Failure probability analysis by employing fuzzy fault tree analysis

2017 ◽  
Vol 8 (S2) ◽  
pp. 1177-1193 ◽  
Author(s):  
Mohammad Yazdi ◽  
Farzaneh Nikfar ◽  
Mahnaz Nasrabadi
Keyword(s):  
Failure Probability ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Probability Analysis ◽  
Tree Analysis ◽  
Fuzzy Fault Tree Analysis

Estimation of failure probability of milk manufacturing unit by fuzzy fault tree analysis

2014 ◽  
Vol 26 (2) ◽  
pp. 741-750 ◽  
Author(s):  
A. Mhalla ◽  
S. Collart Dutilleul ◽  
E. Craye ◽  
M. Benrejeb
Keyword(s):  
Failure Probability ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Fuzzy Fault Tree Analysis

A fuzzy fault tree analysis based risk assessment approach for enterprise resource planning projects

2018 ◽  
Vol 35 (5) ◽  
pp. 1115-1141 ◽  
Author(s):  
Mina Moeinedini ◽  
Sadigh Raissi ◽  
Kaveh Khalili-Damghani
Keyword(s):  
Risk Factors ◽  
Enterprise Resource Planning ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Resource Planning ◽  
Successful Implementation ◽  
Tree Analysis ◽  
Content Type ◽  
Cause And Effect ◽  
Fuzzy Fault Tree Analysis

Purpose Enterprise resource planning (ERP) is assumed as a commonly used solution in order to provide an integrated view of core business processes, including product planning, manufacturing cost, delivery, marketing, sales, inventory management, shipping and payment. Selection and implementation of a suitable ERP solution are not assumed a trivial project because of the challenging nature of it, high costs, long-duration of installation and customization, as well as lack of successful benchmarking experiences. During the ERP projects, several risk factors threat the successful implementation of the project. These risk factors usually refer to different phases of the ERP projects including purchasing, pilot implementation, teaching, install, synchronizing, and movement from old systems toward new ones, initiation and utilization. These risk factors have dominant effects on each other. The purpose of this paper is to explore the hybrid reliability-based method is proposed to assess the risk factors of ERP solutions. Design/methodology/approach In this regard, the most important risk factors of ERP solutions are first determined. Then, the interactive relations of these factors are recognized using a graph based method, called interpretive structural modeling. The resultant network of relations between these factors initiates a new viewpoint toward the cause and effect relations among risk factors. Afterwards, a fuzzy fault tree analysis is proposed to calculate Failure Fuzzy Possibility (FFP) for the basic events of the fault tree leading to a quantitative evaluation of risk factors. Findings The whole proposed method is applied in a well-known Iranian foodservice distributor as a case study. The most impressive risk factors are identified, classified and prioritized. Moreover, the cause and effect diagram between the risk factors are identified. So, the ERP leader can plan a low-risk project and increase the chance of success. Originality/value According to the authors’ best knowledge, such approach was not reported before in the literature of ERP risk assessments.

A novel ranking function-based triangular intuitionistic fuzzy fault tree analysis method

2020 ◽  
Vol 39 (3) ◽  
pp. 2753-2761
Author(s):  
Hui Zhou ◽  
Haiping Ren
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Ranking Function ◽  
Analysis Method ◽  
Tree Analysis ◽  
Factors Affecting ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Operational Laws ◽  
Fuzzy Fault Tree Analysis

In reliability field, the probabilities of basic events are often treated as exact values in conventional fault tree analysis. However, for many practical systems, because the concept of events may be ambiguous, the factors affecting the occurrence of events are complex and changeable, so it is difficult to obtain accurate values of the occurrence probability of events. Fuzzy sets can well deal with these situations. Thus this paper will develop a novel fault tree analysis method in the assumption of the values of probability of basic events expressed with triangular intuitionistic fuzzy numbers. First, a new ranking function of triangular intuitionistic numbers is established, which can reflect the behavior factors of the decision maker. Then a novel fault tree analysis method is put forward on the basis of operational laws and the proposed ranking function of triangular intuitionistic numbers. Finally, an example of weapon system “automatic gun” is employed to show that the proposed fault tree analysis method is feasible and effective.

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