PİSAGOR BULANIK SAYILARA DAYALI CRITIC-MARCOS YÖNTEMİ İLE OTONOM FORKLİFT SEÇİMİ

Year 2024, Volume: 32 Issue: 3, 1485 - 1499

Elif Çaloğlu Büyükselçuk

https://doi.org/10.31796/ogummf.1496123

Abstract

Üretim ve depolama işletmelerinde forkliftler işletmenin verimliliğini arttırmak amacıyla yaygın olarak kullanılmaktadır. Özellikle son yıllarda teknolojide yaşanan gelişmeler ve Endüstri 4.0 uygulamaları ile otonom forkliftler modern işletmelerde klasik forkliftlerin yerini almaktadır. Çevre dostu ve 24 saat çalışabilen bu araçlar ile işletme bünyesinde verim artırılırken aynı zamanda insan hatasından kaynaklı kazalar da önlenebilmektedir. Bu çalışma, modern işletmelere otonom forklift belirleme sürecinde destek olmak üzere geliştirilmiştir. Bu araçların seçiminde hangi kriterlerin dikkate alınması gerektiği literatür taraması sonucunda belirlenmiştir. Bu süreçte yaşanabilecek belirsizlik ve sübjektifliğin etkilerini en aza indirebilmek amacıyla Pisagor bulanık sayılardan yararlanarak problem çözülmüştür. CRITIC (Criteria Importance Through Intercriteria Correlation) yöntemi ile kriterlere ait ağırlıklar belirlendikten sonra MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) yöntemi kullanılarak alternatifler değerlendirilmiştir. Sonuç olarak, belirlenen sekiz farklı kriter içerisinden şarj süresi, dönme yarıçapı ve maksimum kaldıracağı yük miktarı en önemli kriter olarak belirlenmiştir. Farklı değerlendirme kriterleri için en iyi alternatif olarak Kuzey Amerika’da üretilen A7 alternatifi belirlenmiştir.

Keywords

Otonom forklift, Pisagor bulanık sayılar, CRITIC, MARCOS, Çok kriterli karar verme

PYTHAGOREAN FUZZY-BASED CRITIC-MARCOS METHOD FOR AUTONOMOUS FORKLIFT SELECTION

Abstract

In production and storage facilities, forklifts are commonly used to increase the efficiency of operations. Particularly in recent years, advancements in technology and the implementation of Industry 4.0 practices have led to the adoption of autonomous forklifts in modern enterprises, replacing conventional forklifts. These environmentally friendly and 24/7 operational vehicles not only enhance productivity within the organization but also mitigate accidents stemming from human error. This study has been developed to support modern enterprises in the process of selecting autonomous forklifts. The criteria for selecting these vehicles have been determined through a review of the literature. To minimize the impact of uncertainties and subjectivity in this process, the problem has been solved using Pythagorean fuzzy numbers. After determining the weights of the criteria with the CRITIC (Criteria Importance Through Intercriteria Correlation) method, the alternatives were evaluated using the MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method. In conclusion, among the eight specified criteria, charging time, turning radius, and maximum load capacity have been identified as the most significant criteria. As the optimal alternative for different evaluation criteria, the A7 alternative produced in North America has been determined.

Keywords

Autonomous forklift, Pythagorean fuzzy numbers, CRITIC, MARCOS, Multi-criteria decision-making

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