Answered You can hire a professional tutor to get the answer.
Hello, I am looking for someone to write an essay on CASE PROBLEM 2 OFFICE EQIPMENT , INC. It needs to be at least 500 words.In view of the waiting line model, OEI can predict the customer waiting tim
Hello, I am looking for someone to write an essay on CASE PROBLEM 2 OFFICE EQIPMENT , INC. It needs to be at least 500 words.
In view of the waiting line model, OEI can predict the customer waiting time by adding the total time that is expected to be spent on each client including travelling time and service time. Basically, if it takes one hour for the technician to travel to a customer and one and half hours to fix a problem,
then it would mean that he would need another hour to travel to the next customer assuming that they are within a similar distance according to the waiting line model. So on average it is two and half hours with the first customer then another hour to travel to the next customer. Customers should expect to wait for one hour, if by chance he is the first in line or between 3 and 4 hours on average considering that the technician would move from point A to B in one hour and would need about one and half hours to fix a problem before proceeding to the next customer. Generally 4 hours is the maximum waiting time for each client assuming that the technician would need to attend to first customers in line.
OEI is satisfied that one technician can service the 10 customers without much hassles. The probability that no customer is in the system can be derived from adding the total number of hours that would be spent on each customer. Given that on average he spends 3 hours per customer, and a customer calls at least once in 50 hours of operation, then it would mean that after the technician has worked for 30 hours, there no longer would be any customer in the system given that he would have attended to all of them within one specified 50 hour time frame.
The average number of customers waiting can be derived by subtracting the number of customers that would already have been attended to from the total number of customers which is 10 within a specified time range of 50 hours considering that each client calls once during that particular time. Another method may be to subtract the total number of hours already worked by the
