To help the pizza shop manager schedule enough drivers for the upcoming week based on last week's delivery counts, we can analyze the recorded delivery numbers:
Recorded Deliveries:
- Day 1: 38 deliveries
- Day 2: 54 deliveries
- Day 3: 44 deliveries
- Day 4: 61 deliveries
- Day 5: 97 deliveries
- Day 6: 103 deliveries
- Day 7: 124 deliveries
Analysis:
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Total Deliveries: To find the total deliveries for the week, we sum the daily deliveries. \[ \text{Total Deliveries} = 38 + 54 + 44 + 61 + 97 + 103 + 124 = 421 \]
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Average Deliveries per Day: To calculate the average number of deliveries per day, we divide the total deliveries by the number of days (7 in this case). \[ \text{Average Deliveries} = \frac{\text{Total Deliveries}}{7} = \frac{421}{7} \approx 60.14 \]
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Maximum Deliveries in a Day: The maximum number of deliveries occurred on Day 7, which was 124 deliveries.
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Minimum Deliveries in a Day: The minimum was on Day 1, which was 38 deliveries.
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Suggestions for Driver Scheduling:
- It's important to schedule enough drivers to handle peak delivery days. On Day 7, a plan should be in place for at least 124 drivers (or enough drivers to manage the workload effectively).
- On average, having a number of drivers equal to the average daily deliveries (around 60) would help cover most days effectively.
- It might also be wise to prepare for busy days (e.g., weekends) by considering more drivers than the average, particularly for days that historically had higher deliveries.
Conclusion:
- Recommended driver allocation could be structured around 60 drivers as a baseline, with additional drivers reserved for busy days, particularly expecting higher volumes based on the trend observed last week.
Consideration should also be given to any special events, promotions, or local happenings that may affect delivery numbers in the coming week. Adjust the drivers accordingly based on predictions and historical data.
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