Journal of Quality Engineering and Management

Allocating Reliability adopting Subsystem Resilience Approach taking up Foo Method

Document Type : Original Article

Authors

Elham Aghazadeh 1
mahdi karbasian 2
maryam bahrami 3
bahareh fatahi 4

1 a

2 Faculty of Industrial Engineering, Malik Ashtar University of Technology, Isfahan, Iran

3 b

4 k

https://doi.org/10.48313/jqem.2023.192565
Abstract
Allocation is one of the important activities in the reliability process, if it is not done correctly, it will not be possible to achieve the reliability goals for the whole system. To allocate the reliability, methods have been presented that are not free of defects. In this research, five factors of complexity, new technology, operation time, environment and resilience of subsystems are considered and the goal is to consider a new approach in allocating reliability to the goal feasibility method so that different parts and subsystems can be examined and measured based on the desired reliability and resilience. The obtained results are investigated and measured by Foo method with the mentioned five factors and finally validated.
The following items are suggested to researchers in the field of reliability and complex systems:
• Consider the development of each of the four factors in Fu's method in their research.
• Considering this research as a basis, the presented method should be developed in terms of management as well as providing other combined solutions.
• After the development of other factors of Foo's method, software can be developed to assign reliability.
• Designing a mathematical model for assigning reliability so that it includes more factors.
• Finding a quantitative relationship between the cost of a subsystem and its reliability so that the system cost is minimized under the reliability constraint or the system reliability is maximized under the cost constraint.

Keywords

Reliability Allocation
Resilience
Foo methodology

  • Zarei, M., Gholami, M., & Mohseni, N. (2014). Designing a reliability allocation model for subsystems. Journal of Industrial Engineering, 10(4), 27–38.

  • Karimi, N., & Nouri, B. (2012). Reliability analysis in the design of industrial systems. Engineering Research Quarterly, 6(2), 45–59.

  • Jahanshahi, S. (2016). Modern Approaches in Reliability Engineering. Tehran: University of Tehran Press.

  • Esmaeili, H., & Rajabi, M. (2017). Improving weapon barrel reliability using FMEA. Defense Science Journal, 11(2), 101–114.

  • Ahmadi, F., & Kohestani, R. (2018). Application of fuzzy analysis in defense system reliability. Journal of Defense and Security, 12(3), 88–102.

  • Fattahi, B., & Bahrami, M. (2020). Fuzzy AHP in reliability allocation. Industrial Engineering Research, 14(1), 55–68.

  • Abbasi, K., & Mazaheri, S. (2021). Reliability analysis of car braking systems using Monte Carlo simulation. Automotive and Engineering Journal, 5(2), 32–46.

  • Ataei, F., & Khani, M. (2022). Modeling reliability in space systems using genetic algorithms. Aerospace Engineering Journal, 18(3), 77–90.

  • Rezaei, S., & Saeedi, N. (2019). Optimal modeling of reliability allocation in complex networks. Quality Management Quarterly, 13(1), 23–36.

  • Kazemi, R., & Sharifi, P. (2015). Use of AGREE method in military system design. Engineering Management Journal, 7(4), 41–56.

  • Moradi, M., & Ghasemi, Y. (2021). Reliability review in electronic systems with cost-reduction goals. Journal of Engineering Systems, 6(2), 61–74.

  • Karami, B., & Abdi, R. (2017). Analysis of influencing factors in space system reliability allocation. Systems Analysis Journal, 9(2), 49–60.

  • Heydari, N., & Taheri, A. (2022). Performance and reliability indicator relationships in airborne system design. Aerospace Engineering Journal, 19(1), 21–34.

  • Babaei, M., & Sohrabi, M. (2021). Optimizing reliability allocation in air network systems using heuristic algorithms. Defense Industries Research Journal, 8(3), 97–109.

  • Soleimani, S., & Hosseini, K. (2020). Monte Carlo-based reliability estimation in military networks. Quality Analysis Journal, 10(4), 59–72.

  • Tavakkoli, J., & Sajjadi, L. (2019). Modeling mechanical system reliability considering crisis factors. Technology and Engineering Journal, 7(1), 18–31.

  • Salehi, M., & Bayat, Y. (2022). Combined AHP-Entropy approach for reliability indicator weighting. Industrial Decision-Making Quarterly, 15(3), 77–88.

  • Akbari, S., & Rahmani, H. (2023). Designing a reliability allocation software using AHP. Smart Systems Journal, 5(1), 40–52.

  • Mousavi, H., & Kiani, B. (2022). Influencing factors in reliability allocation among aerospace suppliers. Quality in Engineering Quarterly, 11(2), 30–44.

  • Eslami, R., & Pourreza, N. (2018). Modeling supply chain reliability allocation using OWA-ME. Qualitative Engineering Research Journal, 4(2), 65–78.

Journal of Quality Engineering and Management
Volume 13, Issue 2
Summer 2023
Pages 147-164

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