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 small barbershop, operated by a single barber, has room for at most two customers. Potential customers arrive at a Poisson rate of three per hour, and the successive service times are independent exponential random variables with mean \(\frac{1}{4}\) hour. (a) What is the average number of customers in the shop? (b) What is the proportion of potential customers that enter the shop? (c) If the barber could work twice as fast, how much more business would he do?

Short Answer

Expert verified
The average number of customers in the shop is 3. The proportion of potential customers that enter the shop is 75%. If the barber could work twice as fast, he would do 12.5% less business.

Step by step solution

01

Calculate arrival rate, service rate, utilization factor, average number of customers in the system and probability that the system is empty

We have the following parameters: Arrival rate (λ) = 3 customers per hour Service rate (μ) = 4 customers per hour Using these values, we can calculate the utilization factor (ρ), the average number of customers in the system (L), and the probability that the system is empty (P0). Utilization factor (ρ) = λ/μ = 3/4 Average number of customers in the system (L) = ρ / (1 - ρ) = (3/4) / (1 - 3/4) Probability that the system is empty (P0) = 1 - ρ = 1 - 3/4
02

Answer to part (a): Average number of customers in the shop

Average number of customers in the system (L) = (3/4) / (1 - 3/4) = 3. So, there are on average 3 customers in the shop.
03

Answer to part (b): Proportion of potential customers that enter the shop

Probability that a potential customer enters the shop (1 - P0) = 1 - (1 - 3/4) = 3/4. So, 3 out of 4 potential customers (75%) enter the shop.
04

Calculate business increase if the barber works twice as fast

We are given that the barber could work twice as fast, so the new service rate (μ') would be: New service rate (μ') = 2 * μ = 2 * 4 = 8 customers per hour Now, calculate the new utilization factor (ρ'), average number of customers in the new system (L'), and probability that the new system is empty (P0'). New utilization factor (ρ') = λ/μ' = 3/8 Average number of customers in the new system (L') = ρ' / (1 - ρ') = (3/8) / (1 - 3/8) Probability that the new system is empty (P0') = 1 - ρ' = 1 - 3/8 The business increase would be the difference in proportion between the old and new systems: Business increase = (1 - P0') - (1 - P0) = P0 - P0' = 1/4 - 5/8 = -1/8
05

Answer to part (c): How much more business would the barber do?

Business increase = -1/8. However, since the negative sign implies a decrease, we can say that the barber would do 1/8 or 12.5% less business if he worked twice as fast. This may seem counterintuitive, but working twice as fast would make potential customers less likely to enter the shop when there is already one customer inside, as they will expect the service to be very fast. The barber would finish his current task faster, but less customers will enter the shop on average.

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 Yule process starting with a single individual-that is, suppose \(X(0)=1\). Let \(T_{i}\) denote the time it takes the process to go from a population of size \(i\) to one of size \(i+1\) (a) Argue that \(T_{i}, i=1, \ldots, j\), are independent exponentials with respective rates i\lambda. (b) Let \(X_{1}, \ldots, X_{j}\) denote independent exponential random variables each having rate \(\lambda\), and interpret \(X_{i}\) as the lifetime of component \(i\). Argue that \(\max \left(X_{1}, \ldots, X_{j}\right)\) can be expressed as $$ \max \left(X_{1}, \ldots, X_{i}\right)=\varepsilon_{1}+\varepsilon_{2}+\cdots+\varepsilon_{j} $$ where \(\varepsilon_{1}, \varepsilon_{2}, \ldots, \varepsilon_{j}\) are independent exponentials with respective rates \(j \lambda\) \((j-1) \lambda, \ldots, \lambda\) Hint: Interpret \(\varepsilon_{i}\) as the time between the \(i-1\) and the ith failure. (c) Using (a) and (b) argue that $$ P\left[T_{1}+\cdots+T_{j} \leqslant t\right\\}=\left(1-e^{-\lambda t}\right)^{j} $$ (d) Use (c) to obtain $$ P_{1 j}(t)=\left(1-e^{-\lambda t}\right)^{j-1}-\left(1-e^{-\lambda t}\right)^{j}=e^{-\lambda t}\left(1-e^{-\lambda t}\right)^{j-1} $$ and hence, given \(X(0)=1, X(t)\) has a geometric distribution with parameter \(p=e^{-\lambda t}\) (e) Now conclude that $$ P_{i j}(t)=\left(\begin{array}{l} j-1 \\ i-1 \end{array}\right) e^{-\lambda t i}\left(1-e^{-\lambda t}\right)^{j-i} $$

Suppose that a one-celled organism can be in one of two states-either \(A\) or \(B\). An individual in state \(A\) will change to state \(B\) at an exponential rate \(\alpha ;\) an individual in state \(B\) divides into two new individuals of type \(A\) at an exponential rate \(\beta .\) Define an appropriate continuous- time Markov chain for a population of such organisms and determine the appropriate parameters for this model.

Potential customers arrive at a single-server station in accordance with a Poisson process with rate \(\lambda .\) However, if the arrival finds \(n\) customers already in the station, then he will enter the system with probability \(\alpha_{n}\). Assuming an exponential service rate \(\mu\), set this up as a birth and death process and determine the birth and death rates.

After being repaired, a machine functions for an exponential time with rate \(\lambda\) and then fails. Upon failure, a repair process begins. The repair process proceeds sequentially through \(k\) distinct phases. First a phase 1 repair must be performed, then a phase 2, and so on. The times to complete these phases are independent, with phase \(i\) taking an exponential time with rate \(\mu_{i}, i=1, \ldots, k\) (a) What proportion of time is the machine undergoing a phase \(i\) repair? (b) What proportion of time is the machine working?

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.

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