Enhancing Precision of Automated Teller Machines Network Quality Assessment: Machine Learning and Multi Classifier Fusion Approaches

The performance of these machines is therefore not only vital to ensuring customer satisfaction but also to maintain efficiency in operations by financial institutions. The Key Performance Indicators (KPIs) involved are availability, reliability, Mean Time to Failure (MTTF), Mean Time to Repair (MTTR), among others, which are important in determining the quality and reliability of the entire ATM network to assist the banking managers. Availability is the proportion of time an ATM network remains'in-service' compared to'out-of-service', indicating its operational uptime. Reliability, given by the expression exp( t/MMTF), is the likelihood that one of the ATMs will operate without failure for some period t. MTTF is the total in-service time divided by the number of out-of-service occurrences. MTTR stands for the mean time to repair and put back an ATM in service. Banking managers base decisions on how well these KPIs are forecast. However, some significant decisional limitations may be brought about by errors in the measurement of ATM status--when an ATM is either out of service and the system does not detect so, or, in the case of a false alarm, if it is functioning properly but the method has signaled it as out of order. These may lead to quite unnecessary maintenance interventions, higher operational costs, and reduced machine availability--affecting customer trust and financial performance.