Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR

Safari, Hossein; Faraji, Zahra; Majidian, Setareh

doi:10.1007/s10845-014-0880-0

Cited by 158 publications

(89 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Using the calculated criterion weights, the VIKOR was adopted to obtain a ranking of the alternatives based on these criteria which are stochastic. Safari et al [33] proposed a methodology by combining failure mode and effect analysis (FMEA) and the fuzzy VIKOR for identifying and evaluating enterprise architecture risks. Instead of calculating the risk priority number (RPN) using the conventional FMEA, enterprise architecture risks were prioritized using the fuzzy VIKOR.…”

Section: Vikormentioning

confidence: 99%

A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection

2017

View full text Add to dashboard Cite

Due to decaying fossil resource and increasing environmental consciousness, the demand of renewable energy resources is escalating these days. Photovoltaic solar energy is one of the most popular renewable energy resources in places where sunlight is abundant. The selection of a desirable location for constructing a photovoltaic solar plant is the first and one of the most important stages in the plant construction to provide a long-term energy production. In this paper, a comprehensive multiple-criteria decision-making model, which incorporates the interpretive structural modeling (ISM), fuzzy analytic network process (FANP) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, meaning multi-criteria optimization and compromise solution), is proposed to select the most suitable photovoltaic solar plant location. The ISM is applied first to determine the interrelationships among the criteria and among the sub-criteria, and the results are used to construct a decision-making network. The FANP is applied next to solve the network and to calculate the importance weights of the sub-criteria. Finally, the VIKOR is adopted to determine the ranking of the photovoltaic solar plant locations. The proposed model is applied in a case study in evaluating photovoltaic solar plant locations in Taiwan. By applying the proposed model, decision makers can have a better thinking process and make more appropriate decisions justifiably.

show abstract

Section: Vikormentioning

confidence: 99%

A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection

2017

View full text Add to dashboard Cite

show abstract

“…VIKOR yönteminin bulanık versiyonu olan Bulanık VIKOR yöntemi, ÇKKV problemleri için bulanık uzlaşık çözüm belirlemek amacıyla geliştirilmiştir. Bulanık sayıları ve bulanık aritmetik işlemleri kullanan Bulanık VIKOR yöntemi aşağıdaki adımlardan oluşmaktadır [46,47]. Bu çalışmada üçgensel bulanık sayılar kullanılmıştır.…”

Section: şEkil 1 Kano Model [39] (Kano Model [39])unclassified

“…İndeks değeri en küçük olan en iyi alternatif olarak kabul edilir. Eşitlik (12)'de gösterilen durulaştırma formülü bu çalışmada kullanılmıştır [47]. = ( , , ) olmak üzere;…”

Section: Adımunclassified

Kano Model Ve Bulanik Vikor Yöntemi̇ İle Bulanik Çok Kri̇terli̇ Seçi̇m Yaklaşimi: Havayolu Fi̇rma Seçi̇mi̇ İçi̇n Bi̇r Uygulama

