Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

A single repairperson looks after both machines 1 and \(2 .\) Each time it is repaired, machine \(i\) stays up for an exponential time with rate \(\lambda_{i}, i=1,2 .\) When machine \(i\) fails, it requires an exponentially distributed amount of work with rate \(\mu_{i}\) to complete its repair. The repairperson will always service machine 1 when it is down. For instance, if machine 1 fails while 2 is being repaired, then the repairperson will immediately stop work on machine 2 and start on \(1 .\) What proportion of time is machine 2 down?

Short Answer

Expert verified
The proportion of time machine 2 is down can be calculated using the formula: \(p_{2\_down} = \frac{\lambda_{2}(\mu_{1} + \lambda_{1})}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})}\). Plug in the given values for λ₁, λ₂, μ₁, and μ₂ to find the proportion of downtime for machine 2.

Step by step solution

01

Identify possible system states

In this problem, there are four possible scenarios in which machines 1 and 2 can be down or up: 1. Both machines are up (State UU). 2. Machine 1 is down and machine 2 is up (State DU). 3. Machine 1 is up and machine 2 is down (State UD). 4. Both machines are down (State DD).
02

Set up rate equations for each state

The balance of flow into and out of each state can be described by rate equations. In these equations, p_UU, p_DU, p_UD, and p_DD represent the steady-state probabilities of states UU, DU, UD, and DD, respectively. Rate equations: 1. State UU: \( (\lambda_{1} + \lambda_{2}) p_{UU} = \mu_{1} p_{DU} \) 2. State DU: \( \lambda_{1} p_{DU} = \mu_{1} p_{UU} + \mu_{2} p_{DD} \) 3. State UD: \( \lambda_{2} p_{UD} = \mu_{2} p_{UU} \) 4. State DD: \( \lambda_{1} p_{DD} = \mu_{1} p_{UD} + \lambda_{2} p_{DU} \)
03

Solve the rate equations

Solving these rate equations, we can get the steady-state probabilities of each state: 1. State UU: \(p_{UU} = \frac{\mu_{1} \mu_{2}}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})}\) 2. State DU: \(p_{DU} = \frac{\lambda_{1} \mu_{2}}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})}\) 3. State UD: \(p_{UD} = \frac{\lambda_{2} (\mu_{1} - \lambda_{2})}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})}\) 4. State DD: \(p_{DD} = \frac{\lambda_{1} \lambda_{2}}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})}\)
04

Calculate the proportion of time machine 2 is down

Machine 2 is down either when both machines are down (State DD) or when machine 1 is up and machine 2 is down (State UD). Hence, the proportion of time machine 2 is down can be given by: Proportion of downtime for machine 2: \(p_{2\_down} = p_{UD} + p_{DD}\) Replace p_UD and p_DD with their values from Step 3: \(p_{2\_down} = \frac{\lambda_{2} (\mu_{1} - \lambda_{2})}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})} + \frac{\lambda_{1} \lambda_{2}}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})}\) Combining the terms: \(p_{2\_down} = \frac{\lambda_{2}(\mu_{1} + \lambda_{1})}{(\lambda_{1} + \lambda_{2})(\mu_{1} + \mu_{2} - \lambda_{2})}\) Thus, the proportion of time machine 2 is down can be calculated by plugging in the given values for λ₁, λ₂, μ₁, and μ₂ into the above formula.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Consider a set of \(n\) machines and a single repair facility to service these machines. Suppose that when machine \(i, i=1, \ldots, n\), fails it requires an exponentially distributed amount of work with rate \(\mu_{i}\) to repair it. The repair facility divides its efforts equally among all failed machines in the sense that whenever there are \(k\) failed machines each one receives work at a rate of \(1 / k\) per unit time. If there are a total of \(r\) working machines, including machine \(i\), then \(i\) fails at an instantaneous rate \(\lambda_{i} / r\) (a) Define an appropriate state space so as to be able to analyze the preceding system as a continuous-time Markov chain. (b) Give the instantaneous transition rates (that is, give the \(\left.q_{i j}\right)\). (c) Write the time reversibility equations. (d) Find the limiting probabilities and show that the process is time reversible.

Consider an ergodic \(\mathrm{M} / \mathrm{M} / \mathrm{s}\) queue in steady state (that is, after a long time) and argue that the number presently in the system is independent of the sequence of past departure times. That is, for instance, knowing that there have been departures 2, 3,5, and 10 time units ago does not affect the distribution of the number presently in the system.

Consider a system of \(n\) components such that the working times of component \(i, i=1, \ldots, n\), are exponentially distributed with rate \(\lambda_{i} .\) When a component fails, however, the repair rate of component \(i\) depends on how many other components are down. Specifically, suppose that the instantaneous repair rate of component \(i, i=1, \ldots, n\), when there are a total of \(k\) failed components, is \(\alpha^{k} \mu_{i}\) (a) Explain how we can analyze the preceding as a continuous-time Markov chain. Define the states and give the parameters of the chain. (b) Show that, in steady state, the chain is time reversible and compute the limiting probabilities.

Individuals join a club in accordance with a Poisson process with rate \(\lambda\). Each new member must pass through \(k\) consecutive stages to become a full member of the club. The time it takes to pass through each stage is exponentially distributed with rate \(\mu\). Let \(N_{i}(t)\) denote the number of club members at time \(t\) who have passed through exactly \(i\) stages, \(i=1, \ldots, k-1 .\) Also, let \(\mathrm{N}(t)=\left(N_{1}(t), N_{2}(t), \ldots, N_{k-1}(t)\right)\) (a) Is \(\\{\mathbf{N}(t), t \geqslant 0\\}\) a continuous-time Markov chain? (b) If so, give the infinitesimal transition rates. That is, for any state \(\mathrm{n}=\) \(\left(n_{1}, \ldots, n_{k-1}\right)\) give the possible next states along with their infinitesimal rates.

Consider two machines, both of which have an exponential lifetime with mean \(1 / \lambda .\) There is a single repairman that can service machines at an exponential rate \(\mu .\) Set up the Kolmogorov backward equations; you need not solve them.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free