THE APPLICATION OF ENTROPY-ROV METHODS TO FORMULATE GLOBAL PERFORMANCE FOR SELECTING THE AUTOMOTIVE SUPPLIERS IN MOROCCO

摘要

In Morocco, the automotive sector is constantly improving because it occupies an important place in the Moroccan economy; this is why our research will be in this context in order to bring added value in term scientist. The study we are conducting proposes, firstly, the selection of best AKPI: Appropriate Key Performance Indicators in an objective and utilitarian way, by the application of the combined method ENTROPY-ROV (Range of Value) in the Moroccan automotive sector, and then realize the formula of Global Performance. Secondly, this one will be used to select the best supplier in the Moroccan industrial automotive sector. Furthermore, the results obtained by the application of Entropy-ROV shows that the highest weight among the AKPIs are Machine Availability and the Number of Occupational Injuries, which respectively correspond to the key factors of success: Efficiency of Production Systems and Health and Safety: which requires improvement on the part of Moroccan companies in automotive sector. We also find that the calculation of Global Performance for suppliers shows, that the best supplier is the supplier2 which ranks first among the others. In addition when we compare the results obtained concerning the priority of the AKPIs and the choice of suppliers by the Entropy-ROV method in our research, to that of Chahid et al [28], who used the AHP method, we note that they are not the same. Finally, our contribution is to use for the first time, a scientific, quantitative and mathematical multi-criteria evaluation method called ENTROPY-ROV, which is a combined method, in the automotive industry in Morocco in order to select the best key success factors and to evaluate the suppliers in an objective and utilitarian way.