method, which presents one of the latest methods in this field. In order to determine the stability of the model and the applicability of the proposed Rough EDAS method, an extension of the COPRAS and MULTIMOORA method by rough numbers was also performed in this study, and the findings of the comparative analysis were presented. Besides the new approaches based on the extension by rough numbers, the results are also compared with the Rough MABAC (MultiAttributive Border Approximation area Comparison) and Rough MAIRCA (MultiAttributive Ideal-Real Comparative Analysis). In addition, in the sensitivity analysis, 18 different scenarios were formed, the ones in which criteria change their original values. At the end of the sensitivity analysis, SCC (Spearman Correlation Coefficient) of the obtained ranges was carried out, confirming the applicability of the proposed approaches.

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Section: Sensitivity Analysis and Discussionmentioning

confidence: 99%

Section: Rough Edas Methodsmentioning

confidence: 99%

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

et al. 2017

View full text Add to dashboard Cite

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“…We also made the comparisons between our proposed model and the COPRAS method [40][41][42][43][44][45]. The final ranking is the same but the relative significances are different.…”

Section: Discussionmentioning

confidence: 99%

A Consistent Fuzzy Preference Relations Based ANP Model for R&D Project Selection

2017

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In today's rapidly changing economy, technology companies have to make decisions on research and development (R&D) projects investment on a routine bases with such decisions having a direct impact on that company's profitability, sustainability and future growth. Companies seeking profitable opportunities for investment and project selection must consider many factors such as resource limitations and differences in assessment, with consideration of both qualitative and quantitative criteria. Often, differences in perception by the various stakeholders hinder the attainment of a consensus of opinion and coordination efforts. Thus, in this study, a hybrid model is developed for the consideration of the complex criteria taking into account the different opinions of the various stakeholders who often come from different departments within the company and have different opinions about which direction to take. The decision-making trial and evaluation laboratory (DEMATEL) approach is used to convert the cause and effect relations representing the criteria into a visual network structure. A consistent fuzzy preference relations based analytic network process (CFPR-ANP) method is developed to calculate the preference-weights of the criteria based on the derived network structure. The CFPR-ANP is an improvement over the original analytic network process (ANP) method in that it reduces the problem of inconsistency as well as the number of pairwise comparisons. The combined complex proportional assessment (COPRAS-G) method is applied with fuzzy grey relations to resolve conflicts arising from differences in information and opinions provided by the different stakeholders about the selection of the most suitable R&D projects. This novel combination approach is then used to assist an international brand-name company to prioritize projects and make project decisions that will maximize returns and ensure sustainability for the company.

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“…These methods have been used to solve mechanic [58], environmental [59], and civil engineering [60,61] problems.…”

Section: Implemented Mcdm Methodsmentioning

confidence: 99%

Analysis of Steel Wire Rope Diagnostic Data Applying Multi-Criteria Methods

et al. 2018

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Steel ropes are complex flexible structures used in many technical applications, such as elevators, cable cars, and funicular cabs. Due to the specific design and critical safety requirements, diagnostics of ropes remains an important issue. Broken wire number in the steel ropes is limited by safety standards when they are used in the human lifting and carrying installations. There are some practical issues on loose wires-firstly, it shows end of lifetime of the entire rope, independently of wear, lubrication or wrong winding on the drums or through pulleys; and, secondly, it can stick in the tight pulley-support gaps and cause deterioration of rope structure up to birdcage formations. Normal rope operation should not generate broken wires, so increasing of their number shows a need for rope installation maintenance. This paper presents a methodology of steel rope diagnostics and the results of analysis using multi-criteria analysis methods. The experimental part of the research was performed using an original test bench to detect broken wires on the rope surface by its vibrations. Diagnostics was performed in the range of frequencies from 60 to 560 Hz with a pitch of 50 Hz. The obtained amplitudes of the broken rope wire vibrations, different from the entire rope surface vibration parameters, was the significant outcome. Later analysis of the obtained experimental results revealed the most significant values of the diagnostic parameters. The evaluation of the power of the diagnostics was implemented by using multi-criteria decision-making (MCDM) methods. Various decision-making methods are necessary due to unknown efficiencies with respect to the physical phenomena of the evaluated processes. The significance of the methods was evaluated using objective methods from the structure of the presented data. Some of these methods were proposed by authors of this paper. Implementation of MCDM in diagnostic data analysis and definition of the diagnostic parameters significance offers meaningful results.

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

Cited by 70 publications

References 38 publications

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

A Consistent Fuzzy Preference Relations Based ANP Model for R&D Project Selection

Analysis of Steel Wire Rope Diagnostic Data Applying Multi-Criteria Methods

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