Rezaie - Department Of Industrial Engineering, University Of Tehran
Ebrahimipour - Department Of Industrial Engineering, University Of Tehran
Dehghanbaghi - Department Of Industrial Engineering, University Of Tehran

The main objective of this study is to develop an integrated approach for evaluation of manufacturing systems based on dependability indicators for conducting a better dependability management system(DMS) through utilizing pair wise comparison of the analytic hierarchy process ( AHP) method and integration of the principal component analysis (PCA) and the data envelopment analysis (DEA). To achieve the objective of this study, an industrial sector: chemicals and chemical products in Iran, is selected as the case of this study in accordance with the International standard for industrial classification of all economic activities (ISIC). Firstly, we define dependability indicators based on IEC 60300. Due to The extra amount of indicators, we utilize the hierarchy structure to cluster the indicators for an easier analysis. Secondly, for reducing the number of some variables, we apply the pair wise comparison of the AHP to assign the weights and unifying the related sub criteria to one main criterion. Finally, DEA - PCA is employed to assess the manufacturing systems’ ability through dependability view and to determine the efficient and inefficient units.

Data envelopment analysis, principal component analysis, dependability