Delice

2016

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

View full text Add to dashboard Cite

ÖZETHavayolu taşımacılığı hizmet sektöründe büyük bir paya sahip olan rekabetçi bir pazardır. Bu pazarda yer alan havayolu firma seçim problemi, özellikle hem nicel hem de nitel faktörlerden etkilenmesi hem de insanların sübjektif algılamaları ve tecrübelerinden dolayı ortaya çıkan belirsizlikler nedeniyle, müşteriler için gittikçe kompleks bir hale gelmektedir. Bu makalede belirsiz bir ortamda, müşteri isteklerine bağlı olarak havayolu firma seçimi için Kano Model (KM), Bulanık VIKOR ve Bulanık TOPSIS yöntemleri ile yeni bir bulanık çok kriterli bir model geliştirilmiştir. Bu model ile Türkiye'de faaliyet gösteren ve önemli pazar paylarına sahip beş havayolu firması değerlendirilmiştir. Değerlendirme sürecinde, ilk olarak, on adet müşteri isteği yani hizmet kriteri belirlenmiş ve KM kullanılarak bu kriterler arasından en önemli kriterin "uçuş güvenliği" kriteri olduğu ortaya çıkarılmıştır. Daha sonra, Bulanık VIKOR ve Bulanık TOPSIS yöntemleri ile yapılan karşılaştırmalı analiz sonucunda hizmet kriterlerini karşılama açısından en iyi havayolu firma alternatiflerinin sırasıyla A 2 ve A 1 olduğu tespit edilmiştir. Çalışma kapsamında yapılan duyarlılık analizi ile önerilen modelin belirsiz bir ortamda seçim sürecini değerlendirmede etkili bir araç olduğu gösterilmiştir.Anahtar Kelimeler: Kano model, bulanık VIKOR, bulanık TOPSIS, hizmet sektörü, havayolu taşımacılığı A FUZZY MULTICRITERIA MODEL FOR AIRLINE COMPANIES SELECTION ABSTRACTAirline transportation is a competitive market which has a big share in the service sector. Airline company selection problem, which takes part in this market, is getting a more complex problem for customers, according to the facts that it is impressed by both tangible and intangible factors, and vagueness arising from the subjective perceptions and experience of individuals. In this study, a new fuzzy multicriteria model is developed by the employment of Kano Model (KM), Fuzzy VIKOR and Fuzzy TOPSIS methods, for airline company selection problem according to the customer needs under a vague environment. In the evaluation process, ten customer needs, namely service criteria, are determined at first, and "flight security" criterion is selected to be the most important one by the KM. After that, the best airline companies are selected as A 2 and A 1 firms in the point of meeting the service criteria according to the comparative analysis of Fuzzy VIKOR and Fuzzy TOPSIS methods. As a result of sensitivity analysis realized in the end of the study, it is presented that the proposed approach is an effective tool to evaluate a selection process in a fuzzy environment.

show abstract

“…It determines the risk priorities of failure modes in an organization through the risk priority number (RPN) value. RPN is calculating through multiplication of the occurrence (O), severity (S) and detection (D) of a potential failure [2].So, proposed model can have a high potential to identify more risks and improve the safety. The paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Proposing an Improved Risk Assessment Model: A Case Study in Saba Tower

2017

Oct. 5-6, 2017 Paris - France ICIET-17, CABHS-17, CAEME-17, LHFHM-17 &Amp; BLEDS-17

View full text Add to dashboard Cite

Abstract-Effectively managing risk is an essential element of successful project risk management. In this paper, we propose a novel risk assessment technique which uses failure mode and effects analysis (FMEA) method based on ELENA's risk management model. ELENA's project management model incorporates the knowledge of project management provided by the PMBOK and the PRINCE2 methodologies to propose a model that covers both the knowledge of project management and the guidelines about how to use such this knowledge. The process described for managing risk in ELENA is identical to that in AS/NZS ISO 31000:2009. Risk assessment in PMBOK is the result of combining risks probability and impact, whereas present study proposes a new risk assessment model build on FMEA. FMEA analyzes risks through risk priority number (RPN) which contains three parameters including Detection (D), Occurrence (O) and Severity (S). Then, we assigned a threshold value equal to 125 to classify failures or required corrective actions. The purpose of this paper is to improves the accuracy of the assessment and optimize the decision making process in organizations. Finally, a case study of the Saba tower is presented.Keywords-Failure mode and effect analysis (FMEA), Risk management, Risk assessment, Risk-Priority-Number (RPN).

show abstract

Identifying and evaluating enterprise architecture risks using FMEA and fuzzy VIKOR

Cited by 158 publications

References 46 publications

A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection

A Hybrid Multiple-Criteria Decision-Making Approach for Photovoltaic Solar Plant Location Selection

Kano Model Ve Bulanik Vikor Yöntemi̇ İle Bulanik Çok Kri̇terli̇ Seçi̇m Yaklaşimi: Havayolu Fi̇rma Seçi̇mi̇ İçi̇n Bi̇r Uygulama

Proposing an Improved Risk Assessment Model: A Case Study in Saba Tower

Contact Info

Product

Resources

About