Methodology for Selecting Scenarios in Improvement Process with Multiple Performance Measures.

The Research group in Acquisition and representation of knowledge through expert systems and simulation "ARCOSES" (for its acronym in Spanish) developed a hybrid methodology composed of several techniques of Industrial Engineering to select the best scenario in a simulation process when there are multiple performance measures. This situation is typically presented in case of business improvement processes, where is necessary to balance different performance measures and in some cases, these are possibly in conflict. When these cases of multiple performance measures occur, it is possible to use different techniques such as design of experiments (DOE), simulation optimization (SO), meta models (MM) or the response surface methodology (MSR). These consist of a set of mathematical and statistical tools; their goal is to select the best solution. However, it has been found that these techniques can be difficult to implement because the analyst or decision-maker does not always have the mathematical bases or enough time for their execution. Therefore, a methodological proposal was developed, presented an implemented in a case of processes of improvement where the best solution is calculated through a standardized homogeneous rating based on the different goals to be achieved.