day, a FedEx competitor processes approximately 70,000 shipments. Suppose that they use the same Service Quality Index as FedEx and identified the following numbers of errors during a five-day week (see the “FedEx: Measuring Service Performance” box): These values are hypothetical and do not reflect any real company’s actual performance. Complaints reopened: 125 Damaged packages: 18 International: 102 Invoice adjustments: 282 Late pickup stops: 209 Lost packages: 2 Missed proof of delivery: 26 Right date late: 751 Traces: 115 Wrong day late: 15 Compute the Service Quality Indicator by finding the weighted sum of errors as a percentage of total shipments.
day, a FedEx competitor processes approximately 70,000 shipments. Suppose that they use the same Service Quality Index as FedEx and identified the following numbers of errors during a five-day week (see the “FedEx: Measuring Service Performance” box): These values are hypothetical and do not reflect any real company’s actual performance. Complaints reopened: 125 Damaged packages: 18 International: 102 Invoice adjustments: 282 Late pickup stops: 209 Lost packages: 2 Missed proof of delivery: 26 Right date late: 751 Traces: 115 Wrong day late: 15 Compute the Service Quality Indicator by finding the weighted sum of errors as a percentage of total shipments.
Chapter1: An Overview Of Strategic Marketing
Section1.2: Dollar Shave Club: The Company For Men
Problem 1C
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day, a FedEx competitor processes approximately 70,000 shipments. Suppose that they use the same Service Quality Index as FedEx and identified the following numbers of errors during a five-day week (see the “FedEx: Measuring Service Performance” box): These values are hypothetical and do not reflect any real company’s actual performance. Complaints reopened: 125 Damaged packages: 18 International: 102 Invoice adjustments: 282 Late pickup stops: 209 Lost packages: 2 Missed proof of delivery: 26 Right date late: 751 Traces: 115 Wrong day late: 15 Compute the Service Quality Indicator by finding the weighted sum of errors as a percentage of total shipments.
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