Abstract
An electronic product usually contains numerous electronic components. To improve market competitiveness and operational flexibility, the electronics industry has begun to outsource electronic components. To help firms ensure that the lifetimes of procured electronic components meet market needs, this study proposes a fuzzy supplier selection model based on the confidence interval of the lifetime performance index proposed by (Chen and Yu, Annals of Operations Research 311:51–64, 2022). Under the assumption that the lifetime of an electronic component follows an exponential distribution, we derive the confidence intervals of the lifetime performance index for each supplier and use the confidence intervals of various suppliers to construct a fuzzy membership function. We propose a model based on this function to identify the optimal supplier. The fuzzy test incorporates historical data and expert experience to maintain evaluation accuracy in cases of small sample sizes. A numerical example is provided to demonstrate the efficacy of this method.
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Abbreviations
- \(T_{h}\) :
-
Lifetime
- h :
-
Supplier
- \(\lambda_{h}\) :
-
The mean time between failures (MTBF)
- \(\theta_{Lh}\) :
-
Lifetime performance index
- L :
-
Warranty period
- \(X_{h}\) :
-
Relative lifetime
- \(f_{{X_{h} }} (x)\) :
-
Probability density function
- \(r_{{X_{h} }} (x)\) :
-
Failure rate
- \(p_{rh}\) :
-
Product reliability
- \(R_{{X_{h} }} (x)\) :
-
Reliability function of relative lifetime \(X_{h}\)
- \(\theta_{Lh}^{*}\) :
-
Unbiased estimator of index \(\theta_{Lh}\)
- \(M_{{X_{h} }} (\tau )\) :
-
Moment-generating function of \(X_{h,j}\)
- \(M_{{\sum\nolimits_{j = 1}^{n} {X_{h,j} } }} (\tau )\) :
-
Moment-generating function of \(\sum\nolimits_{j = 1}^{n} {X_{h,j} }\)
- \(W_{h}\) :
-
\(n\theta_{Lh}^{*} /\theta_{Lh}\)
- \(f_{{W_{h} }} (w)\) :
-
Probability density function of \(W_{h}\)
- \(GAMINV\left( {\alpha^{\prime},n,1} \right)\) :
-
The lower \(\alpha^{\prime}\) quantile of \(G(n,1)\), where \(\alpha^{\prime} = \alpha /2\) or \(\alpha^{\prime} = 1 - \alpha /2\)
- \(1 - \alpha\) :
-
Confidence level
- \(L\theta_{Lh}\) :
-
Lower confidence interval limit
- \(U\theta_{Lh}\) :
-
Upper confidence interval limit
- n:
-
Sample size
- \(\theta_{Lh0}^{ * }\) :
-
Observed value of \(\theta_{Lh}^{ * }\)
- \(\sum\nolimits_{j = 1}^{n} {x_{h,j} }\) :
-
Observed values of \(\sum\nolimits_{j = 1}^{n} {X_{h,j} }\)
- \(L\theta_{Lh0}\) :
-
Observed values of \(L\theta_{Lh}\)
- \(U\theta_{Lh0}\) :
-
Observed values of \(U\theta_{Lh}\)
- \(l\theta_{Lh0}\) :
-
The length of \(1 - \alpha\) confidence level \(\left[ {L\theta_{Lh0} \left( n \right),U\theta_{Lh0} \left( n \right)} \right]\)
- \(\left[ {L\theta_{Li0} \left( n \right),U\theta_{Li0} \left( n \right)} \right]\) :
-
The confidence interval for the lifetime performance index of supplier i
- \(\left[ {L\theta_{Lj0} \left( n \right),U\theta_{Lj0} \left( n \right)} \right]\) :
-
The confidence interval for the lifetime performance index of supplier j
- \(\tilde{\theta }_{Lh0}^{*} \left[ \alpha \right]\) :
-
The \(\alpha {\text{ - cuts}}\) of triangular fuzzy number \(\tilde{\theta }_{Lh0}^{*}\) with \(\left[ {L\theta_{Lh0} ,U\theta_{Lh0} } \right]\)
- \(\tilde{\theta }_{Lh0}^{*}\) :
-
The triangular fuzzy number of \(\theta_{Lh0}^{*}\)
- \(\eta_{h} (x)\) :
-
The membership function of \(\tilde{\theta }_{Lh0}^{*}\)
- \(PROBGAM\left( { \cdot ,n,1} \right)\) :
-
The cumulative function of gamma distribution
- \(A_{Tj}\) :
-
The area between membership function \(\eta_{j} (x)\) and the x axis
- \(A_{ij}\) :
-
The area under the graph of \(\eta_{j} (x)\) to the left of the vertical line \(x = c_{ij}\)
References
Ahmadi, M., Doostparast, V., & Ahmadi, M. J. (2013). Estimating the lifetime performance index with Weibull distribution based on progressive first-failure censoring scheme. Journal Computation Applied Mathematics., 239, 93–102.
