Abstract
Using the previous data and experience of the service time provided by bank tellers to customers, this paper constructs a bank service time sampling inspection program based on Bayes method, and re-formulate the sampling plan \( \left( {{\text{n}},\uplambda} \right) \) for the mean value. In this paper, we use nonlinear programming theory to determine (n, λ) in the “λ”-type sampling plan. Then, compared with the conventional sampling inspection program, it is found that the sampling inspection plan for banking service time based on Bayes method requires fewer samples, which is valuable for reducing the sampling cost and strength.
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Acknowledgement
This research was supported by National Key Technology R&D Program (2017YFF0206503, 2017YFF0209004, 2016YFF0204205) and China National Institute of Standardization through the “special funds for the basic R&D undertakings by welfare research institutions” (522018Y-5941, 522018Y-5948).
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Wang, J., Wang, H., Zhang, F., Zhao, C., Wu, G., Zhao, J. (2020). Research on Sampling Inspection Procedures for Bank Service Time Based on Bayes Method. In: Karwowski, W., Trzcielinski, S., Mrugalska, B. (eds) Advances in Manufacturing, Production Management and Process Control. AHFE 2019. Advances in Intelligent Systems and Computing, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-20494-5_38
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DOI: https://doi.org/10.1007/978-3-030-20494-5_38
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