scroll to top
Stuck on your essay?
Get ideas from this essay and see how your work stacks up
Word Count: 906
The Case The goal of this case study was to gain a further understanding and application skills of waiting line analysis This case analyzed the existing staffing policies for Polonius National Bank PNB The goal of the analysis was to determine the optimal number of cashiers that the bank should staff using a waiting line model Once this optimal number of cashiers was decided upon it was necessary to determine for what range of goodwill costs the number of cashiers would remain the same Data The data was gathered at a particular time when the arrival rates and service time patterns were expected to be consistent on a day to day basis It was determined that this time was from 900 AM to 1130 AM A branch employee recorded the number of arrivals during randomly chosen minutes on several different days during the selected time window Table 11 in the appendix shows the data recorded Also recorded by the employee was the service time each customer required to complete their transaction The time did not include the amount of time the customers spent waiting in line This data can be found in Table 12 in the appendix Distribution Computations With all the appropriate data acquired an analysis was conducted The first step in the analysis was to determine the expected arrival rate 955 This was determined by first finding the total number of time segments observed found to be 1273 The probability of arrivals per minute was determined by dividing the number of occurrences for each arrival rate per minute ranging from 0 customers per minute to 18 customers per minute by the total number of observed minutes The product of the arrivals per minute and the probability was calculated for each number of arrivals This was then summed to determine that 955 5498 Table 21 in the appendix shows this data The next step was to determine the expected service time per customer
@Kibin is a lifesaver for my essay right now!!
- Sandra Slivka, student @ UC Berkeley
Wow, this is the best essay help I've ever received!
- Camvu Pham, student @ U of M
If I'd known about @Kibin in college, I would have gotten much more sleep
- Jen Soust, alumni @ UCLA