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Published January 1, 1970 | public
Journal Article

Optimization with Multiple Performance Criteria. Application to Minimization of Parameter Sensitivlties in a Refinery Model


In complex optimization problems there often exist several noncomparable performance criteria which a designer must consider. This situation is formulated as a vector maximum problem, for which the available theory on proper efficient solutions is outlined. A practical scheme is proposed for problems in which the criteria can be ranked in order of importance. A simplified refinery model is formulated in which it is desired to maximize total yearly profit as well as minimize the sensitivity of the profit to variations in refinery conditions. Detailed nonlinear programming results are presented.

Additional Information

© 1970 American Chemical Society. Acknowledgment is made to the donors of the Petroleum Research Fund, administered by the American Chemical Society, for partial support of this work.

Additional details

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October 18, 2023