NESNELERİN İNTERNETİ DESTEKLİ HTEA VE BULANIK HTEA ANALİZİ İLE MALİYET OPTİMİZASYONU

Year 2023, Volume: 10 Issue: 2, 950 - 970, 02.08.2023

Ceren Arslan Kazan , Halil Koruca , Buket Karatop

https://doi.org/10.30798/makuiibf.1097590

Cited By: 1

Abstract

Küresel rekabet ortamı işletmeleri yüksek kaliteli ve düşük maliyetli ürünler üretmeye zorlamaktadır ve bu konuda stratejiler geliştirmektedirler. Aynı zamanda üretimdeki rislerin belirlenerek bunların (bu risklerin) kalite ve maliyete etkilerinin giderilmesi gerekir. FMEA yöntemi risk analizinde etkili sonuçlar veren bir yöntemdir. Bu çalışmada ürün ve yarı mamül çeşitliliği fazla olan bir işletmenin talaşlı imalat atölyesinde geleneksel FMEA ve Fuzzy FMEA analizleri yapılmıştır. Gömülü bir dizi veri işleme kartının desteğiyle çalışan İOT teknolojisi ile gerçek zamanlı veriler elde edilmiştir. Bu verilerde üretimde darboğaz oluşturan hatalar belirlenmiştir ki bu veriler makine operatörüne bağlı olmadan elde edilmiştir. Üç aylık dönem için yapılan analiz ile en riskli konularda iyileştirmeler yapılarak üretim maliyetlerinde toplamda %6 düşüş sağladığı maliyet ile ilgili kayıtlarında gözlemlenmiştir. Aynı zamanda geleneksel FMEA ve fuzzy FMEA sonuçları karşılaştırılmıştır.

Keywords

Hata Türü ve Etkileri Analizi (HTEA), Bulanık HTEA, Üretim, Risk Analizi, Maliyet Optimizasyonu

COST OPTMIZATION WITH INTERNET SUPPORTED FMEA AND FUZZY FMEA ANALYSIS

Abstract

The global competitive environment forces businesses to produce high-quality and low-cost products and they develop strategies in this regard. At the same, production risks should be identified and their effects on quality and cost should be minimized. The FMEA method is a risk analysis method that produces effective results. Traditional FMEA and Fuzzy FMEA analyses were conducted in the machining workshop of an enterprise with a wide range of products and semi-products in this study. Real-time data was obtained with the help of an embedded set of data processing cards, which use IoT technology. These data have been used to identify errors that cause production bottlenecks, and they were obtained without relying on the machine operator. Improvements were made in the riskiest subjects during the three-month analysis, and it was discovered in the cost records that a total reduction of 6% in production costs was achieved. Simultaneously, traditional FMEA and fuzzy FMEA results were compared.

Keywords

Failure Mode and Effect Analysis (FMEA), Fuzzy FMEA, Production, Risk Analyses, Cost Optimization

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