IMPROVING CASH AVAILABILITY OF ATM USING LEAN REPLENISHMENT PULL FOR SHARIA BANK IN INDONESIA
DOI:
https://doi.org/10.22219/mb.v10i2.13317Keywords:
Cash Replenishment, Lean Pull Replenishment, ATM, Sharia BankingAbstract
To maintain the company's sustainability of quality and the increasingly rapid competition between banking institutions, a bank must continue to protect its customers from the ease and availability of services when needed anytime and anywhere. Automated Teller Machines (ATM) are the most common banking products and services used by the public. Previously, Activities carried out by the teller can already be done through an ATM. Availability of the ATM has been a special attention among the banking industry and CIT (Cash in transit) company. Factors that cause ATM unavailable are: hardware, receipt, network, and cash, one of the most critical factors is cash availability. Previous study shows some concern of cost and risk of inventory cash on ATM, that leads to study of cash prediction method to replenishment cash of the ATM. Current conditions, Bank ATMs have an average percentage of cash availability in the last 6 months of 92.86%, which means there is 7.1% of cash not available. The aim of this study is to adapt the lean replenishment pull system to manage cash replenishment of the bank ATMs and to achieve level 4 of sigma (99.38%) on ATM cash availability. By collecting, measuring and analyzing availability data and transactions data on both on-site and off-site ATMs samples for the certain period. The proposed model is to determine warning to do the cash replenishment and the Kmin of cash status. Thus, the cash supply at the ATM machine is sufficient, and no idle money occurs.Downloads
References
Batı, S., & Züpek, D. (2017). Joint Optimization of Cash Management and Routing for New-Generation Automated Teller Machine Networks. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS: SYSTEMS, 1-15.
Dandekar, P., & Ranade, K. (2015). ATM Cash Flow Management. International Journal of Innovation, Management and Technology, 6(5), 345-347.
Genevois, M., Celik, D., & Ulukan, H. (2015). ATM Location Problem and Cash Management in Automated Teller Machines . International Journal of Industrial and Manufacturing Engineering, 9(7), 2543-2548.
George, M. (2002). Lean Six Sigma: Combining Six Sigma Quality with Lean Speed. McGraw
Hill. Jones, S. (2006). Utilizing a Replenishment Pull System to Reduce Print Output Total Cost of Ownership. Retrieved from International Society of Six SigmaProfessionals:https://isssp.org/resources/using-a-replenishment-pull-system-to-reduce-print-output-total-cost-of-ownership/
Kumar, S. (2017). Achieving customer service excellence using Lean Pull Replenishment . International Journal of Productivity and Performance Management, 62 (1), 85-109. Kurdel, P., & Sebestyénová, J. (n.d.). Modeling and optimization of ATM cash replenishment. Latest Trends in Information Technology.
Liker, J. (2004). The Toyota Way: 14 Management Principles from the World's Greatest Manufacturer . McGraw Hill.
Nusraningrum, D., & Gana Senjaya, E. (2019, November). Over all Equipment Effectiveness (OEE) Measurement Analysis on Gas Power Plant with Analysis of Six Big Losses. International Journal of Business Marketing and Management (IJBMM), 4(11), 19-27.
Rajwani, A., Syed, T., Khan, B., & Behlim, S. (2017). Regression analysis for ATM cash flow prediction. International Conference on Frontiers of Information Technology, 212-217.
Soodabeh Poorzaker, A., & Hosein Ebrahimpour, K. (2018). The Improvement of Forecasting ATMs Cash Demand of Iran Banking Network Using Convolutional Neural Network. Arabian Journal for Science and Engineering.
Van Anholt, R., & Vis, I. (2015). An integrative online atm forecasting and replenishment model with a target fill rate. Proceedings of The International Conferene on Logistics and Maritime Systems, at Busan, Korea, 1-10.
Velivassaki, T.-H., Panagiotis , A., & Panagiotis , T. (2012). uCash: ATM Cash Management as a Critical and Data-intensive Application . Proceedings of the 9th International Conference on Cloud Computing and Services Science, 642-647.
Yongwu, Z., Qiran, W., Yongzhong, W., & Mianmian, H. (2020). Data-Driven Cash Replenishment Planning of Recycling ATMs with Outof- Cash and Full-of-Cash Risks . International Journal of Information Systems and Supply Chain Management, 13(2), 77-96.
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