MIT2_017JF09_p26

MIT2_017JF09_p26 - 26 MIN-MAX MULTI-OBJECTIVE OPTIMIZATION...

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26 MIN-MAX MULTI-OBJECTIVE OPTIMIZATION 85 26 Min-max Multi-Objective Optimization Select the best candidate solution below [A-F], based on min-max optimization. This exercise presents some of the considerations you might encounter in the purchase of a large machine, such as an engine. The objectives are to minimize weight and cost, while maximizing the other attributes. A high score in reputation means the company and product have a good reputation, and a high score in specification means that the product fits the application very well. Hence, candidate D has a terrific machine on paper for the application, but with a rather poor reputation relative to the others. Do you agree with what the min-max calculation finds? A B C D E F Weight (N) 1260 1190 1470 1540 952 1358 Cost (dollars) 24700 23920 28860 33800 24700 27300 Reputation (nom=1) 1.1 0.7 1.2 0.5 0.8 0.9 W a r r a n t y ( y e a r s ) 5 6 8 5 3 6 Efficiency (pct.) 0.51 0.52
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MIT2_017JF09_p26 - 26 MIN-MAX MULTI-OBJECTIVE OPTIMIZATION...

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