Process Based Failure Mode Analysis with Fuzzy Multi Criteria Decision Making Methods in Supply Chain Risk Management

Year 2022, Volume: 8 Issue: 1, 86 - 104, 10.03.2022

Pelin Poyraz , Fuat Şimşir

https://doi.org/10.28979/jarnas.937779

Cited By: 2

Abstract

Today, increasing supply chain risks are encountered as a result of increasing natural disasters, rapid development of technology, shortening of product life, increasing costs, political reasons, uncertainties in supply and demand. Businesses have to systematically manage their supply chain risks in order to gain competitive advantage, meet customer expectations, increase their market share in the sector and maintain their sustainability. In the study, errors that occur in the demand planning process of a company in the air conditioning and heating sector were analyzed. In this study, due to the weaknesses of the Process FMEA method, it is aimed to introduce a new process-step approach based on Fuzzy SWARA-Fuzzy COPRAS to risk analysis. The aim is to improve the weaknesses of Process FMEA method in the way that expert decision makers cannot consider their knowledge and experience in evaluations. Fuzzy SWARA and Fuzzy COPRAS based process step MCDM (Multi Criteria Decision Making) model is proposed for risk analysis. The SWARA method was used to determine the importance levels of the criteria, and the COPRAS method was used to sort the errors. According to this method, the most important errors; It has been determined that "the deficient production is noticed in the production deficit report as a result of incomplete or incorrect demand figures" and "the incomplete production is noticed at the S&OP (Sales and Operation Planning) meeting as a result of incomplete or incorrect demand numbers uploaded to the system. In future studies, the effectiveness of risk analysis can be evaluated with similar approaches and integrated into decision support systems and used in the evaluation of current or future scenarios.

Keywords

Risk analysis, failure modes and effect analysis, multi criteria decision making, fuzzy SWARA, fuzzy COPRAS

Tedarik Zinciri Risk Yönetiminde Bulanık Çok Kriterli Karar Verme Yöntemleri ile Süreç Bazlı Hata Türleri Analizi

Abstract

Günümüzde; doğal afetlerin artması, teknolojinin hızla gelişmesi, ürün ömrünün kısalması, maliyetlerin artması, politik sebepler, arz ve talepteki belirsizlikler sonucu giderek artan tedarik zinciri riskleri ile karşılaşılmaktadır. İşletmeler rekabet avantajı sağlayabilmek, müşteri beklentilerini karşılayabilmek, sektörde pazar paylarını artırabilmek ve sürdürülebilirliklerini koruyabilmek için tedarik zinciri risklerini sistemli bir şekilde yönetmek durumundadırlar. Çalışmada, iklimlendirme ve ısıtma sektöründeki bir firmanın talep planlama sürecinde oluşan hatalar analiz edilmiştir. Bu çalışmada amaçlanan; Süreç HTEA (Hata Türü ve Etkileri Analizi) yönteminin zayıf yönleri sebebiyle, risk analizine Bulanık SWARA-Bulanık COPRAS tabanlı süreç aşamalı yeni bir yaklaşım getirmektir. Süreç HTEA yönteminin, alanında uzman karar vericilerin bilgi ve tecrübelerini değerlendirmelerde göz önüne alamaması şeklindeki zayıflıklarını iyileştirmek hedeflenmiştir. Bu amaçla, risk analizi için Bulanık SWARA-COPRAS tabanlı süreç aşamalı ÇKKV (Çok Kriterli Karar Verme) modeli önerilmiştir. Kriterlerin önem ağırlıklarını belirleyebilmek için Bulanık SWARA yöntemi, hataları sıralayabilmek için Bulanık COPRAS yöntemi kullanılmıştır. Bu yönteme göre, en önemli hataların; “HT-1: Talep rakamlarının eksik veya yanlış olması sonucu eksik üretimin S&OP (Satış ve Operasyon Planlama) toplantısında farkedilmesi” ve “HT5:Talep rakamları belirlenirken master datanın eksik tanımlanması sonucu eksik üretimin S&OP toplantısında fark edilmesi” olduğu tespit edilmiştir. İlerleyen çalışmalarda, risk analizlerinin etkinlikleri benzer yaklaşımlarla değerlendirilebileceği ve karar destek sistemlerine entegre edilerek mevcut veya gelecek senaryoların analizinde kullanılabileceği öngörülmektedir.

Keywords

Risk analizi, hata türü ve etkileri analizi, çok kriterli karar verme, bulanık SWARA, bulanık COPRAS

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