Question

Our examples in the chapter have focused on manufacturing, where the output is units of product...

Our examples in the chapter have focused on manufacturing, where the output is units of product and the inputs are manufacturing activities or costs. The concept of productivity can be applied in a variety of settings, wherever there are inputs and outputs. For example, consider LandscapeCity, a landscape design company that specializes in small landscape projects for people living in cities. Amanda Caldwell, the assistant manager, is in the process of trying to determine if productivity has been improving since she was hired 6 months ago. Because it is a design firm, labor is the only significant expense, but Amanda is unsure if the number of projects or the dollar of sales volume should be used when computing productivity. She has collected these data for sales and labor expenses for the past 6 months:

Month Labor Expense Number of Projects Sales Dollars
1 $ 21,310 44 $ 21,090
2 28,800 60 22,900
3 20,392 60 29,780
4 14,194 15 19,560
5 14,926 20 22,680
6 21,592 60 22,520

Required:

1. Calculate the productivity for each month and the change in productivity from month to month using number of projects as the measure of output.

2. Calculate the productivity for each month and the change in productivity from month to month using sales dollars as the measure of output.

Homework Answers

Answer #1

productivity measures efficiency of a business process by dividing the total output by amount of input utilized in production process

using number of projects as a output metric and labor expense as input metric

month labor expense number of projects productivity improvement in productivity
1 21310 44 0.0022 -
2 28800 60 0.0020 -0.0002
3 20392 60 0.0029 0.0009
4 14194 15 0.0010 -0.0019
5 14926 20 0.0013 -0.0003
6 21592 60 0.0027 0.0014

using sales as output metric

month labor expense sales productivity improvement in productivity
1 21310 21090 0.9896 -
2 28800 22900 0.7951 -0.1945
3 20392 29780 1.4603 0.6652
4 14194 19560 1.37804 -0.08226
5 14926 22680 1.5194 0.14136
6 21592 22520 1.04297 -0.47643
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