Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS)

Ghorabaee, Mehdi Keshavarz; Zavadskas, Edmundas Kazimieras; Olfat, Laya; Turskis, Zenonas

doi:10.15388/informatica.2015.57

Cited by 951 publications

(392 citation statements)

References 44 publications

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“…The EDAS method was developed by Keshavarz Ghorabaee et al (2015). The method is very useful when it has been some conflicting criteria.…”

Section: The Edas Methodsmentioning

confidence: 99%

“…It is need to calculate two measures dealing with the desirability of the alternatives: the positive distance from average (PDA) and the negative distance from average (NDA). As n and m represent number of alternative and number of criterion, respectively, the steps of this method are presented as follows (Keshavarz Ghorabaee et al 2015):…”

Section: The Edas Methodsmentioning

confidence: 99%

“…As one of the most widely utilized MCDM techniques AHP is proposed by Saaty (1980) to solve complex MCDM problems involving qualitative decisions. On the other hand, EDAS method developed by Keshavarz Ghorabaee et al (2015) is a relatively new MCDM method. The method utilizes an average solution for appraising the alternatives.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Third-Party Logistics (3pls) Provider Selection via Fuzzy Ahp and Edas Integrated Model

Ecer

2017

Technological and Economic Development of Economy

141

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Abstract. In the global competitive environment, companies not only improve the quality of service and increase the efficiency, they also decrease the cost by means of third-party logistics (3PLs). 3PLs, therefore, is an important strategy for companies desiring to gain a competitive advantage and 3PLs provider selection plays a critical role for the success of outsourcing. Nevertheless, the level of uncertainty in the selection process is relatively high and need to be carefully considered. Hence, in order to select a proper 3PLs provider, integration of the Fuzzy AHP and Evaluation based on Distance from Average Solution (EDAS) has offered a novel integrated model, in which Fuzzy AHP is used for calculating priority weights of each criteria and EDAS is employed to achieve the final ranking of 3PLs providers. Besides, in order to demonstrate the applicability of the proposed model, it is validated by a case study. Cost together with quality, and professionalism are found to be the most important factors for 3PLs provider selection. Consequently, the advantage of this model is that it is simple to apprehend and easy to apply. The use of the proposed model leads to the selection of suitable alternative successfully in other selection problems.

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“…The EDAS method was developed by Keshavarz Ghorabaee et al (2015). The method is very useful when it has been some conflicting criteria.…”

Section: The Edas Methodsmentioning

confidence: 99%

Section: The Edas Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Third-Party Logistics (3pls) Provider Selection via Fuzzy Ahp and Edas Integrated Model

Ecer

2017

Technological and Economic Development of Economy

141

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show abstract

“…The EDAS method is a new and efficient MCDM method introduced by Keshavarz Ghorabaee, Zavadskas, Olfat and Turskis [30], and has been extended to deal with fuzzy MCDM problems [31].…”

Section: Dynamic Fuzzy Edasmentioning

confidence: 99%

A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation

et al. 2018

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Selection of appropriate subcontractors for outsourcing is very important for the success of construction projects. This can improve the overall quality of projects and promote the qualification and reputation of the main contractors. The evaluation of subcontractors can be made by some experts or decision-makers with respect to some criteria. If this process is done in different time periods, it can be defined as a dynamic multi-criteria group decision-making (MCGDM) problem. In this study, we propose a new fuzzy dynamic MCGDM approach based on the EDAS (Evaluation based on Distance from Average Solution) method for subcontractor evaluation. In the procedure of the proposed approach, the sets of alternatives, criteria and decision-makers can be changed at different time periods. Also, the proposed approach gives more weight to newer decision information for aggregating the overall performance of alternatives. A numerical example is used to illustrate the proposed approach and show the application of it in subcontractor evaluation. The results demonstrate that the proposed approach is efficient and useful in real-world decision-making problems.

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“…AHP (Saaty 1980), TOPSIS (Hwang, Yoon 1981), ELECTRE (Roy 1968), PROMETHEE (Brans et al 1984), MACBETH (Bana e Costa, Vansnick 1994), COPRAS (Zavadskas, Kaklauskas 1996), VIKOR (Opricovic 1998), MOORA (Brauers, Zavadskas 2006), ARAS , SWARA (Keršulienė et al 2010), WASPAS (Zavadskas et al 2012), FARE (Ginevicius 2011), MULTIMOORA (Brauers, Zavadskas 2010), BWM (Rezaei 2015) and EDAS (Keshavarz Ghorabaee et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Madm and Futures Studies; A Necessity

Zolfani

Maknoon

Zavadskas

2016

9th International Scientific Conference “Business and Management 2016”

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Abstract. Multiple Attribute Decision Making (MADM) has been developing in different methods, perspectives and frameworks since introducing step. Futures Studies as a specialized framework and methodology has introduced newer and has been always in developing phase too. MADM as a part of Multiple Criteria Decision Making is known as multi-disciplinary approach, framework and methodology. Nowadays, Futures Studies is also known as multi-disciplinary approach too. Basically, MADM is structured for a stable environment while most decisions need to be made, dynamically. Time is so much important especially in the new century in comparison with the past. Decisions making about future are usually so complicated and MADM can be helpful in that process. Importance of making future based decisions is undeniable in trying to answer to decision needs. This research will present a comprehensive review on the literature of MADM and new orientations in considering future in MADM models and necessity of them will be checked also carefully. Eventually, importance of seeing both MADM and Futures Studies together as a unit model will be discussed in this study.

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Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS)

Cited by 951 publications

References 44 publications

Third-Party Logistics (3pls) Provider Selection via Fuzzy Ahp and Edas Integrated Model

Third-Party Logistics (3pls) Provider Selection via Fuzzy Ahp and Edas Integrated Model

A Dynamic Fuzzy Approach Based on the EDAS Method for Multi-Criteria Subcontractor Evaluation

Madm and Futures Studies; A Necessity

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