Question

In: Operations Management

Explain why would an accident on the highway during traffic rush hour cause higher amounts of...

Explain why would an accident on the highway during traffic rush hour cause higher amounts of traffic jams than non-rush hour times.

Back your answer up using operation management principles and logical arguments. Have at least 3 points of argument.

Solutions

Expert Solution

During a peak rush hour, the number of vehicles arriving per unit time on a busy road is higher than the lean time. Similarly, due to higher number of vehicles on the road, the time for a vehicle to pass through a road is higher. As a result, the high arrival rate and low passage rate through a road results in longer queue length, if the process stops suddenly ( which is the case whenever there is an accident). The rate of building up queue is much faster during rush hour than normal time ( because arrival rate remains the same while rate of passage suddenly reduces due to disruption) and this results in traffic jams whenever people try to disturb the queueing discipline ( jumping the line).

Operations Management is basically a systematic approach to resolve all the issues regarding the transformation process that converts inputs into output & fetch revenue. The operation management helps us to save the cost and reduce wastes and get more profit. Now in this case of an accident in the middle of a traffic rush causes huge traffic rush. If our organization is producing higher number of products in the market bcz demands are high,if organization stops the production then customers jumping to another product. It's created the disturbance like jams in the market.


Related Solutions

Assume that Norman has an average of 4.2 traffic accidents per hour during rush hour periods....
Assume that Norman has an average of 4.2 traffic accidents per hour during rush hour periods. a. What is the probability that there are more than five accidents in a particular hour? b. If there are two hours worth of rush hour periods per day (one hour in the morning, one hour in the afternoon), what is the probability that there are between 45 and 48 accidents in a work week of five days?
During rush hour, from 8 am to 9 am, traffic accidents occur according to a Poisson...
During rush hour, from 8 am to 9 am, traffic accidents occur according to a Poisson process with a rate of 5 accidents per hour. Between 9 am and 11 am, they occur as an independent Poisson process with a rate of 3 accidents per hour. What is the PMF of the total number of accidents between 8 am and 11 am?
Using operation and process management principles, explain why would an accident on the highway right in...
Using operation and process management principles, explain why would an accident on the highway right in the middle of traffic rush hour result in more traffic jams than during non-rush hour times?
A car service charges customers a flat fee per ride (which is higher during rush hour...
A car service charges customers a flat fee per ride (which is higher during rush hour traffic) plus charges for each minute and each mile. Suppose that, in a certain metropolotian area during rush hour, the flat fee is $3, the cost per minute is $0.20, and the cost per mile is $1.20. Let x be the number of minutes and y the number of miles. At the end of a ride, the driver said that the passenger owed $20.60...
A radar unit is used to measure the speed of cars on a highway during rush...
A radar unit is used to measure the speed of cars on a highway during rush hour traffic. The speeds of individual cars are normally distributed with a mean of 55 mph and a standard deviation of 3.2 mph. Find the probability of the following events: (a) A car traveling faster than average. (b) A car traveling over 65 mph (c) A car traveling between 48 and 50 mph.
The mean number of arrival at an airport during rush hour is 20 planes per hour...
The mean number of arrival at an airport during rush hour is 20 planes per hour while the mean number of departures is 30 planes per hour. Let us suppose that the arrivals and departures can each be described by a respective poisson process. The number of passengers in each arrival or departure has a mean of 100 and a coefficient of variation of 40%. a.) What is the probability that there will be a total of two arrivals and/or...
Explain why principal arterials carry 50% of the traffic volume but only 5% of the highway...
Explain why principal arterials carry 50% of the traffic volume but only 5% of the highway system mileage.
The metropolitan bus company claims that the mean wait time for a bus during rush hour...
The metropolitan bus company claims that the mean wait time for a bus during rush hour is less than 7 minutes. A random sample of 20 waiting times has a mean of 5.6 minutes with a standard deviation of 2.1 minutes. At a= 0.01, test the bus company’s claim. Assume the distribution is normally distributed.
The Metropolitan Bus Company claims that the mean waiting time for a bus during rush hour...
The Metropolitan Bus Company claims that the mean waiting time for a bus during rush hour is less than 10 minutes. A random sample of 20 waiting times has a mean of 8.6 minutes with a sample standard deviation of 2.1 minutes. At ? = 0.01, test the bus company's claim. Assume the distribution is normally distributed. - critical value z0 = -2.326; standardized test statistic ? -2.981; reject H0; There is sufficient evidence to support the Metropolitan Bus Company's...
A subway train on the Red Line arrives every 8 minutes during rush hour. We are...
A subway train on the Red Line arrives every 8 minutes during rush hour. We are interested in the length of time a commuter must wait for a train to arrive. The time follows a uniform distribution. A. Enter an exact number as an integer, fraction, or decimal. μ = B.  σ = Round your answer to two decimal places. C. Find the probability that the commuter waits less than one minute. D. Find the probability that the commuter waits between...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT