APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION

Neşe Yalçın; Nuşin Uncu

APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION

Abstract

In order to stay an actual competitor in today’s environment, it is essential for manufacturing organizations to make decisions promptly and correctly. In the real-time manufacturing decision making problems, some alternatives are more likely to be evaluated with respect to multiple conflicting criteria. Several multi-criteria decision-making (MCDM) methods have been available to help decision makers in choosing the best decisive course of actions. The aim of the study is to apply an efficient and relatively new method called Evaluation based on Distance from Average Solution (EDAS) as an applicable and useful MCDM method for robot selection problem (RSP). In order to examine the feasibility and effectiveness of the presented method, several numerical examples from the literature are considered. Comparing with other methods especially MCDM methods given in the literature for the industrial RSPs, the Spearman’s rank correlations analysis indicates that this method is capable of accurately ranking selected robots.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Neşe Yalçın This is me
0000-0002-9489-5401
Türkiye

Nuşin Uncu This is me
0000-0003-3030-3363
Türkiye

Publication Date

September 1, 2020

Submission Date

September 16, 2018

Acceptance Date

March 11, 2019

Published in Issue

Year 2019 Volume: 37 Number: 3

IZ

https://izlik.org/JA93JF72BT

Cite

RIS / Bibtex

APA

Yalçın, N., & Uncu, N. (2020). APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION. Sigma Journal of Engineering and Natural Sciences, 37(3), 779-796. https://izlik.org/JA93JF72BT

AMA

1.Yalçın N, Uncu N. APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION. SIGMA. 2020;37(3):779-796. https://izlik.org/JA93JF72BT

Chicago

Yalçın, Neşe, and Nuşin Uncu. 2020. “APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION”. Sigma Journal of Engineering and Natural Sciences 37 (3): 779-96. https://izlik.org/JA93JF72BT.

EndNote

Yalçın N, Uncu N (September 1, 2020) APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION. Sigma Journal of Engineering and Natural Sciences 37 3 779–796.

IEEE

[1]N. Yalçın and N. Uncu, “APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION”, SIGMA, vol. 37, no. 3, pp. 779–796, Sept. 2020, [Online]. Available: https://izlik.org/JA93JF72BT

ISNAD

Yalçın, Neşe - Uncu, Nuşin. “APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION”. Sigma Journal of Engineering and Natural Sciences 37/3 (September 1, 2020): 779-796. https://izlik.org/JA93JF72BT.

JAMA

1.Yalçın N, Uncu N. APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION. SIGMA. 2020;37:779–796.

MLA

Yalçın, Neşe, and Nuşin Uncu. “APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION”. Sigma Journal of Engineering and Natural Sciences, vol. 37, no. 3, Sept. 2020, pp. 779-96, https://izlik.org/JA93JF72BT.

Vancouver

1.Neşe Yalçın, Nuşin Uncu. APPLYING EDAS AS AN APPLICABLE MCDM METHOD FOR INDUSTRIAL ROBOT SELECTION. SIGMA [Internet]. 2020 Sep. 1;37(3):779-96. Available from: https://izlik.org/JA93JF72BT