Teleskopik Platform Üretiminde Kalite Sorunlarının Değerlendirilmesi için FMEA Tabanlı Bulanık Topsis

Year 2022, , 875 - 884, 30.12.2022

Mahire Seray Bocut Nuşin Uncu

https://doi.org/10.21605/cukurovaumfd.1230787

Cited By: 1

Abstract

Proses ve ürün kalitesini hızlı ve en az maliyetli şekilde arttırmak için önemli kalite sorunlarına neden olan prosese odaklanmak oldukça faydalıdır. Bu çalışmada otomotiv sektöründe araç üstü ekipman üretimi yapan bir firmada kalite sorunları ve buna bağlı süreçler incelenmiştir. Bu çalışmanın amacı, süreç ve ürün hatalarını azaltmak için kalite iyileştirme perspektifi sağlamaktır. Arızaları tespit etmek, nedenlerini belirlemek ve önceliklendirmek için Hata Türü ve Etkileri Analizi (HTEA) uygulanmıştır. Kritik kalite hataları geleneksel HTEA ve HTEA tabanlı bulanık İdeal Çözüme Benzerliğe Göre Tercih Sıralama tekniği (TOPSIS) kullanılarak ortaya konulmuştur. HTEA tabanlı bulanık TOPSIS yöntemi, karar vericilerin öznel yargılarından kaynaklanan belirsizliği ele alma yeteneği nedeniyle önerilmiştir. Sonuçlar karşılaştırılmış ve kalite problemine neden olan en önemli proses hatası için önlemler sunulmuştur.

Keywords

HTEA, Hata, Bulanık TOPSIS, Araç üstü ekipman, Çok kriterli karar verme

FMEA Based Fuzzy Topsis for Assessment of Quality Problems in Telescopic Platform Production

Abstract

In order to increase process and product quality fast and least costly, it is very useful to focus on the process that causes the important quality problems. In this study, quality problems and related processes in a company that produces on-vehicle equipment in the automotive industry are examined. The purpose of this study is to provide a quality improvement perspective to reduce process and product defects. Fault Mode and Effects Analysis (FMEA) is applied to detect faults, determine their causes and prioritize them. Prioritization of critical quality errors is revealed using traditional FMEA and FMEA-based fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The FMEA-based fuzzy TOPSIS method has been proposed because of its ability to handle uncertainty arising from the subjective judgments of decision makers. The results are compared and the preventions are suggested to avoid from the most important process that causes the quality problem.

Keywords

FMEA, Failure, Fuzzy TOPSIS, On-vehicle equipment, Multicriteria decision making

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