Optimization problems in design and engineering often involve multiple conflicting objectives, and their solution requires multi-objective optimization (MOO). The solution of MOO problems is a set of equally good optimal solutions, known as Pareto-optimal solutions (front). One more critical step is therefore required to choose one solution from the Pareto-optimal front, for implementation; this step is known as multi-criteria decision-making (MCDM). In this chapter, MCDM procedure, 4 normalization methods, 4 weighting methods and 5 MCDM methods are described. Then, MS Excel program, developed by our group, for these chosen methods is presented. Finally, several MCDM applications involving product and system design are used to demonstrate the applicability and effectiveness of the MS Excel program and the selected MCDM methods.
