Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods

Nuh Keleş; Ayhan Demirci

doi:10.17541/optimum.1572768

TR EN

Çok Kriterli Karar Verme Yöntemleri ile Otomotiv Üretim Sektöründe Kullanılan Artırılmış Gerçeklik Gözlüklerinin Seçimi

Abstract

Artırılmış Gerçeklik Gözlükleri (ARG) teknolojisi son yıllarda eğlence amaçlı sanal oyunlar oynamasıyla insanların hayatına girmiş olup yenilik isteğine bağlı olarak film endüstrisi, depolama sistemleri, askeri alan ve mühendislikte de kullanım alanı bulmaya başlamıştır. Bu çalışmada, otomobil üretim endüstrisinde operasyonel süreçleri hızlandırmak, basitleştirmek ve etkinleştirmek için Çok Kriterli Karar Verme (ÇKKV) yöntemleriyle ARG seçimi yapılması amaçlanmıştır. Bu çalışmada sekiz farklı ARG alternatifi ve dokuz kriter (pil gücü, görüş alanı, fiyat, kamera, parlaklık, ekran çözünürlüğü, dahili bellek, RAM ve ağırlık) belirlenmiştir. Kriter değerlendirmesinde CRITIC yöntemi, alternatif sıralamalarında ise ARAS, EDAS ve CODAS yöntemleri kullanılmıştır. Diğer alternatiflere göre daha fazla optimum değere sahip olan Vuzix M4000 marka/model ARG ilk sırada gelmektedir. Kriter ağırlıkları bulunurken CRITIC yönteminin makul ve yakın kriter ağırlıkları bulduğu söylenebilir. Gelecekteki çalışmalarda, farklı model ve özelliklere sahip ARG'ler analize dahil edilebilir ve bu çalışmadan elde edilen bulgularla karşılaştırılabilir.

Keywords

Artırılmış Gerçeklik, Otomobil Üretim Endüstrisi, MCDM Yöntemleri

Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods

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.

Keywords

Augmented Reality, Automobile Manufacturing Industry, MCDM Methods

References

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Details

Primary Language

English

Subjects

Business Administration

Journal Section

Research Article

Authors

Nuh Keleş ^*
0000-0001-6768-728X
Türkiye

Ayhan Demirci
0000-0003-3788-4586
Türkiye

Publication Date

July 1, 2025

Submission Date

October 23, 2024

Acceptance Date

May 29, 2025

Published in Issue

Year 2025 Volume: 12 Number: 2

DOI

https://doi.org/10.17541/optimum.1572768

IZ

https://izlik.org/JA34XA85KS

APA

Keleş, N., & Demirci, A. (2025). Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods. Optimum Ekonomi Ve Yönetim Bilimleri Dergisi, 12(2), 425-446. https://doi.org/10.17541/optimum.1572768

AMA

1.Keleş N, Demirci A. Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods. OJEMS. 2025;12(2):425-446. doi:10.17541/optimum.1572768

Chicago

Keleş, Nuh, and Ayhan Demirci. 2025. “Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods”. Optimum Ekonomi Ve Yönetim Bilimleri Dergisi 12 (2): 425-46. https://doi.org/10.17541/optimum.1572768.

EndNote

Keleş N, Demirci A (July 1, 2025) Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods. Optimum Ekonomi ve Yönetim Bilimleri Dergisi 12 2 425–446.

IEEE

[1]N. Keleş and A. Demirci, “Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods”, OJEMS, vol. 12, no. 2, pp. 425–446, July 2025, doi: 10.17541/optimum.1572768.

ISNAD

Keleş, Nuh - Demirci, Ayhan. “Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods”. Optimum Ekonomi ve Yönetim Bilimleri Dergisi 12/2 (July 1, 2025): 425-446. https://doi.org/10.17541/optimum.1572768.

JAMA

1.Keleş N, Demirci A. Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods. OJEMS. 2025;12:425–446.

MLA

Keleş, Nuh, and Ayhan Demirci. “Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods”. Optimum Ekonomi Ve Yönetim Bilimleri Dergisi, vol. 12, no. 2, July 2025, pp. 425-46, doi:10.17541/optimum.1572768.

Vancouver

1.Nuh Keleş, Ayhan Demirci. Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods. OJEMS. 2025 Jul. 1;12(2):425-46. doi:10.17541/optimum.1572768

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Çok Kriterli Karar Verme Yöntemleri ile Otomotiv Üretim Sektöründe Kullanılan Artırılmış Gerçeklik Gözlüklerinin Seçimi

Abstract

Keywords

Selecting the Augmented Reality Glasses Used in the Automobile Manufacturing Industry by Multi-Criteria Decision-Making Methods

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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