Guidelines for reliability allocation methods

  • Luca Silvestri 
  • b Domenico Falcone ,
  • c Giuseppina Belfiore 
  • a Niccolò Cusano University, 00166 Roma (RM) – Italy
  • b,c Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio - Italy
Cite as
Silvestri L., Falcone D., Belfiore G. (2018). Guidelines for reliability allocation methods. Proceedings of the 17th International Conference on Modeling & Applied Simulation (MAS 2018), pp. 191-198. DOI: https://doi.org/10.46354/i3m.2018.mas.029

Abstract

The purpose of this paper is to review the literature on reliability allocation and to propose a guideline to choice the most suitable allocation method, in respect to desired goals and available resources. The proposed review systematically analyzes allocation methods in literature, determining main features and the area of application. The choice of a reliability allocation method depends on several factors and, moreover, the considered design stage. However, in literature there is a lack of a comprehensive methods’ summarization, making it difficult to choose the most suitable strategy. New criteria for the classification are also highlighted. Furthermore, reliability allocation methods become ever more complex and accurate, in particular trough the employment of advanced mathematical tools. The paper contains a comprehensive analysis of frequently-used allocation methods and a proper summarization through various criteria. Additionally, it points out opportunities for future research.

References

  1. Advisory Group of Reliability of Electronic Equipment (AGREE), 1957. Reliability of military electronic equipment. Office of the Assistant Secretary of Defense Research and Engineering, Washington, DC.
  2. Aggarwal K.K., 1993. Reliability engineering. Dordrecht, Netherlands: Kluwer Academic
    Publishers.
  3. Ali J., 2009. Calculation of reliability allocation factor using sensitivity evaluation method, Proceedings of 8th International Conference on Reliability, Maintainability and Safety, pp. 83-86.
  4. Alven W.H., 1964. Reliability engineering: Prepared by ARINC research corporation. Englewood Cliff, NJ: Prentice Hall, Inc.
  5. Anderson R.T., 1976. Reliability design handbook. Chicago: ITT Research Institute.
  6. Andriulo S., Arleo M.A., De Carlo F., Gnoni M.G., Tucci M., 2015. Effectiveness of maintenance approaches for high reliability organizations, IFAC PapersOnLine, 28(3), 466-471.
  7. Bowles J.B., 2003. An assessment of RPN prioritization in a failure modes effects and criticality analysis. In Processing annual reliability and maintainability symposium, pp. 380–386.
  8. Bracha V.J., 1964. The methods of reliability engineering. Machine Design, 70–76.
  9. Cheng C.H., Chang, J.R., 2006. MCDM aggregation model using situational ME-OWA and ME-OWGA operators. Fuzziness and Knowledge Based Systems, 14(4), 421–443.
  10. Chang K.H., Cheng C.H., Chang Y.C., 2008. Reliability assessment of an aircraft propulsion system using IFS and OWA tree. Engineering Optimization, 40(10), 907–921.
  11. Chang Y.C., Chang K. H., Liaw C.S., 2009. Innovative reliability allocation using the maximal entropy ordered weighted averaging method. Computers & Industrial Engineering, 57, 1274-1281.
  12. Dai S.H., Wang M.O., 1992. Reliability analysis in engineering applications. New York: Van Nostrand Reinhold.
  13. Department of Defense of USA, 1988. MIL-HDBK-338B, Electronic design reliability handbook
  14. Department of the Army. TM 5-689-4., 2006. Failure modes, effects and criticality analysis (FMECA) for command, control, communications, computer, intelligence, surveillance, and reconnaissance (C4ISR) facilities.
  15. De Felice F., Petrillo A., 2014. Proposal of a structured methodology for the measure of intangible criteria and for decision making. International Journal of Simulation and Process Modelling, 9(3), 157-166.
  16. De Felice F., 2012. Editorial Research and applications of AHP/ANP and MCDA for decision making in manufacturing. International Journal of Production Research, 50(17), 4735–4737.
  17. Di Bona D., Duraccio V., Silvestri A., Forcina A., Falcone D., De Felice F., 2014. Validation and application of a reliability allocation technique (advanced integrated factors method) to an industrial system. Proceedings of the IASTED International Conference on Modelling, Identification, and Control, pp.75-79. Innsbruck; Austria.
  18. Di Bona G., Forcina A., Petrillo A., De Felice F., Silvestri A., 2016. A-IFM reliability allocation model based on multicriteria approach. International Journal of Quality & Reliability Management, 33(5), 676–698.
  19. Di Bona G., Silvestri A., Forcina A., Falcone D., 2017. AHP-IFM Target: An innovative method to define reliability target in an aerospace prototype based on analytic hierarchy process. Quality and Reliability Engineering International, 33(8), 1731-1751.
