Operations Management and Factors Affecting Productivity (100 points)

Maduro Cleaning is a small organization that provides cleaning services to both residential and commercial clients. As a small organization, the owner assigns crews of two, three, or four employees to jobs each morning but the owner does not have a good method of determining a reasonable amount of time that each cleaning should take. The owner decided to keep data on job times and crew sizes in the hopes of developing a productivity measure.

Address the following requirements:

• Calculate which of the crew sizes has the best productivity per worker, and explain your method.
• Evaluate your outcome and the possible reasons that would explain those results.
• Project what the productivity might be for a crew size of five and explain your reasoning.

Crew Size Avg: Productivity per Crew

• 2: 3765 square meters per day
• 3: 4915 square meters per day
• 4: 6309 square meters per day

Directions:

• Your essay is required to be four to five pages in length, which does not include the title page and reference pages, which are never a part of the content minimum requirements.
• Support your submission with course material concepts, principles, and theories from the textbook and at least three scholarly, peer-reviewed journal articles. Use the Saudi Digital Library to find your resources.
• Use Saudi Electronic University academic writing standards and follow APA style guidelines.
• It is strongly encouraged that you submit all assignments into Turnitin prior to submitting them to your instructor for grading. If you are unsure how to submit an assignment into the Originality Check tool, review the Turnitin – Student Guide for step-by-step instructions.

Review the grading rubric to see how you will be graded for this assignment

ANSWER AND BRIEF EXPLANATION!!

Section (A):

In order to find the crew size that  has the best productivity per worker; then it is effective to divide the meters cleaned per day by the number of workers. The computation is provided below

2-man Crew Productivity = 3765 / 2 = 1,882.50

3-man Crew Productivity = 4915 / 3 = 1,638.33

4-man Crew Productivity = 6309 / 4 = 1,577.25

Based on the computations above the 2-man crew is the most productive. This team size maximizes the output per individual.

Section (B).

Based on the results, it is likely that crews larger than 2 impede productivity, because the workers are getting in each other’s way. Additionally, larger crews may exhibit a higher degree of socializing, which could detract from performance.

Section (C)

By increasing from 2 to 3 men, productivity declines by 12.97% (1,638.33/1,882.50 – 1 = .1297). By increasing from 3 to 4 men, productivity declines by 3.73% (1,577.25/1,638.33 – 1 = .0373). The decline in productivity seems to diminish as the crew count gets bigger, but this doesn’t seem logical. Perhaps, there are other underlying drivers at play. Since we lack a larger data set to study, let us take the average of the two productivity decline percentages as follows: (12.97% + 3.73%)/2 = 8.35%.

Using this data point, the projected productivity for a 5-man crew is below.

5-man Crew Productivity = 1,577.25 * (1 – .0835) = 1,445.55

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