Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods
Year: 2025
Type: article
Abstract: Augmented Reality Glasses (ARG) technology has entered people’s lives in recent years by playing virtual games for entertainment purposes and has also begun to find use in the film industry, storage systems, military field, and engineering, depending on the desire for innovation. This study aims to select ARG via Multi-Criteria Decision-Making (MCDM) methods to accelerate, simplify, and activate operational processes in the automobile manufacturing industry. This study determined eight different ARG alternatives, and nine criteria (battery power, field of view, price, camera, brightness, display resolution, internal memory, RAM, and weight). The CRITIC method is used in criteria evaluation, and ARAS, EDAS, and CODAS methods are used in alternative rankings. Vuzix M4000 brand/model ARG, which has more optimum values than other alternatives, comes first. While finding criterion weights, it can be said that the CRITIC method finds reasonable and close criterion weights. In future studies, ARGs with different models and features can be included in the analysis and compared with the findings obtained from this study.
Authors: Nuh Keleş, Ayhan Demirci
Institution: Toros University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4412014822