  20. Di Bona,G., Falcone D., Silvestri A., Forcina A., 2017. IFM target 2.0: an innovative method to define reliability target for prototype systems. International Journal of Advanced Manufacturing Technology, 95(9-12), 3349-3367.
  21. Di Bona G., Forcina A., Silvestri A., 2015. Critical Flow Method: A New Reliability Allocation Approach for a Thermonuclear System. Quality and Reliability Engineering International, 32(5), 1677–1691.
  22. Di Bona G., Forcina A., 2017. Analytic Critical Flow Method (ACFM): A Reliability Allocation Method Based on Analytic Hierarchy Process. Journal of Failure Analysis and Prevention, 17(6), pp. 1149-1163.
  23. Di Pasquale V., Miranda S., Iannone R., Riemma S., 2015. A Simulator for Human Error Probability Analysis (SHERPA), Reliability Engineering and System Safety, 139, 17-32.
  24. Duraccio V., Compagno L., Trapani N., Forcina A., 2016. Failure Prevention Through Performance Evaluation of Reliability Components in Working Condition. Journal of Failure Analysis and Prevention, 16(6), 1092-1100.
  25. Falcone D., Di Bona G., Duraccio V., Silvestri A., 2007. Integrated hazards method (IHM): A new safety allocation technique. Proceedings of the IASTED International Conference on Modelling and Simulation, pp. 338-343
  26. Fuller R., Majlender P., 2001. An analytic approach for obtaining maximal entropy OWA operator weights. Fuzzy Sets and Systems, 124(1), 53–57.
  27. GU Y.K., Huang K.Q., 2009. Fuzzy Reliability Allocation Method for Engine based on the Experts Knowledge. Journal of Aerospace Power, 24, 1143-1149.
  28. Guangyan Z., Tong Q., Yufeng S., Weiwei H., 2011. The Method of Mission Reliability Allocation for Complex System Based on Simulation. School of Reliability and System Engineering, Beihang University, Beijing, China
  29. Guo Z.W., Bai G.B., 2009. Reliability Allocation Using Analytical Target Cascading Method. Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management, pp. 1195-1199.
  30. Itabashi-Campbell R.R., Yadav O.P., 2009. System reliability allocation based on FMEA criticality. Proceedings of SAE World Congress & Exhibition. Detroit, (Michigan USA).
  31. Karmiol E.D. 1965. Reliability apportionment. Preliminary Report EIAM-5, Task II, General Electric, Schenectady, NY pp. 10–22.
  32. Kim O., Yang Y., Zuo M.J., 2007. A new reliability allocation weight for reducing the occurrence of severe failure effects. Reliability Engineering and System Safety, 117, 81-88.
  33. Kuo H.E., 1999. Reliability assurance: Application for engineering and management (2nd ed.). Chinese Society for Quality
  34. Lee G.L., Lin H.J., Yu T.W., Ma, C.C., 2008. Optimal Allocation for Improving System Reliability Using AHP. IEEE International Conference on Sustainable Energy Technologies, pp. 159-163.
  35. Liaw C. S., Chang Y.C., Chang K.H., Chang T.Y.. 2011. ME-OWA based DEMATEL reliability apportionment method. Expert Systems with Applications, 38, 9713–23.
  36. NASA Report, 2007. Designing for Dormant Reliability, Johnson Space Center (JSC) Guideline No. GDED-2207.
  37. O’Hagan M., 1988. Aggregating template or rule antecedents in real-time expert systems with fuzzy set logic. Proceedings of 22nd annual IEEE Asilomar conference on signals, systems, computers, pp. 681–68. Pacific Grove, CA, Piscataway. NJ.
  38. Saaty T.L., 1980. The Analytic Hierarchy Process. Third ed. McGraw-Hill, New York.
  39. Saaty T.L., 1990. How to make a decision: The Analytic Hierarchy Process. European Journal of Operations Research, 48, 9–26.
  40. Saaty T.L., 1990. How to make a decision: The Analytic Hierarchy Process. European Journal of Operations Research, 48, 9–26.
  41. Tucci M., De Carlo F., Borgia O., Fanciullacci, N., 2014. Accelerated life tests as an integrated methodology for product design, qualification and production control: a case study in household appliances. Production & Manufacturing Research, 2(1), 112-127.
  42. Yadav O.P., Singh N., Goe P.S., 2006. Reliability demonstration test planning: a three dimensional consideration. Reliability Engineering and System Safety, 91:882–93.
  43. Yadav O.P., 2007. System reliability allocation methodology based on three-dimensional analyses. International Journal of Reliability and Safety, 1, 360–75.
  44. Yadav O.P., Zhuang X., 2014. A pratical reliability allocation method considering modified critically factors. Reliability Engineering and System safety, 129, 57-65.
  45. Yager R.R. 1988. On ordered weighted averaging aggregation operators in multicriteria decision making. Systems, Man and Cybernetics, 18(1), 183-190.
  46. Zhang H.B., Jia Z.X., 2009. Complex System Reliability Allocation based on Fuzzy Decision Method, International Workshop on Intelligent Systems and Applications.