설계, 개발 및 양산 정보를 활용한 신뢰성 지수 개발
Development of a Reliability Index using Design, Development and Production Information
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Purpose: In this paper, we developed a reliability index (RI) to efficiently compare reliability of products based on the design, development and production information such as reliability tests, quality, product life-cycle management. RI also can be applied to reliability prediction of a novel product as well as comparison evaluation among existing products. Methods: For evaluating RI, we proposed evaluation process which is composed of five steps. Target modules are selected based on warranty data and correlation analysis. Scores of selected target modules are calculated by scoring function. Finally, weights of RI model are determined by optimization method. Results: This paper presented an empirical analysis based on failure data of mobile devices. In this case study, we demonstrated that there is a direct correlation between evaluated RI and field failure probability of each product. Conclusion: We proposed the index for comprehensive and effective assessment of product reliability level. From the procedure of this study, we expected to be applied for reliability estimation of novel products and deduction of field failure-related factors.
Abstract
Purpose: In this paper, we developed a reliability index (RI) to efficiently compare reliability of products based on the design, development and production information such as reliability tests, quality, product life-cycle management. RI also can be applied to reliability prediction of a novel product as well as comparison evaluation among existing products. Methods: For evaluating RI, we proposed evaluation process which is composed of five steps. Target modules are selected based on warranty data and correlation analysis. Scores of selected target modules are calculated by scoring function. Finally, weights of RI model are determined by optimization method. Results: This paper presented an empirical analysis based on failure data of mobile devices. In this case study, we demonstrated that there is a direct correlation between evaluated RI and field failure probability of each product. Conclusion: We proposed the index for comprehensive and effective assessment of product reliability level. From the procedure of this study, we expected to be applied for reliability estimation of novel products and deduction of field failure-related factors.
참고문헌 (7)
- Arya, L. D., "Evaluation of reliability indices accounting omission of random repair time for distribution systems using Monte Carlo simulation", Electrical Power & Energy Systems, 42(1), pp.533~541 (2012)
- 임성욱, "Kano 모델을 기반으로 한 잠재적 고객만족 개선지수", 품질경영학회지, 38(2), pp.248~260 (2010), 한국품질경영학회
- Melo, A. C. G., "Sensitivities of multi-area reliability indices with respect to variations of equipment failure and repair rates—An analytical approach", Electrical Power & Energy Systems, 20(2), pp.153~159 (1998)
- Perera, U. D., "Reliability index – a method to predict failure rate and monitor maturity of mobile phones", Reliability and Maintainability Symposium (2006), RAMS '06. Annual : 234-38
- Qin, Q., "Calibration of reliability index of RC beams for serviceability limit state of maximum crack width", Reliability Engineering & System Safety, 75(3), pp.359~366 (2002)
- 서순근, "2단계 신뢰성 실증시험의 통계적 설계", 품질경영학회지, 39(2), pp.313~319 (2011), 한국품질경영학회
- 유춘번, "KS제품 품질우수성지수(KS-QEI)에 관한 연구", 품질경영학회지, 34(4), pp.1~12 (2006), 한국품질경영학회
