# Factors Affecting Productivity in Maduro Cleaning: An Operations Management Analysis

Words: 669
Pages: 3
Subject: Economics, Finance and Investment

# Factors Affecting Productivity in Maduro Cleaning: An Operations Management Analysis

## Introduction

Maduro Cleaning, a small cleaning services provider, faces challenges in determining reasonable job times for its crews. This assignment delves into the factors affecting productivity in the context of crew sizes, aiming to calculate and evaluate productivity per worker and project potential productivity for a crew size of five. To achieve this, we will analyze data on crew sizes, job times, and square meters cleaned per day.

Calculating Productivity per Worker: To calculate productivity per worker for each crew size, we divide the total square meters cleaned per day by the number of workers in each crew.

• For a crew size of 2: 3765 square meters / 2 workers = 1882.5 square meters per worker per day.
• For a crew size of 3: 4915 square meters / 3 workers = 1638.33 square meters per worker per day.
• For a crew size of 4: 6309 square meters / 4 workers = 1577.25 square meters per worker per day (Stevenson, 2021).

Methodology: The methodology used for calculating productivity per worker is straightforward and involves basic arithmetic. The formula is applicable to various industries where output and workforce are measurable. In this case, square meters cleaned per day serve as the output measure, and the number of workers represents the workforce.

Evaluation of Outcomes: The evaluation reveals that the crew size of 3 has the highest productivity per worker at 1638.33 square meters per day. This outcome might be explained by factors such as coordination, efficiency, and task allocation. Smaller crews might benefit from better coordination, while larger crews could face challenges in optimizing their efforts (Stevenson, 2021).

## Possible Reasons for Outcomes

1. Coordination: Smaller crews of 2 or 3 members may find it easier to coordinate tasks and work efficiently. They can communicate effectively and allocate responsibilities without the complexity of larger groups.
2. Task Allocation: In larger crews, it may be challenging to ensure each worker is consistently engaged in productive tasks. Some workers might be idle or less productive, impacting overall efficiency.
3. Efficiency: Smaller crews can adapt to job requirements more swiftly and efficiently. They may have a better understanding of each other’s strengths and weaknesses, allowing for optimized task assignment.

Projected Productivity for a Crew Size of 5: If we project productivity for a crew size of 5, we can estimate it using the same method:

• Estimated productivity for a crew size of 5 = Total square meters cleaned per day / 5 workers
• Estimated productivity = 6309 square meters / 5 workers = 1261.8 square meters per worker per day (Stevenson, 2021).

## Conclusion

In conclusion, calculating and evaluating productivity per worker is essential for optimizing cleaning services in Maduro Cleaning. The analysis suggests that a crew size of 3 currently demonstrates the highest productivity per worker. The factors affecting this outcome include coordination, task allocation, and efficiency. Projecting productivity for a crew size of 5 indicates an estimated value of 1261.8 square meters per worker per day. This analysis provides valuable insights into crew size optimization and productivity enhancement in cleaning operations.

## References

1. Stevenson, William J. (2021). Operations management (14th ed.). New York, NY: McGraw-Hill Irwin.

## FAQs

1. What prompted Maduro Cleaning to investigate crew productivity and job times?

• Maduro Cleaning’s owner initiated this investigation to improve efficiency and establish reasonable job times. Understanding crew productivity is crucial for effective operations.

2. Why is productivity per worker an essential metric for service-based businesses like Maduro Cleaning?

• Productivity per worker directly impacts profitability and customer satisfaction. It helps allocate resources efficiently and ensures competitive pricing.

3. What factors might explain the higher productivity per worker in smaller crews?

• Smaller crews benefit from improved coordination, streamlined task allocation, and enhanced efficiency. These factors contribute to higher productivity.

4. How can the findings of this analysis help Maduro Cleaning optimize its crew sizes and operations?

• The analysis provides insights into the most productive crew size and suggests potential improvements in task allocation and coordination, aiding in operational optimization.

5. What challenges might Maduro Cleaning face when implementing changes based on this analysis?

• Implementing changes in crew sizes and operations may require adjustments in workforce management, training, and client expectations. Identifying and addressing these challenges is essential.