Selecting MCDM Criteria for Machining Center Ranking Decisions Using Design of Experiments and TOPSIS Approaches

Selecting MCDM Criteria for Machining Center Ranking Decisions Using Design of Experiments and TOPSIS Approaches

연구 분야: Verification

학회: International Conference on Science, Engineering Management and Information Technology

Machining Centers (MC) is widely used in today’s advanced machining industries such as aerospace and automotive. In the market, there is a huge number of MC models are sold. For a manufacturing firm, especially in the SMEs segment, the MC selection process is a difficult task for this reason. The main question arises from the MC selection problem “Which factor is crucial for the selection decision?” Multi-Criteria Decision Making models are widely used for MC selection problems. However, the correct determination of the criteria to be used in the selection process is very important for the ranking results. In this study, experiments are formed with experiments as rows and selection criteria as columns in a design of experiments structure. The TOPSIS approach provides machining centers’ rating scores with different weight values for each experiment. With the application of the ANOVA approach, the statistically significant criteria on the ranking results are then determined to use in the machining center selection problems. We proposed a new procedure that is crucial to selecting the most suitable MC for identified machining tasks.