WITHDRAWN: A MRSPN Analysis for a Non-Markovian Retrial System with Mixed Standbys

Kheireddine BOUDEHANE; Samira Taleb

doi:10.21203/rs.3.rs-7272898/v3

August 15, 2025

WITHDRAWN: A MRSPN Analysis for a Non-Markovian Retrial System with Mixed Standbys

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Key Points

Non-Markovian retrial systems can enhance operational efficiency across different settings, especially in queued processes.
Key parameters of mixed standbys contribute significantly to performance metrics in the analyzed system.
Analytical methods used include Markov regenerative processes, providing a deeper understanding of system dynamics.
Findings highlight call for further research into practical application and optimization of such systems.

Implication

Analysis reveals insights into a complex retrial system, implying its usefulness in various applications.

Abstract

Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

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Cite This Study

BOUDEHANE et al. (2025) studied this question.

synapsesocial.com/papers/68af509bad7bf08b1ead8868 https://doi.org/10.21203/rs.3.rs-7272898/v3

View Full Paper

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WITHDRAWN: A MRSPN Analysis for a Non-Markovian Retrial System with Mixed Standbys

Key Points

Implication

Abstract

Discussion

Cite This Study

WITHDRAWN: A MRSPN Analysis for a Non-Markovian Retrial System with Mixed Standbys

Key Points

Implication

Abstract

Discussion

Cite This Study

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