Author
Morteza Yazdani
Other affiliations: European University of Madrid, University of Toulouse
Bio: Morteza Yazdani is an academic researcher from Loyola University Chicago. The author has contributed to research in topics: Multiple-criteria decision analysis & Supply chain. The author has an hindex of 24, co-authored 64 publications receiving 1985 citations. Previous affiliations of Morteza Yazdani include European University of Madrid & University of Toulouse.
Papers
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TL;DR: In this article, a combined compromise decision-making algorithm with the aid of some aggregation strategies is presented. And the authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results.
Abstract: Purpose The purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement. Design/methodology/approach This paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process. Findings The authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm. Originality/value The algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.
345 citations
TL;DR: In this paper, an integrated approach for green supplier selection by considering various environmental performance requirements and criteria is presented. But the proposed approach addresses the inter-relationships between the customer requirements (CRs) with the aid of decision-making trial and evaluation laboratory (DEMATEL) method while constructing a relationship structure.
304 citations
TL;DR: Evaluation based on Distance from Average Solution (EDAS) is a new multicriteria decision making (MCDM) method, which is based on the distances of alternatives from the average scores of attributes as discussed by the authors.
Abstract: Evaluation based on Distance from Average Solution (EDAS) is a new multicriteria decision making (MCDM) method, which is based on the distances of alternatives from the average scores of attributes...
195 citations
TL;DR: This study provides a novel integrated multi-criteria decision-making approach to sustainable supplier selection problems by combining analytic network process and quality function deployment and identifies a clear hierarchical structure for all the relevant sustainable factors and sub-factors.
Abstract: This study provides a novel integrated multi-criteria decision-making approach to sustainable supplier selection problems. Despite the large supply chain management literature on green performance measurement, the need for a systematic analysis of how specific sustainable variables develop and affect each other remains mostly overlooked. The proposed integrated framework allows for such an analysis. By combining analytic network process and quality function deployment, our model identifies a clear hierarchical structure for all the relevant sustainable factors and sub-factors while weighting the decision criteria based on the importance given to customer requirements. Finally, suppliers are ranked using a multi-objective optimisation procedure based on ratio analysis and weighted aggregated sum product assessment. The proposed framework is used to analyse a case study of a dairy company, but it can be easily implemented for supplier selection by any other company with similar features.
146 citations
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TL;DR: The proposed intuitionistic fuzzy EDAS method, which is based on the data belonging to membership, nonmembership, and hesitance degrees, is applied to the evaluation of solid waste disposal site selection alternatives.
Abstract: Evaluation based on Distance from Average Solution (EDAS) is a new multicriteria decision making (MCDM) method, which is based on the distances of alternatives from the average scores of attributes.
120 citations
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TL;DR: The results show that FUCOM provides better results than the BWM and AHP methods, when the relation between consistency and the required number of the comparisons of the criteria are taken into consideration.
Abstract: In this paper, a new multi-criteria problem solving method—the Full Consistency Method (FUCOM)—is proposed. The model implies the definition of two groups of constraints that need to satisfy the optimal values of weight coefficients. The first group of constraints is the condition that the relations of the weight coefficients of criteria should be equal to the comparative priorities of the criteria. The second group of constraints is defined on the basis of the conditions of mathematical transitivity. After defining the constraints and solving the model, in addition to optimal weight values, a deviation from full consistency (DFC) is obtained. The degree of DFC is the deviation value of the obtained weight coefficients from the estimated comparative priorities of the criteria. In addition, DFC is also the reliability confirmation of the obtained weights of criteria. In order to illustrate the proposed model and evaluate its performance, FUCOM was tested on several numerical examples from the literature. The model validation was performed by comparing it with the other subjective models (the Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)), based on the pairwise comparisons of the criteria and the validation of the results by using DFC. The results show that FUCOM provides better results than the BWM and AHP methods, when the relation between consistency and the required number of the comparisons of the criteria are taken into consideration. The main advantages of FUCOM in relation to the existing multi-criteria decision-making (MCDM) methods are as follows: (1) a significantly smaller number of pairwise comparisons (only n − 1), (2) a consistent pairwise comparison of criteria, and (3) the calculation of the reliable values of criteria weight coefficients, which contribute to rational judgment.
381 citations
01 Jan 2006
368 citations
TL;DR: In this article, a combined compromise decision-making algorithm with the aid of some aggregation strategies is presented. And the authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results.
Abstract: Purpose The purpose of this paper is to discuss the advantage of a combinatory methodology presented in this study. The paper suggests that the comparison with results of previously developed methods is in high agreement. Design/methodology/approach This paper introduces a combined compromise decision-making algorithm with the aid of some aggregation strategies. The authors have considered a distance measure, which originates from grey relational coefficient and targets to enhance the flexibility of the results. Hence, the weight of the alternatives is placed in the decision-making process with three equations. In the final stage, an aggregated multiplication rule is employed to release the ranking of the alternatives and end the decision process. Findings The authors described a real case of choosing logistics and transportation companies in France from a supply chain project. Some comparisons such as sensitivity analysis approach and comparing to other studies and methods provided to validate the performance of the proposed algorithm. Originality/value The algorithm has a unique structure among MCDM methods which is presented for the first time in this paper.
345 citations
TL;DR: In this paper, a framework on sustainable supplier management is proposed and a comprehensive content analysis including a criteria analysis is carried out, in total 143 peer-reviewed publications between 1997 and 2014 have been analyzed to identify both established and overlooked research fields.
Abstract: In the last two decades, pressure from various stakeholders has forced many companies to establish environmental and social improvements both in their company and their supply chains. The growing number of journal publications and conference proceedings confirms this change also in academia. The aim of this paper is to analyse and review scientific literature on sustainable supplier management (SSM) with a focus on formal models supporting decision-making in sustainable supplier selection, monitoring and development. For this purpose, a framework on SSM is proposed and a comprehensive content analysis including a criteria analysis is carried out. Beyond this, in total 143 peer-reviewed publications between 1997 and 2014 have been analysed to identify both established and overlooked research fields. Major findings are the rapidly growing interest of this topic in academia in recent years, the predominance of Analytic Hierarchy Process, Analytic Network Process and fuzzy-based approaches, the focus on the f...
318 citations
TL;DR: This study shows the recent developments of TOPSIS approach which are presented by previous scholars and indicated that, previous studies have modifications related to this technique in 2011 more than other years.
Abstract: In recent years several previous scholars made attempts to develop, extend, propose and apply Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for solving problems in decision making issues Indeed, there are questions, how TOPSIS can help for solving these problems? Or does TOPSIS solved decision making problems in the real world? Therefore, this study shows the recent developments of TOPSIS approach which are presented by previous scholars To achieve this objective, there are 105 reviewed papers which developed, extended, proposed and presented TOPSIS approach for solving DM problems The results of the study indicated that 49 scholars have extended or developed TOPSIS technique and 56 scholars have proposed or presented new modifications for problems solution related to TOPSIS technique from 2000 to 2015 In addition, results of this study indicated that, previous studies have modifications related to this technique in 2011 more than other years
315 citations