Supplier selection problem in global supply chains by AHP and ANP approaches under fuzzy environment

Yücenur, G. Nilay; Vayvay, Özalp; Demirel, Nihan Çetin

doi:10.1007/s00170-011-3220-y

Cited by 90 publications

(42 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Quality of material [6,21, Price of material [6,21,[26][27][28][29][30][31][33][34][35][36][37][38][39][40][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56] Certification of products [26,31,40,42,44,50,52,57] Delivery time [21,[26][27][28][29][30][31][33][34][35][36]…”

Section: Criteria Referencesmentioning

confidence: 99%

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

et al. 2017

View full text Add to dashboard Cite

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.

show abstract

Section: Criteria Referencesmentioning

confidence: 99%

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

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Deng and Hu (2010) integrated the ELECTRE method with fuzzy AHP and applied it to supplier selection in an airline company. Yücenur, Vayvay, and Demirel (2011) presented an approach based on fuzzy AHP and fuzzy ANP methods for selection of the best supplier in a global supply chain. Ertay, Kahveci, and Tabanlı (2011) developed a model for evaluating and monitoring suppliers' performance using fuzzy analytic hierarchy process and ELECTRE III methods.…”

Section: Other Ahp-based Approachesmentioning

confidence: 99%

Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

Ghorabaee

Amiri

Zavadskas

et al. 2017

Economic Research-Ekonomska Istraživanja

124

View full text Add to dashboard Cite

In past years, the multi-attribute decision-making (MADM) approaches have been extensively applied by researchers to the supplier evaluation and selection problem. Many of these studies were performed in an uncertain environment described by fuzzy sets. This study provides a review of applications of MADM approaches for evaluation and selection of suppliers in a fuzzy environment. To this aim, a total of 339 publications were examined, including papers in peer-reviewed journals and reputable conferences and also some book chapters over the period of 2001 to 2016. These publications were extracted from many online databases and classified in some categories and subcategories according to the MADM approaches, and then they were analysed based on the frequency of approaches, number of citations, year of publication, country of origin and publishing journals. The results of this study show that the AHP and TOPSIS methods are the most popular approaches. Moreover, China and Taiwan are the top countries in terms of number of publications and number of citations, respectively. The top three journals with highest number of publications were:

show abstract

“…Ku et al (2010) used an integrated fuzzy goal programming (FGP) as well as fuzzy analytic hierarchy process (FAHP) for global supplier selection problem. Yücenur et al (2011) proposed a model for selecting of the global supplier by analytical hierarchy process (AHP) and analytical network process (ANP) based on linguistic variable weight by considering four criteria including service quality, cost, risk factors and supplier's characteristics. Hammami et al (2012) developed a mixed integer programming model for a supplier selection problem in an international context.…”

Section: Literaturesmentioning

confidence: 99%

A supplier selection using a hybrid grey based hierarchical clustering and artificial bee colony

Razi¹

2014

10.5267/j.dsl

View full text Add to dashboard Cite

Selection of one or a combination of the most suitable potential providers and outsourcing problem is the most important strategies in logistics and supply chain management. In this paper, selection of an optimal combination of suppliers in inventory and supply chain management are studied and analyzed via multiple attribute decision making approach, data mining and evolutionary optimization algorithms. For supplier selection in supply chain, hierarchical clustering according to the studied indexes first clusters suppliers. Then, according to its cluster, each supplier is evaluated through Grey Relational Analysis. Then the combination of suppliers' Pareto optimal rank and costs are obtained using Artificial Bee Colony meta-heuristic algorithm. A case study is conducted for a better description of a new algorithm to select a multiple source of suppliers.

show abstract

Supplier selection problem in global supply chains by AHP and ANP approaches under fuzzy environment

Cited by 90 publications

References 37 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

Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

A supplier selection using a hybrid grey based hierarchical clustering and artificial bee colony

Contact Info

Product

Resources

About