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Reliability and sensitivity analysis for a banking company transmission system

Author

Listed:
  • Yi-Kuei Lin
  • Hsien-Chang Chou
  • Ping-Chen Chang

Abstract

This article studies a case of the banking company in Taiwan to measure the service performance by adopting reliability analysis. The service performance focuses on sending transaction data from one source (headquarters) to multiple sinks (bank branches) for a banking company transmission system. A stochastic flow network consisting of edges (transmission lines) and nodes (Internet data center or bank branches) is constructed to model such a computer system. The service-level agreement is a contract that requirements should be promised by the Internet service provider. Also, the bank needs to satisfy the customers’ requirements through the banking company transmission system. System reliability, which is defined as the probability of demand satisfaction, is studied as a key performance indicator for measuring service level of the banking company transmission system. Subsequently, sensitivity analysis is adopted to investigate the key transmission line that affects the system reliability most significantly. The system supervisor can make a decision for banking company transmission system to enhance the important edges for improving system reliability.

Suggested Citation

  • Yi-Kuei Lin & Hsien-Chang Chou & Ping-Chen Chang, 2017. "Reliability and sensitivity analysis for a banking company transmission system," Journal of Risk and Reliability, , vol. 231(2), pages 146-154, April.
    • Handle: RePEc:sae:risrel:v:231:y:2017:i:2:p:146-154
    DOI: 10.1177/1748006X16689540
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    References listed on IDEAS

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    1. Lin, Yi-Kuei & Yeh, Cheng-Ta, 2011. "Maximal network reliability for a stochastic power transmission network," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1332-1339.
    2. Joseph C. Hudson & Kailash C. Kapur, 1985. "Reliability Bounds for Multistate Systems with Multistate Components," Operations Research, INFORMS, vol. 33(1), pages 153-160, February.
    3. Yi‐Kuei Lin & Ping‐Chen Chang, 2012. "Evaluation of system reliability for a cloud computing system with imperfect nodes," Systems Engineering, John Wiley & Sons, vol. 15(1), pages 83-94, March.
    4. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    5. Ramirez-Marquez, Jose Emmanuel & Coit, David W., 2007. "Multi-state component criticality analysis for reliability improvement in multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1608-1619.
    6. Jane, Chin-Chia, 2011. "Performance evaluation of logistics systems under cost and reliability considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 130-137, March.
    7. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "Evaluating retail banking service quality and convenience with MCDA techniques: a case study at the bank branch level," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 1-21, February.
    8. Chin‐Chia Jane & Yih‐Wenn Laih, 2012. "Evaluating cost and reliability integrated performance of stochastic logistics systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(7), pages 577-586, October.
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