Meta heuristic optimization of a batch arrival retrial queue with optional re-service and M-optional vacations

R. Harini () and K. Indhira ()
Additional contact information
R. Harini: Vellore Institute of Technology
K. Indhira: Vellore Institute of Technology

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 9, No 5, 4252-4282

Abstract: Abstract Queueing systems (QS) are essential for modelling and optimising a wide range of real-world scenarios because they effectively control the flow of entities through a system where there are queues. Addressing this, proposed QS comprises with batch arrival, retrial policy, optional re-service, and M-optional vacation alongside breakdown situations. The dynamics of the system are thoroughly investigated by utilizing the supplementary variable technique, which enables greater understanding of the system’s behaviour and performance. Furthermore, Adaptive Neuro-Fuzzy Inference System computation is used to properly validate the analytical results, improving the precision and dependability of the model’s predictions. Finally, in an effort to minimize operating efficiency, a variety of advanced cost optimization approaches have been employed to determine the system’s ideal cost structure. As a result, through this integrated approach, the proposed QS not only furnishes perceptions into operational dynamics but also furnishes practical methods to reduce costs and authenticate analytical conclusions, thereby enhancing queueing theory progressions and realistic applications across diverse fields.

Keywords: Batch arrival; Retrial queues; Discretionary vacation; Optimization; ANFIS; 68M20; 90B22; 60K25 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-024-02418-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:15:y:2024:i:9:d:10.1007_s13198-024-02418-4

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-024-02418-4

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().