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Question
each day, a fedex competitor processes approximately 65,000 shipments. suppose that they use the same service quality index as fedex and identified the following number of errors during a 5-day week (see the \fedex: measuring service performance\ box). these values are hypothetical and do not reflect any real company’s actual performance.
| description | weight | number of errors |
|---|---|---|
| damaged packages | 10 | 20 |
| international | 1 | 103 |
| invoice adjustments | 1 | 286 |
| late pickup stops | 3 | 204 |
| lost packages | 10 | 1 |
| missed proof of delivery | 1 | 26 |
| right date late | 1 | 747 |
| traces | 3 | 110 |
| wrong day late | 5 | 20 |
compute the service quality indicator by finding the weighted sum of errors as a percentage of total shipments. do not round intermediate calculations. round your answer to three decimal places.
service quality indicator (sqi): %
Step1: Calculate weighted errors for each category
For each row, multiply Weight by Number of Errors:
- Complaints reopened: $3\times145 = 435$
- Damaged packages: $10\times20 = 200$
- International: $1\times103 = 103$
- Invoice adjustments: $1\times286 = 286$
- Late pickup stops: $3\times204 = 612$
- Lost packages: $10\times1 = 10$
- Missed proof of delivery: $1\times26 = 26$
- Right date late: $1\times747 = 747$
- Traces: $3\times110 = 330$
- Wrong day late: $5\times20 = 100$
Step2: Sum all weighted errors
Add all the weighted errors: $435 + 200 + 103 + 286 + 612 + 10 + 26 + 747 + 330 + 100 = 2849$
Step3: Calculate total shipments for 5 days
Daily shipments: 65,000, so 5 - day total: $65000\times5 = 325000$
Step4: Compute SQI as (weighted sum / total shipments) × 100
$SQI=\frac{2849}{325000}\times100$
Calculate $\frac{2849}{325000}=0.00876615\cdots$
Multiply by 100: $0.00876615\cdots\times100 = 0.876615\cdots$
Step5: Round to three decimal places
Rounded value: $0.877$
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$0.877$