ENGINEER 1P03 Lecture Notes - Lecture 9: Pareto Efficiency, Decision Matrix

• School: McMaster University
• Department: Engineering (General)
• Course: ENGINEER 1P03
• Professor: Robert Fleisig

Document Summary

Client does not set constraints because they provide you with the idea they want. The engineer is to decide the constraints and set the requirements for himself. Sometimes you deliver to a need, not exactly what the client wants. A metric should actually measure the objective the the design is supposed to meet . You must select appropriate units and the correct scale or level of precision. Use understandable units of measures ensure unambiguous interpretation of results. When there are no obvious measures appropriate to the objective of interest. Different kinds of scales for testing and evaluating designs in the field of product design. Nominal scales, ordinal scales, ratio scales, interval scales, multidimensional scales or index number. With several feasible designs with need to choose the preferred design. A design is pareto optimal if it is superior in one or more dimension and at least equal in all others.