Abstract
Queuing theory is the mathematical study of waiting lines, or queues. A queuing model is constructed so that queue lengths and waiting time can be predicted. A basic queuing system consists of an arrival process (how customers arrive at the queue, how many customers are present in total), the queue itself, and the service process for attending to those customers, and departures from the system. This paper investigates the Automated Teller Machine (ATM) service optimization in the banking industry using queuing modelling approach. Data were collected over a week and calculations are done on an average. Measurements were taken about arrival time and service time of customers who arrived at the bank within the period of investigation. In ATM, bank customers arrive randomly and the service time is also random. We use Little's theorem and M/M/1 queuing model to derive the arrival rate, service rate, utilization rate, waiting time in the queue.
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This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation.
IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process.
IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further.
[1] Cabanac G, Labbé C and Magazinov A 2021 arXiv:2107.06751v1
Retraction published: 23 February 2022