Amindoust, A., Ahmed, S., Saghafinia, A., & Bahreininejad, A. (2012). Sustainable supplier selection: a ranking model based on fuzzy inference system. Applied Soft Computing Journal, 12(6), 1668–1677.
Anderson, D. R., Sweeney, D. J., & Williams, T. A. (1990). Statistics for Business and Economics. West Publishing Company.
Awasthi, A. (2015). Supplier quality evaluation using a fuzzy multi criteria decision making approach. Studies in Fuzziness and Soft Computing, 319, 195–219.
Buckley, J. J. (2005). Fuzzy statistics: hypothesis testing. Soft Computing, 9(7), 512–518.
Chang, T. C., & Chen, K. S. (2022). Statistical test of two taguchi six-sigma quality indices to select the supplier with optimal processing quality. Journal of Testing and Evaluation, 50(1), 674–688.
Chang, T. C., Chen, K. S., & Yu, C. M. (2016). Process quality assessment model of hand tools: A case study on the handle of ratchet torque wrench. International Journal of Reliability, Quality and Safety Engineering, 23(5), 1650017.
Chen, K. S. (2022). Fuzzy testing of operating performance index based on confidence intervals. Annals of Operations Research, 311(1), 19–33.
Chen, K. S., Chiou, K. C., & Yu, C. M. (2020). Lifetime performance index of electronic products. Microelectronics Reliability, 113, 113941.
Chen, K. S., Chung, L., & Chang, T. C. (2021). Developing a quality-based supplier selection model from the buying company perspective. Quality Technology & Quantitative Management, 18(3), 267–284.
Chen, K. S., Huang, M. L., & Li, R. K. (2001). Process capability analysis for an entire product. International Journal of Production Research, 39(17), 4077–4087.
Chen, K. S., Wang, C. H., & Tan, K. H. (2019a). Developing a fuzzy green supplier selection model using six sigma quality indices. International Journal of Production Economics, 212, 1–7.
Chen, K. S., Wang, C. H., Tan, K. H., & Chiu, S. F. (2019b). Developing one-sided specification Six-Sigma fuzzy quality index and testing model to measure the process performance of fuzzy information. International Journal of Production Economics, 208, 560–565.
Chen, K. S., & Yu, C. M. (2020). Fuzzy test model for performance evaluation matrix of service operating systems. Computers & Industrial Engineering, 140, 106240.
Chen, K. S., & Yu, C. M. (2021). Dual dimensional fuzzy testing based on the upper confidence limits for supplier selection. Journal of Intelligent & Fuzzy Systems, 40(6), 11145–11158.
Chen, K. S., & Yu, C. M. (2022). Lifetime performance evaluation and analysis model of passive component capacitor products. Annals of Operations Research, 311(1), 51–64.
Chen, K. S., Yu, C. M., & Huang, M. L. (2022). Fuzzy selection model for quality-based IC packaging process outsourcers. IEEE Transactions on Semiconductor Manufacturing, 35(1), 102–109.
Chiou, K. C., & Chen, K. S. (2022). Lifetime performance evaluation model based on quick response thinking. Eksploatacja i Niezawodnosc–maintenance and Reliability, 24(1), 1–6.
Elsayed, E. A. (2012). Overview of reliability testing. IEEE Transactions on Reliability, 61(2), 282–291.
Hsu, B. M., Shu, M. H., & Chen, B. S. (2011). Evaluating lifetime performance for the pareto model with censored and imprecise information. Journal of Statistical Computation and Simulation, 81(12), 1817–1833.
Huang, C. C., Chang, T. C., & Chen, B. L. (2021). Fuzzy assessment model to judge quality level of machining processes involving bilateral tolerance using crisp data. Journal of the Chinese Institute of Engineers, 44(1), 1–10.
Keller, G., Warrack, B., & Bartel, H. (1994). Statistics for Management and Economics. Duxbury Press.
