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Title

Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot

  Mahmoud Ismail 1 * ,   Shereen Zaki 2

1  Deapartment of Decision support, Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
    (mmsabe@zu.edu.eg)

2  Deapartment of Decision support, Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
    (szsoliman@fci.zu.edu.eg)

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Doi   :   https://doi.org/10.54216/NIF.010101

Received: July 25, 2022 Accepted: January 05, 2023

Abstract :

Industrial robots have made it possible for industrial companies to make goods of a good quality at lower costs. As a result, industrial robots are an integral component of sophisticated manufacturing systems. Industrial robots may be programmed to do a wide variety of tasks, including welding, painting, construction, and debugging. All of the elements are completed with an exceptional level of endurance, swiftness, and accuracy. The efficiency of industrial robots is governed by a number of different factors, some of which are in direct opposition to one another; for a strong choice approach, all of these criteria must be examined concurrently. For the purpose of selecting an industrial robot for the arc soldering process, a straightforward multi-criteria decision-making (MCDM) approach that is VIKOR method will be described in this research. The VIKOR method used to rank the robots. The results of the VIKOR methodology are provided here in the form of a priority of rating. The findings demonstrated that the MCDM strategies are highly helpful when selecting robots to utilize.

Keywords :

Neutrosophic Sets; MCDM; Welding Robot; VIKOR; Selection Problem.

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Cite this Article as :
Style #
MLA Mahmoud Ismail, Shereen Zaki. "Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot." Neutrosophic and Information Fusion, Vol. 1, No. 1, 2023 ,PP. 08-16 (Doi   :  https://doi.org/10.54216/NIF.010101)
APA Mahmoud Ismail, Shereen Zaki. (2023). Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot. Journal of Neutrosophic and Information Fusion, 1 ( 1 ), 08-16 (Doi   :  https://doi.org/10.54216/NIF.010101)
Chicago Mahmoud Ismail, Shereen Zaki. "Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot." Journal of Neutrosophic and Information Fusion, 1 no. 1 (2023): 08-16 (Doi   :  https://doi.org/10.54216/NIF.010101)
Harvard Mahmoud Ismail, Shereen Zaki. (2023). Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot. Journal of Neutrosophic and Information Fusion, 1 ( 1 ), 08-16 (Doi   :  https://doi.org/10.54216/NIF.010101)
Vancouver Mahmoud Ismail, Shereen Zaki. Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot. Journal of Neutrosophic and Information Fusion, (2023); 1 ( 1 ): 08-16 (Doi   :  https://doi.org/10.54216/NIF.010101)
IEEE Mahmoud Ismail, Shereen Zaki, Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot, Journal of Neutrosophic and Information Fusion, Vol. 1 , No. 1 , (2023) : 08-16 (Doi   :  https://doi.org/10.54216/NIF.010101)
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