Problem 2-6

A manager checked production records and found that a worker produced 198 units while working 60 hours. In the previous week, the same worker produced 150 units while working 50 hours.

a. Compute Current period productivity and Previous period productivity. (Round your answers to 2 decimal places.)

Current period productivity			Units / hr
Previous period productivity			Units / hr

b. Did the worker's productivity increase, decrease, or remain the same? (Round your intermediate calculations and final answer to 2 decimal places. Omit the "%" sign in your response.) Worker's productivity (select) decreased increased ___ remain the same ___ by %

Problem 2-4

A company that makes shopping carts for supermarkets and other stores recently purchased some new equipment that reduces the labor content of the jobs needed to produce the shopping carts. Prior to buying the new equipment, the company used 6 workers, who together produced an average of 70 carts per hour. Workers receive $14 per hour, and machine cost was $50 per hour. With the new equipment, it was possible to transfer one of the workers to another department, and equipment cost increased by $10 per hour while output increased by 5 carts per hour. a. Compute labor productivity under each system. Use carts per worker per hour as the measure of labor productivity. (Round your answers to 3 decimal places.)

Before			carts per worker per hour
After			carts per worker per hour

b. Compute the multifactor productivity under each system. Use carts per dollar cost (labor plus equipment) as the measure. (Round your answers to 3 decimal places.)

Before			carts/dollar cost
After			carts/dollar cost

c. Comment on the changes in productivity according to the two measures. Round your intermediate calculations to 3 decimal places and final answers to 2 decimal places.

Labor productivity	(select) increased decreased ____ by %
Multifactor productivity	(select) decreased increased ____by %

Problem 3-20

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 F_t = 127 + 1.9t, 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 intermediate calculations and final answers to 2 decimal places.)

t	Units Sold
11	148
12	146
13	151
14	146
15	155
16	150
17	154
18	156
19	162
20	162

MAD (Naive)
MAD (Linear)
MSE (Naive)
MSE (Linear)

(Click to select) Naive method or Linear trend provides forecasts with less average error and less average squared error.

Problem 3-2

National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows:

Month	Sales (000)Units
Feb.	12
Mar.	15
Apr.	9
May.	17
Jun.	19
Jul.	20
Aug.	24

b. Forecast September sales volume using each of the following:

(1) A linear trend equation. (Round your intermediate calculations and final answer to 2 decimal places.) Yt thousands

(2) A five-month moving average. (Round your answer to 2 decimal places.)

Moving average thousands

(3) Exponential smoothing with a smoothing constant equal to .10, assuming a March forecast of 14(000). (Round your intermediate forecast values and final answer to 2 decimal places) Forecast thousands

(4) The naive approach.

Naive approach thousands

(5) A weighted average using .70 for August, .10 for July, and .20 for June. (Round your answer to 2 decimal places.)

Weighted average thousands