This paper proposes a model of performance indicators for Moroccan Textile industry subcontractors. First, the study reports, through a PMQ questionnaire, the KPIs used and deemed relevant by a sample of 82 companies. Second, the weight and hierarchy of various indicators are developed using Analytical Hierarchy Process (AHP) to release a formula for calculating the overall performance. The study shows that outsourcers and Moroccan manufacturers consider compliance with the schedule and the competence and versatility of the production system as a priority. The formula for calculating the overall performance also includes other dimensions such as quality and human resource development. This should facilitate the selection of the contractor and make it more objective.
This research aims to develop a Performance Measurement model for Moroccan automotive suppliers. The study is done in two steps: First, it derives Key Performance Indicators (KPI) from the Performance Measurement Questionnaire (PMQ) and matches their weights by the Analytical Hierarchy Process (AHP). Then, the latter two are applied to build an overall performance formula for these companies. The findings of this work show that the Moroccan automotive suppliers consider the efficiency of the production system and the development of the Human skills as the foremost priority. Also, the global performance formula integrated others dimensions such as safety at work and favorable social climate. This finding should integrate strategies and policies for the decision makers in the Moroccan automotive sector.
The performance measurement systems (PMS) in the industry are defined in terms of various measures to be combined for global performance. The proposed approach treats with a qualitative approach for multicriteria decision with the improvement strategy of an overall industrial performance. The approach is based on a AHP and Sugeno integral aggregation operator, permits to express the global performance, according to the fuzzy set theory of appropriate Key Performance Indicators (KPI), the nonlinearity of this model, makes data ambiguous in the process of multicriteria decision-making.Hence, this manuscript is a contribution to the selection of the strategy of the improvement of the overall performance. The approach applies to the Moroccan Automotive Suppliers to evaluate three strategies alternatives by using a fuzzy Sugeno Integral technique to deal with the complex interrelationships aspects between KPI.
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