Neutrosophic and Information Fusion
NIF
2836-7863
10.54216/NIF
https://www.americaspg.com/journals/show/1593
2023
2023
Neutrosophic MCDM Methodology to Select Best Industrial Arc Welding Robot
Deapartment of Decision support, Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
Mahmoud
Ismail
Deapartment of Decision support, Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
Shereen
Zaki
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.
2023
2023
08
16
10.54216/NIF.010101
https://www.americaspg.com/articleinfo/39/show/1593