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The decision in this problem rests on two dimensions: cost and delivery timeline. Whereas the FFs can be immediately compared based on their cost submissions
The decision in this problem rests on two dimensions: cost and delivery timeline. Whereas the FFs can be immediately compared based on their cost submissions (see the table below). This is not the case for the delivery timeline, which is linked to transit days and on-time performance (OTP) statistics. Using the sample data for Brunei, how would you devise an objective way of identifying which FF is best on the delivery timeline dimension?
Cost (S$) | Transit Days | OTP (%) | |||||||
Country | FF1 | FF2 | FF3 | FF1 | FF2 | FF3 | FF1 | FF2 | FF3 |
Brunei | 7,511 | 8,328 | 7,600 | 2 | 1 | 2 | 0.95 | 0.89 | 0.92 |
Cambodia | 675 | 4 | 0.67 | ||||||
Indonesia | 9,174 | 9,239 | 8,636 | 3 | 4 | 5 | 0.88 | 0.96 | 0.95 |
Laos | 990 | 1,115 | 5 | 5 | 0.77 | 0.85 | |||
Malaysia | 6,577 | 6,978 | 6,830 | 2 | 2 | 2 | 0.93 | 0.95 | 0.97 |
Myanmar | 1,490 | 1,920 | 1,355 | 4 | 3 | 4 | 0.7 | 0.86 | 0.74 |
Philippines | 2,349 | 2,179 | 2,108 | 2 | 3 | 3 | 0.9 | 0.87 | 0.82 |
Singapore | 338 | 356 | 362 | 1 | 1 | 1 | 1 | 1 | 1 |
Thailand | 5,618 | 5,999 | 5,175 | 3 | 2 | 4 | 0.95 | 0.91 | 0.97 |
Vietnam | 3,560 | 3,975 | 4,100 | 5 | 3 | 4 | 0.98 | 0.83 | 0.94 |
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