In: Operations Management
George Kyparisis makes bowling balls in his Miami plant. With recent increases in his costs, he has a newfound interest in efficiency. George is interested in determining the productivity of his organization. He would like to know if his organization is maintaining the manufacturing average of a 3% increase in productivity. He has the following data representing a month from last year and an equivalent month this year:
| 
 Last Year  | 
 Now  | 
 Cost Per Input Unit  | 
|
| 
 Units Produced  | 
 1 comma 2001,200  | 
 1 comma 2001,200  | 
|
| 
 Labor (hours)  | 
 280280  | 
 255255  | 
 $1212 per hour | 
| 
 Resin (pounds)  | 
 4848  | 
 4343  | 
 $66 per pound | 
| 
 Capital Invested ($)  | 
 10 comma 00010,000  | 
 11 comma 00011,000  | 
 22% per month | 
| 
 Energy (BTU)  | 
 2 comma 9002,900  | 
 2 comma 7502,750  | 
 $0.600.60 per BTU | 
The percent change in productivity for one month last year versus one month this year on a multifactor basis with dollars as the common denominator =
nothing%
(enter your response as a percentage rounded to two decimal places).
Based on the given data, we find the Multifactor Productivity for Lat year and Now as shown below:

Multifactor productivity last year = 0.3046 units / $
Multifactor productivity now = 0.2948 units / $
Change in productivity = (0.6417 - 0.6186) / 0.6186 = 3.73%
Answer: The percent change in productivity for one month last year versus one month this year on a multifactor basis with dollars as the common denominator = 3.73%
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