This is the same information for all six questions about this hypothetical situation.

Maria is the Assistant GM of a newly opened 24-hour Wawa location outside of Philadelphia. There is no past data on which to develop a solid forecast for her location, and for the stores first month of operation, she has to decide how many cashiers to schedule on the 12 midnight to 6am time window. She is considering a situation where she schedules only a single food preparation associate during this time window, which would create a single-line checkout. Maria remembers from her Rutgers coursework about the queuing theory, and she believes that her thinking for a single food preparation associate would represent an MM1 queuing model. She also remembers that her thinking for two food preparation associates would represent an MMk model, where k =2. So she decides to find her old Excel spreadsheets and use that model to determine some waiting line data to aid in her decision.

Based on her past experience at other Wawa locations, Maria estimates inside-store or online/app orders by customers from the food service counter are 45 per hour during the time window under consideration. Maria also estimates that an experienced food preparation associate can process (service), on average, one customer order every 64 seconds. Using this information, and the MM1 and MMk template models, answer the following questions to help Maria make a decision:

(b) What is mu?

a. 64

b. 45

c. 1.33

d. 56.25