The paper presents the second part a study conducted on multi-criteria optimization of electromechanical modules. This part focuses on the use of RAZOR method, which is a multi-criteria optimization outranking method, based on the so-called Z-score in statistics. The conducted study is motivated by understanding the fact that the task for designing such modules, as well as the task for selecting an existing module for a given application are multivariate. This leads to the need for implementing optimization based decision-making on specified criteria. The used method offers a new approach to solving multicriteria optimization tasks and provides another tool to facilitate the decision-making process.

The paper presents a comparative assessment of the procedures for applying two outranking methods in solving multi-criteria optimization tasks. The conducted study compares the fundamental PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluations) method, which is widely proposed to support selection of the best compromise alternative in multi-criteria tasks, with the newly developed RAZOR (Ranking of Alternatives by Z-score Operation Ratings) method. The paper describes the ranking methods and provides demonstrative numerical examples for existing electromechanical modules. The results of the numerical examples from the conducted multi-criteria optimization on a number of given criteria are presented. The study demonstrated that the calculation procedure in PROMETHEE method demands certain level of preliminary knowledge, but provides fine setting of preferences by the decision-maker. The RAZOR method, on the other hand, demands no preliminary knowledge and it is easier to visualize graphically.

The paper presents a study conducted to make multi-criteria optimization of electromechanical modules with a goal of providing easier tools for decision-making involving complex decision parameters. The work is motivated upon understanding that the task of both designing electromechanical modules and selecting an appropriate electromechanical drive for concrete application are multivariate. This leads to the need for performing an optimization of the selected electromechanical modules. The work reported in the paper focuses on use of one of the methods in the area, i.e. PROMETHEE method, which has shown good results to find compromise solution of decisionmaking task under conflicting parameters.