Proactive cost-effective identification and mitigation of supply delay risks in a low volume high value supply chain using fault-tree analysis

2016 ◽  
Vol 175 ◽  
pp. 153-163 ◽  
Author(s):  
Michael D. Sherwin ◽  
Hugh Medal ◽  
Steven A. Lapp
Author(s):  
Nidhal Mahmud

The use of robotics systems is increasingly widespread and spans a variety of application areas. From healthcare, to manufacturing, to space missions, these systems are typically conceived to perform dangerous or critical tasks. The nature of such tasks (e.g., surgery operations or radioactive waste clean-up) places high demands on the dependability of robotics systems. Fault tree analysis is among the most often used dependability assessment techniques in various domains of robotics. However, fault tree analysis of cost-effective fault tolerant robotics systems requires compositional synthesis of fault trees extended with the expressive power to allow analyzing the sequential dependencies among the components. Thereafter, a relevant experience from the automotive domain is presented. This consists mainly of a suitable synthesis approach that computes expressions of global failure conditions from the dysfunctional behavior local to the components. The benefits of the approach to dependability analysis of robotics architectures are highlighted by using a fault-tolerant example system.


Author(s):  
Nidhal Mahmud

The use of robotics systems is increasingly widespread and spans a variety of application areas. From healthcare to manufacturing to space missions, these systems are typically conceived to perform dangerous or critical tasks. The nature of such tasks (e.g., surgery operations or radioactive waste clean-up) places high demands on the dependability of robotics systems. Fault tree analysis is among the most often used dependability assessment techniques in various domains of robotics. However, fault tree analysis of cost-effective fault tolerant robotics systems requires compositional synthesis of fault trees extended with the expressive power to allow analyzing the sequential dependencies among the components. Thereafter, a relevant experience from the automotive domain is presented. This consists mainly of a suitable synthesis approach that computes expressions of global failure conditions from the dysfunctional behavior local to the components. The benefits of the approach to dependability analysis of robotics architectures are highlighted by using a fault-tolerant example system.


Author(s):  
Amir Reza Abtahi ◽  
Reza Yousefi Zenouz ◽  
Mohammad Reza Ghaderian ◽  
Afsaneh Aghaie

Kerntechnik ◽  
2021 ◽  
Vol 86 (2) ◽  
pp. 164-172
Author(s):  
R. A. Fahmy ◽  
R. I. Gomaa

Abstract The safe and secure designs of any nuclear power plant together with its cost-effective operation without accidents are leading the future of nuclear energy. As a result, the Reliability, Availability, Maintainability, and Safety analysis of NPP systems is the main concern for the nuclear industry. But the ability to assure that the safety-related system, structure, and components could meet the safety functions in different events to prevent the reactor core damage requires new reliability analysis methods and techniques. The Fault Tree Analysis (FTA) is one of the most widely used logic and probabilistic techniques in system reliability assessment nowadays. The Dynamic fault tree technique extends the conventional static fault tree (SFT) by considering the time requirements to model and evaluate the nuclear power plant safety systems. Thus this paper focuses on developing a new Dynamic Fault Tree for the Auxiliary Feed-water System (AFWS) in a pressurized water reactor. The proposed dynamic model achieves a more realistic and accurate representation of the AFWS safety analysis by illustrating the complex failure mechanisms including interrelated dependencies and Common Cause Failure (CCF). A Simulation tool is used to simulate the proposed dynamic fault tree model of the AFWS for the quantitative analysis. The more realistic results are useful to establish reliability cantered maintenance program in which the maintenance requirements are determined based on the achievement of system reliability goals in the most cost-effective manner.


Author(s):  
Amir Reza Abtahi ◽  
Afsaneh Aghaie ◽  
Mohammad Reza Ghaderian ◽  
Reza Yousefi Zenouz

Author(s):  
Yao Li ◽  
Frank PA Coolen

Due to the high failure rates and the high cost of operation and maintenance of wind turbines, not only manufacturers but also service providers try many ways to improve the reliability of some critical components and subsystems. In reality, redundancy design is commonly used to improve the reliability of critical components and subsystems. The load dependencies and failure dependencies among redundancy components and subsystems are crucial to the reliability assessment of wind turbines. However, the redundancy components are treated as a parallel system, and the load correlations among them are ignored in much literature, which may lead to the wrong system’s reliability and much higher costs. For this reason, this article explores the influences of load-sharing on system reliability. The whole system’s reliability is quantitatively evaluated using fault tree analysis and the Markov-chain method. Following this, the optimisation of the redundancy allocation problem considering the load-sharing is conducted to maximise the system reliability and reduce the total cost of the system subjecting to the available system cost and space. The results produced by this methodology can show a realistic reliability assessment of the entire wind turbine from a quantitative point of view. The realistic reliability assessment can help to design a cost-effective and more reliable system and significantly reduce the cost of wind turbines.


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