Evidence map›Paper›PMID 40328993›Full record

ArticleScientific reports2025

Analysis of junior servers approaching a senior server in the multi-server queueing-inventory system.

K Jeganathan, V Anzen Koffer, K Prasanna Lakshmi, N Anbazhagan, Gyanendra Prasad Joshi, Woong Cho

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

K JeganathanRamanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai, Tamil Nadu, 600005, India.
V Anzen KofferRamanujan Institute for Advanced Study in Mathematics, University of Madras, Chennai, Tamil Nadu, 600005, India.
K Prasanna LakshmiDepartment of Mathematics with Computer Applications, Ethiraj College for Women, Chennai, Tamil Nadu, 600008, India.
N AnbazhaganDepartment of Mathematics, Alagappa University, Karaikudi, Tamil Nadu, 630004, India.
Gyanendra Prasad JoshiDepartment of Electronic and AI System Engineering, Kangwon National University, Gangwon State, 25913, Samcheok-si, South Korea. joshi@kangwon.ac.kr.
Woong ChoDepartment of Electronic and AI System Engineering, Kangwon National University, Gangwon State, 25913, Samcheok-si, South Korea. wcho@kangwon.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper studies the multi-server queueing-inventory system, which consists of n junior servers, a senior server, and two distinct waiting halls dedicated for customers and junior servers. The junior servers sometimes face difficulties while providing the service to the customers. To tackle the issues, junior servers need guidance from the senior server. When the senior server is already assisting a junior server, the other junior servers who are approaching must wait in a waiting area of size n until they consult with the senior server. We analyze the performance of such a system by modeling it into a quasi-birth-and-death process, and its steady-state probability vector has been computed. The convexity in the expected total cost for systems employing both homogeneous and state-dependent service rates has been established. Our findings demonstrate that systems employing state-dependent service rate exhibit superior operational efficiency compared to homogeneous service rates. Additionally, we conducted a comparative analysis of the expected waiting times on both homogeneous and state-dependent service rates. The expected number of junior servers in both server and consultation modes is analyzed. Furthermore, we examined the influence of changing probabilities of junior servers seeking the consultation with the senior server and compared our model with the traditional queueing-inventory model with multiple servers. In the comparison, our model performs more efficiently which shows that implementing a senior server in the multi-server system would improve the efficiency of the system in many ways to boost up the business profit.

Indexed as

Infinite waiting hallJunior serversMatrix geometric methodQueueing-inventory systemSenior server

Identifiers

PMID40328993
PMCPMC12056230

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.