<p>The present investigation establishes an unreliable single-server retrial queue with a starting failure, a mandatory first-phase service, an optional second-phase service, a Bernoulli working vacation, and an impatient customer. After completing the mandatory service, customers have the option to opt for the optional second-phase service. Aside from the probability <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10479_2025_6547_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="15" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>β</mi> </math></EquationSource> </InlineEquation>, the system can be left with the probability <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10479_2025_6547_Article_IEq2.gif" Format="GIF" Height="19" Rendition="HTML" Resolution="72" Type="Linedraw" Width="15" /> </InlineMediaObject> <EquationSource Format="TEX">\(\bar{\beta }\)</EquationSource> <EquationSource Format="MATHML"><math> <mover accent="true"> <mrow> <mi>β</mi> </mrow> <mrow> <mo stretchy="false">¯</mo> </mrow> </mover> </math></EquationSource> </InlineEquation>. When the orbit is empty, the server switches over to working vacation. The server will provide service at a discounted rate during the working vacation. At the end of every vacation, if any of the customers find themselves available in the system, then the server develops into inactive and takes access for serving the newly arriving customer with <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10479_2025_6547_Article_IEq3.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\gamma \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>γ</mi> </math></EquationSource> </InlineEquation> as its probability (single working vacation) or will continue the vacation along probability <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10479_2025_6547_Article_IEq4.gif" Format="GIF" Height="15" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\(\bar{\gamma }\)</EquationSource> <EquationSource Format="MATHML"><math> <mover accent="true"> <mrow> <mi>γ</mi> </mrow> <mrow> <mo stretchy="false">¯</mo> </mrow> </mover> </math></EquationSource> </InlineEquation> (multiple working vacation). An unreliable server faces starting failure with probability <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10479_2025_6547_Article_IEq5.gif" Format="GIF" Height="10" Rendition="HTML" Resolution="72" Type="Linedraw" Width="14" /> </InlineMediaObject> <EquationSource Format="TEX">\(\alpha \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>α</mi> </math></EquationSource> </InlineEquation> on the occasion of the arrival of a new customer or customer from orbit. Next, we transferred the customer from the service station to the orbit, and he attempted to receive service again at a random interval. We used the supplementary variable technique to determine the steady-state probability-generating function of both the system and the orbit. This paper discussed several key performance metrics of the system. In the end, we produced numerical illustrations and models of 3D figures for various outcomes.</p>

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Unpredictable two-stage retrial model featuring impatient customers pinned Bernoulli working vacations and starting failure

  • Bharathy Shanmugam,
  • Saravanarajan M. C.

摘要

The present investigation establishes an unreliable single-server retrial queue with a starting failure, a mandatory first-phase service, an optional second-phase service, a Bernoulli working vacation, and an impatient customer. After completing the mandatory service, customers have the option to opt for the optional second-phase service. Aside from the probability \(\beta \) β , the system can be left with the probability \(\bar{\beta }\) β ¯ . When the orbit is empty, the server switches over to working vacation. The server will provide service at a discounted rate during the working vacation. At the end of every vacation, if any of the customers find themselves available in the system, then the server develops into inactive and takes access for serving the newly arriving customer with \(\gamma \) γ as its probability (single working vacation) or will continue the vacation along probability \(\bar{\gamma }\) γ ¯ (multiple working vacation). An unreliable server faces starting failure with probability \(\alpha \) α on the occasion of the arrival of a new customer or customer from orbit. Next, we transferred the customer from the service station to the orbit, and he attempted to receive service again at a random interval. We used the supplementary variable technique to determine the steady-state probability-generating function of both the system and the orbit. This paper discussed several key performance metrics of the system. In the end, we produced numerical illustrations and models of 3D figures for various outcomes.