Lee, H. M., Wu, J. W., & Lei, C. L. (2013). Assessing the lifetime performance index of exponential products with step-stress accelerated life-testing data. IEEE Transactions on Reliability, 62(1), 296–304.
Liao, M. Y. (2015). Assessing process incapability when collecting data from multiple batches. International Journal of Production Research, 53(7), 2041–2054.
Lin, K. P., Yu, C. M., & Chen, K. S. (2019). Production data analysis system using novel process capability indices-based circular economy. Industrial Management & Data Systems, 119(8), 1655–1668.
Lo, W., Yang, C. M., Lai, K. K., Li, S. Y., & Chen, C. H. (2021). Developing a novel fuzzy evaluation model by one-sided specification capability indices. Mathematics, 9(10), 1076.
Nguyen, T. T., Duong, Q. D., & Mia, M. (2021). Multi-response optimization of the actively driven rotary turning for energy efficiency, carbon emissions, and machining quality. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 235(13), 2155–2173.
Pearn, W. L., & Cheng, Y. C. (2010). Measuring production yield for processes with multiple characteristics. International Journal of Production Research, 48(15), 4519–4536.
Roul, J. N., Maity, K., Kar, S., & Maiti, M. (2015). Multi-item reliability dependent imperfect production inventory optimal control models with dynamic demand under uncertain resource constraint. International Journal of Production Research, 53(16), 4993–5016.
Tong, L. I., Chen, K. S., & Chen, H. T. (2002). Statistical testing for assessing the performance of lifetime index of electronic components with exponential distribution. International Journal of Quality & Reliability Management, 19(7), 812–824.
Tsai, C. K., & Phumchusri, N. (2021). Fuzzy analytical hierarchy process for supplier selection: a case study in an electronic component manufacturer. Engineering Journal, 25(8), 73–86.
Wang, C. T., & Chiu, C. S. (2014). Competitive strategies for Taiwan’s semiconductor industry in a new world economy. Technology in Society, 36(1), 60–73.
Wang, T. C., Wu, C. W., Hsu, B. M., & Shu, M. H. (2022b). An integrated failure-censored sampling scheme for lifetime-performance verification and validation under a weibull distribution. Quality Engineering, 34(1), 82–95.
Wang, T. C., Wu, C. W., & Shu, M. H. (2022a). A variables-type multiple-dependent-state sampling plan based on the lifetime performance index under a weibull distribution. Annals of Operations Research, 311(1), 381–399.
Wu, C. H., Hsu, Y. C., & Pearn, W. L. (2021). An improved measure of quality loss for notching processes. Quality and Reliability Engineering International, 37(1), 108–122.
Wu, J. W., Lee, W. C., Hong, C. W., & Yeh, S. Y. (2014). Implementing lifetime performance index of burr XII products with progressively type ii right censored sample. International Journal of Innovative Computing Information and Control, 10, 671–693.
Wu, M. F., Chen, H. Y., Chang, T. C., & Wu, C. F. (2019). Quality evaluation of internal cylindrical grinding process with multiple quality characteristics for gear products. International Journal of Production Research, 57(21), 6687–6701.
Yang, C. M., & Chen, K. S. (2021). An integrated contract manufacturer selection and product quality optimization methodology for the mechanical manufacturing industry. Expert Systems with Applications, 183, 115336.
Yu, C. M., Lai, K. K., Chen, K. S., & Chang, T. C. (2020). Process-quality evaluation for wire bonding with multiple gold wires. IEEE Access, 8(1), 106075–106082.
Yu, K. T., & Chen, K. S. (2016). Testing and analysing capability performance for products with multiple characteristics. International Journal of Production Research, 54(21), 6633–6643.
Acknowledgements
The earlier version of this paper was presented at the 27th ISSAT International Conference on Reliability and Quality in Design (RQD), August 4-6, 2022, held in Virtual Conference. The author would like to thank the Editor, Hoang Pham, and anonymous referees for their helpful comments and careful reading, which significantly improved this paper. This work was supported by the National Science and Technology Council, Taiwan, Republic of China, Under Grant No. MOST 110-2622-E-167-011 and MOST 110-2222-E-167-005.
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Chen, KS., Yu, CM. Confidence-interval-based fuzzy supplier selection model with lifetime performance index. Ann Oper Res (2023). https://doi.org/10.1007/s10479-023-05566-1
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DOI: https://doi.org/10.1007/s10479-023-05566-1