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 |
|
Units Produced |
1 comma 2001,200 |
1 comma 2001,200 |
Labor (hours) |
300300 |
250250 |
Resin (pounds) |
5050 |
4646 |
Capital Invested ($) |
9 comma 0009,000 |
11 comma 00011,000 |
Energy (BTU) |
3 comma 0003,000 |
2 comma 5002,500 |
The productivity change for each of the inputs (Labor, Resin, Capital, and Energy) is:
Labor Productivity Change =
nothing%
(enter your response as a percentage rounded to two decimal places and include a minus sign if necessary).
Resin Productivity Change =
nothing%
(enter your response as a percentage rounded to two decimal places and include a minus sign if necessary).
Capital Invested Productivity Change =
nothing%
(enter your response as a percentage rounded to two decimal places and include a minus sign if necessary).
Energy Productivity Change =
nothing%
(enter your response as a percentage rounded to two decimal places and include a minus sign if necessary).
PROODUCTIVITY = OUTPUT / INPUT
PERCENTAGE CHANGE IN PRODUCTIVITY = ((NEW PRODUCTIVITY - OLD PRODUCTIVITY) / OLD PRODUCTIVITY) * 100
LAST YEAR |
THIS YEAR |
% CHANGE |
|
PRODUCED |
1200 |
1200 |
|
LABOR (HOURS) |
1200 / 300 = 4 |
1200 / 250 = 4.8 |
((4.8 - 4) / 4) * 100 = 20 |
RESIN(POUNDS) |
1200 / 50 = 24 |
1200 / 46 = 26.087 |
((26.087 - 24) / 24) * 100 = 8.7 |
CAPITAL |
1200 / 9000 = 0.1333 |
1200 / 11000 = 0.1091 |
((0.1091 - 0.1333) / 0.1333) * 100 = -18.15 |
ENERGY(BTU) |
1200 / 3000 = 0.4 |
1200 / 2500 = 0.48 |
((0.48 - 0.4) / 0.4) * 100 = 20 |
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