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

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...

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Main Authors: Željko Stević, Dragan Pamučar, Marko Vasiljević, Gordan Stojić, Sanja Korica
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/9/11/279
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author Željko Stević
Dragan Pamučar
Marko Vasiljević
Gordan Stojić
Sanja Korica
author_facet Željko Stević
Dragan Pamučar
Marko Vasiljević
Gordan Stojić
Sanja Korica
author_sort Željko Stević
collection DOAJ
description 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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spelling doaj.art-d61465a92d4d4cb680edcefe6f6b58322022-12-22T04:03:51ZengMDPI AGSymmetry2073-89942017-11-0191127910.3390/sym9110279sym9110279Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction CompanyŽeljko Stević0Dragan Pamučar1Marko Vasiljević2Gordan Stojić3Sanja Korica4Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and HerzegovinaDepartment of logistics, University of Defence in Belgrade, Pavla Jurisica Sturma 33, 11000 Belgrade, SerbiaFaculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and HerzegovinaFaculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, SerbiaFaculty for ecology and environmental protection, University Union—Nikola Tesla, Cara Dusana 62-64, 11000 Belgrade, SerbiaSupply 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.https://www.mdpi.com/2073-8994/9/11/279constructionrough numberEDASDEMATELMCDMsupply chain
spellingShingle Željko Stević
Dragan Pamučar
Marko Vasiljević
Gordan Stojić
Sanja Korica
Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
Symmetry
construction
rough number
EDAS
DEMATEL
MCDM
supply chain
title Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
title_full Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
title_fullStr Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
title_full_unstemmed Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
title_short Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company
title_sort novel integrated multi criteria model for supplier selection case study construction company
topic construction
rough number
EDAS
DEMATEL
MCDM
supply chain
url https://www.mdpi.com/2073-8994/9/11/279
work_keys_str_mv AT zeljkostevic novelintegratedmulticriteriamodelforsupplierselectioncasestudyconstructioncompany
AT draganpamucar novelintegratedmulticriteriamodelforsupplierselectioncasestudyconstructioncompany
AT markovasiljevic novelintegratedmulticriteriamodelforsupplierselectioncasestudyconstructioncompany
AT gordanstojic novelintegratedmulticriteriamodelforsupplierselectioncasestudyconstructioncompany
AT sanjakorica novelintegratedmulticriteriamodelforsupplierselectioncasestudyconstructioncompany