scholarly journals Optimal Analysis of Performance Improvement Strategy for Mechanical System Assembly Process Based on Fault Tree Model

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 76438-76447
Author(s):  
Jian Li ◽  
Hongwei Wang ◽  
Yan Ran ◽  
Genbao Zhang
Keyword(s):  
Mechanical System ◽  
Performance Improvement ◽  
Fault Tree ◽  
Assembly Process ◽  
Improvement Strategy ◽  
Tree Model ◽  
Optimal Analysis ◽  
Analysis Of Performance

Assessing the Risk of Noncompliance in Wastewater Treatment

1992 ◽  
Vol 26 (5-6) ◽  
pp. 1411-1420 ◽  
Author(s):  
S. H. Choudhury ◽  
S. L. Yu ◽  
Y. Y. Haimes
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Fault Tree ◽  
Treatment Plant ◽  
Risk Identification ◽  
System Component ◽  
System Failure ◽  
Tree Model ◽  
Risk Quantification ◽  
Failure Probabilities

This paper presents an integrated methodology that allows determining the probability of noncompliance for a given wastewater treatment plant. The methodology applies fault-tree analysis, which uses failure probabilities of individual components, to predict the overall system failure probability. The methodology can be divided into two parts : risk identification and risk quantification. In risk identification, the key components in the system are determined by analyzing the contribution of individual component failures toward system failure (i.e., noncompliance). In risk quantification, a fault-tree model is constructed for the particular system, component failure probabilities are estimated, and the fault-tree model is evaluated to determine the probability of occurrence of the top event (i.e., noncompliance). A list can be developed that ranks critical events on the basis of their contributions to the probability of noncompliance. Such a ranking should assist managers to determine which components require most attention for a better performance of the entire system. A wastewater treatment plant for treating metal-bearing rinse water from an electroplating industry is used as an example to demonstrate the application of this methodology.

Fault-Tree Model for Risk Assessment of Bridge Failure: Case Study for Segmental Box Girder Bridges

2013 ◽  
Vol 19 (3) ◽  
pp. 326-334 ◽  
Author(s):  
Caitlyn Davis-McDaniel ◽  
Mashrur Chowdhury ◽  
Weichiang Pang ◽  
Kakan Dey
Keyword(s):  
Risk Assessment ◽  
Fault Tree ◽  
Tree Model ◽  
Box Girder Bridges ◽  
Box Girder ◽  
Girder Bridges ◽  
Bridge Failure

Bayesian updating in a fault tree model for shipwreck risk assessment

2017 ◽  
Vol 590-591 ◽  
pp. 80-91 ◽  
Author(s):  
H. Landquist ◽  
L. Rosén ◽  
A. Lindhe ◽  
T. Norberg ◽  
I.-M. Hassellöv
Keyword(s):  
Risk Assessment ◽  
Fault Tree ◽  
Bayesian Updating ◽  
Tree Model

Modeling bid/no bid decisions using fuzzy fault tree

2018 ◽  
Vol 18 (1) ◽  
pp. 90-108 ◽  
Author(s):  
Mohamed Marzouk ◽  
Emad Mohamed
Keyword(s):  
Fault Tree ◽  
The Body ◽  
Final Decision ◽  
Extensive Literature ◽  
Willingness To Participate ◽  
Tree Model ◽  
Content Type ◽  
Proposed Model ◽  
Multiple Experts ◽  
Two Stages

Purpose Decisions by construction contractors to bid (or not to bid) require the thorough assessment and evaluation of factors relevant to the decision, as well as the quantification of their combined impact, to produce successful bid/no-bid decisions. The purpose of this study is to present a fuzzy fault tree model to assist construction contractors to more efficiently bid for future projects. Design/methodology/Approach The proposed model consist of two stages: first, identification of the factors that affect bidding decision using a questionnaire survey after an extensive literature review, and second, usage of the identified factors to build a fuzzy fault tree model to simulate the bidding decision. Findings A list of 15 factors that affect bid/no-bid decisions was identified. Analysis of factors revealed that the highest-ranking factors were related to financial aspects of the project. A case study is presented to demonstrate the capabilities of the model, and a fuzzy important analysis is performed on the basic events to demonstrate the differences between three contractors’ bid/no-bid decisions. The results reveal that there is variation between the decisions of each contractor based on their willingness to participate. Besides, the influence of evaluation factors on the final decision for each contractor is different. Originality/value The study contributes to the body of knowledge on tendering and bidding practices. The proposed model incorporated the fuzzy set theory, which suits human subjectivity. The proposed methodology overcomes the limitations of previous models as it can, using the linear pool opinion principle, combine and weigh the evaluations of multiple experts. In addition, the model is convenient for situations where historical data are not available.

scholarly journals Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters

2019 ◽  
Vol 111 ◽  
pp. 128-143 ◽  
Author(s):  
Mingyang Zhang ◽  
Di Zhang ◽  
Floris Goerlandt ◽  
Xinping Yan ◽  
Pentti Kujala
Keyword(s):  
Risk Factors ◽  
Fault Tree ◽  
Collision Risk ◽  
Tree Model ◽  
Factors Analysis

Benchmarking the failure assessment of perishable product supply chain using fault tree approach: insights from apple case study of India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manisha Bhardwaj ◽  
Rajat Agrawal
Keyword(s):  
Supply Chain ◽  
Fault Tree ◽  
Annual Reports ◽  
Importance Measure ◽  
Structured Interviews ◽  
Tree Model ◽  
Content Type ◽  
Perishable Product ◽  
Importance Factor ◽  
Tree Approach

PurposeThe purpose of this paper is to facilitate perishable product supply chain (PPSC) managers and practitioners to assess PPSC failure events. The paper proposed fault tree methodology for assessing failures associated with PPSC for evaluating the performance in terms of effective PPSC management adoption.Design/methodology/approachInitially, different failure events were identified from literature and semi-structured interviews from experts. Fault tree model was developed from the identified failure events. Probability of failure events was calculated using Poisson distribution based on the annual reports and interviews conducted from experts. Further, qualitative analysis – minimum cut sets (MCSs), structural importance coefficient (SIC) – and quantitative analysis – Birnbaum importance measure (BIM), criticality importance factor (CIF) and diagnosis importance factor (DIF) – were performed for ranking of failure events. In this study, fault tree development and analysis were conducted on apple supply chain to present the authenticity of this method for failure analysis.FindingsThe findings indicate that the failure events, given as failure at production and procurement (A2), that is, involvement of middleman (BE3), handling and packaging failure (BE4) and transportation failure (A3), hold the highest-ranking scores in analysis of PPSC using fault tree approach.Originality/valueThis research uses the modularization approach for evaluation of failure events of PPSC. This paper explores failures related to PPSC for efficient management initiatives in apple supply chain context. The paper also provides suggestion from managerial perspective with respect to each failure event.

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