2019
DOI: 10.1016/j.matcom.2018.03.001
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Two server Markovian inventory systems with server interruptions: Heterogeneous vs. homogeneous servers

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Cited by 22 publications
(5 citation statements)
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“…Hanukov et al [9] analyzed an inventory model denoted as M/M/2, where customer interest is piqued by observing the quantity of available stocks. Jeganathan et al [10] conducted a comparative study on a Markovian inventory model employing dual servers, examining both homogeneous and heterogeneous server configurations. Their numerical results underscored the superior efficiency of the heterogeneous system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Hanukov et al [9] analyzed an inventory model denoted as M/M/2, where customer interest is piqued by observing the quantity of available stocks. Jeganathan et al [10] conducted a comparative study on a Markovian inventory model employing dual servers, examining both homogeneous and heterogeneous server configurations. Their numerical results underscored the superior efficiency of the heterogeneous system.…”
Section: Literature Reviewmentioning
confidence: 99%
“…To obtain the sub matrices of ψ see [1]. From the well known structure of , that the CTMC, { z t ; t ≥0} with the finite state space is regular.…”
Section: Model Description and Notationsmentioning
confidence: 99%
“…Kalidass and Kasturi [2] discussed a slower rate of service with a queue, when the server is in breakdown condition. Further, with reference [1,3] interruption on various inventory problems are studied.…”
Section: Introductionmentioning
confidence: 99%
“…Preliminary services are produced in advance, deteriorating over time, and used to reduce future customers' service and wait times. Jeganathan et al [19] studied comparing a perishable inventory system's two heterogeneous servers with homogeneous servers, leading to the identification of an optimized total cost in the heterogeneous system. In the perishable inventory models, Jeganathan and Reiyas [20] considered two servers exclusively for high and low-priority servers, respectively, with working vacation for the first server and delayed working vacation for the second one.…”
Section: Introductionmentioning
confidence: 99%