COST OPTMIZATION WITH INTERNET SUPPORTED FMEA AND FUZZY FMEA ANALYSIS

Author:

ARSLAN KAZAN Ceren1ORCID,KORUCA Halil2ORCID,KARATOP Buket3ORCID

Affiliation:

1. SÜLEYMAN DEMİREL ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ, ENDÜSTRİ MÜHENDİSLİĞİ (DR)

2. https://w3.sdu.edu.tr/personel/01252/doc-dr-halil-ibrahim-koruca

3. İSTANBUL ÜNİVERSİTESİ-CERRAHPAŞA, TEKNİK BİLİMLER MESLEK YÜKSEKOKULU, TEKNİK PROGRAMLAR BÖLÜMÜ

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.

Publisher

Mehmet Akif Ersoy Universitesi Iktisadi ve Idari Bilimler Fakultesi Dergisi

Subject

Organic Chemistry,Biochemistry

Reference28 articles.

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2. 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.

3. 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. Retrieved from https://dergipark.org.tr/tr/pub/susead/issue/28423/302689.

4. Çiğdem, M. (2006). Manufacturing methods (2nd edn.). İstanbul, Çağlayan Bookstore Publishing,

5. 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 (Unpublished master's thesis).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.

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