COST OPTMIZATION WITH INTERNET SUPPORTED FMEA AND FUZZY FMEA ANALYSIS

Objective & Hypothesis:The global competitive environment forces businesses to produce high-quality and low-cost products and they develop strategies in this regard.

📊

Key Findings & Data: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.

💡

Conclusion & Impact:Simultaneously, traditional FMEA and fuzzy FMEA results were compared.

🔬Design:Research Article

📍Scope:Comprehensive Sample

⚙️Variables:Hata Türü ve Etkileri Analizi (HTEA) · Bulanık HTEA · Üretim

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.

Özet

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

🔖

Cite This Article

KAZAN, C. A., KORUCA, H., KARATOP, B. (2023). COST OPTMIZATION WITH INTERNET SUPPORTED FMEA AND FUZZY FMEA ANALYSIS. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, Cilt: 10 Sayı: 2, 950–970. https://ajindex.com/articles/966529

📄 Full Text PDF Viewer

Open in New Tab ↗

↗New Tab

📄

PDF görüntüleyici hazırlanıyor...

References (5)

Besterfield, D.H., Besterfield, C., Besterfield, G., & Besterfield, M. (1999). Total Quality Management (3rd ed.). America, Prentice Hall Publishing. Çeber, Y. (2010). Application of failure mode and effects analysis method (FMEA) in manufacturing industry (Master's thesis, Dokuz Eylül University, Izmir). Access address https://acikerisim.deu.edu.tr/xmlui/handle/20.500.12397/10839.
Çevik, O., and Aran, G. (2009). Failure mode effects analysis (FMEA) in the quality improvement process and an application in piston production. Journal of Social and Economic Research, 8(16), 241-265.
Çiğdem, M. (2006). Manufacturing methods (2nd edn.). İstanbul,
Çağlayan Bookstore Publishing, Dağcı, B. (2019). Analysis of error types and effects in the quality improvement process and investigation of errors by data mining: an application in the machining industry. (Unpublished master's thesis). Karabuk University Institute of Science and Technology Industrial Engineering Department, Karabük. Filz, M. A., Langner, J. E. B., Hermann, C., and Thiede, S. (2021). Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning. Computers in Industry, 129, 103451. doi: 10.1016/j.compind.2021.103451. Fuzzification and Defuzzification. (t.y.) Difference between fuzzification and defuzzification içinde. 16 Mart 2022 tarihinde https://www.geeksforgeeks.org/difference-between-fuzzification-and-defuzzification/ adresinden erişildi. Ghani, A. J., Harron, C. H. C., Hamdan, S. H., Said, A. Y., and Tomadi, A. Y. (2013). Failure mode analysis of carbide cutting tools used for machining titanium alloy. Ceramics International, 39(4), 4449-4456. doi: 10.1016/j.ceramint.2012.11.038. Gönen, D. (2004). Failure modes and effects analysis and an application study (Master's thesis, Balıkesir University, Balıkesir). Access address info:eu-repo/semantics/openAccess Gül, B. (2001). Failure mode and effects analysis in quality management (Unpublished master's thesis). Gazi University Institute of Science and Technology Industrial Engineering Department, Ankara.
Güngör, F., & Paçal, K. (2004). The effect of risk analysis in planning of machining system. IV. Proceedings of the National Production Research Symposium. Turkey: Conference publication. Güngör, F., & Paçal, K. (2006). The effect of risk analysis on the planning of the machining system. UAS 2006, VI. National Production Research Symposium (1-6 pp). Turkey.