An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is Ft = 127 + 2.0t, and it was developed using data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? (Round your answers to 2 decimal places.)

t Units Sold11 14412 14813 14914 14215 15216 15217 15518 15519 15920 165

Given this set of daily service operations, and assuming a processing order of A-B-C-D-E:

Service Operation Number of Daily RepsA 32B 20C 4D 8E 28A company manufactures hair dryers. It buys some of the components, but it makes the heating element, which it can produce at the rate of 880 per day. Hair dryers are assembled daily, 248 days a year, at a rate of 330 per day. Because of the disparity between the production and usage rates, the heating elements are periodically produced in batches of 2,200 units.

a. Approximately how many batches of heating elements are produced annually? (Round your answer to 2 decimal places.)

Number of batches

b. If production on a batch begins when there is no inventory of heating elements on hand, how much inventory will be on hand two days later?

Number of inventory

c. What is the average inventory of elements, assuming each production cycle begins when there are none on hand? (Do not round intermediate calculations. Round your answer to the nearest whole number.)

Average inventory

d. The same equipment that is used to make the heating elements could also be used to make a component for another of the firm’s products. That job would require four days, including setup. Setup time for making a batch of the heating elements is a half day. Is there enough time to do this job between production of batches of heating elements?YesNo

A tourist center is open on weekends (Friday, Saturday, and Sunday). The owner-manager hopes to improve scheduling of part-time employees by determining seasonal relatives for each of these days. Data on recent traffic at the center have been tabulated and are shown in the following table: Week 1 2 3 4 5 6 Friday 144 155 151 155 157 163 Saturday 255 257 263 266 275 278 Sunday 165 163 170 171 177 181________________________________________ a. Develop seasonal relatives for the shop using the centered moving average method. (Round your intermediate calculations and final answers to 2 decimal places.) Friday

Saturday

Sunday

________________________________________ b. Develop seasonal relatives for the shop using the SA method. (Round your intermediate calculations and final answers to 4 decimal places.) SA Index Friday

Saturday

Sunday