Özet:

Manufacturing enterprises give importance to determining machine performances in order to manage their operations and prioritize improvement activities. Overall Equipment Efficiency (OEE) is a tool that is frequently used by production managers to examine machine performances and is calculated by considering performance, quality and availability values. However, there are many different criteria that affect the performance of the machines. In this case, a multi-criteria decision-making (MCDM) approach is appropriate for handling machine performance values. The Preference Selection Index (PSI) is a MCDM method that is used for the evaluation of alternatives while weighting the criteria determined. This study was carried out to purpose of using the PSI method to generate the performance index of the machines. In addition to factors used in OEE calculation, MCDM problem with multiple criteria that supported by the literature was developed. The performance ranking of the machines was performed by PSI method with these criteria. The findings of this study suggest that when the more criteria are included in the studies for performance evaluation, the differences in the value of the results can be seen in the closer range and sensitivity. So, it would be useful to implement models that consider different criteria from OEE for machine performance evaluation.

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