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Special Issue "Advances in Queueing Theory"

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A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section " Dynamical Systems ".

Deadline for manuscript submissions: 15 March 2023 | Viewed by 5864

queuing theory research paper in mathematics 2021

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queuing theory research paper in mathematics 2021

Dear Colleagues,

The purpose of this Special Issue is to gather a collection of articles devoted to recent studies in the field of Queueing Theory. The topic includes theoretical studies in queueing theory, their application in practice for real systems and processes, and related fields that correspond to stochastic modeling.

Prof. Dr. Anatoly Nazarov Prof. Dr. Alexander Dudin Guest Editors

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queuing theory research paper in mathematics 2021

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Application of queuing theory to reduce waiting period at ATM using a simulated approach

S Devi Soorya 1 and K S Sreelatha 2

Published under licence by IOP Publishing Ltd IOP Conference Series: Materials Science and Engineering , Volume 1145 , International Conference on Chemical, Mechanical and Environmental Sciences (ICCMES 2021), 25th-26th March 2021, Coimbatore, India Citation S Devi Soorya and K S Sreelatha 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1145 012041 DOI 10.1088/1757-899X/1145/1/012041

This article is retracted by 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1145 012160

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1 Department of Mathematics, Amrita School of Arts and Science, Amrita Vishwa Vidyapeetham Amritapuri Campus, Kollam, Kerala, India

2 Assistant Professor, Department of Mathematics, Amrita School of Arts and Science, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India

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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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Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence . Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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

queuing theory research paper in mathematics 2021

Queueing Systems

Theory and Applications

Queueing Systems: Theory and Applications  (QUESTA) is a well-established journal focusing on queueing theory. The models considered concern resource sharing in a wide sense, particularly within a network context, with probability theory being the main analytic tool. QUESTA welcomes papers directly contained in the above scope as well as papers at the interface between queueing and adjacent areas. Specific topics covered by the journal are:

The prospective areas of application include, but are not restricted to, production, storage and logistics, traffic and transportation systems, and computer and communication systems. Apart from regular research papers, the journal also solicits short communications, surveys, and papers on future research directions.

Officially cited as: Queueing Syst

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Issue 1-2, February 2023

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Call for papers on gaussian queues.

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Call for Papers on Product Forms, Stochastic Matching, and Redundancy

Learn more about the upcoming Special Issue on Product Forms, Stochastic Matching, and Redundancy that is open for submissions.

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Queueing Systems  is indexed by Scopus and has a CiteScore of 2.0 for 2021.

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    In this paper, we study a finite capacity queue where the arrival process is a special case of the discrete time Markov modulated Poisson process, the service

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    Queueing theory is the mathematical study of waiting for lines or queues and is one of the most commonly used mathematical tools for the

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    This article is retracted by 2021 IOP Conf. Ser.: Mater. Sci. ... Queuing theory is the mathematical study of waiting lines, or queues.

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    original research work done by Ms. APARNA DEVAN (CCATMMS007) during the period of her study in the Department of Mathematics, Christ College.

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    Queuing theory is the mathematical study of waiting lines, ... 2021). In order to contribute to the ongoing argument, this paper analyzed queuing theory and.

  9. Cost Analysis of M/M/1 and MF/MF/1 Queuing Model using ANN and

    Turkish Journal of Computer and Mathematics Education Vol.12 No.12 (2021), 1547-1562. Research Article. 1547. Cost Analysis of M/M/1 and

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    The models considered concern resource sharing in a wide sense, particularly within a network context, with probability theory being the main analytic tool.