In this article, the main subject is the problem of the location of Urban Distribution Centers (UDC) in an environment characterized by uncertainty. Thus, a decision support process based on fuzzy multi-criteria methods (F-MCDM) will be proposed as the solution. The CATWOE method is used for identifying the Stakeholders (PPs) concerned by the localization. Furthermore, direct interviews and the review of the literature help to enhance the decision criteria. The use of the F-SWARA method made it possible to weight the criteria by taking into consideration the opinion of the PPs. The F-ENTROPY method corrected the subjectivity of the weights given by the first method. The hybridization of the two is a first in the literature in this field and allows precise and realistic results. In the end, the different alternatives obtained by the F-VIKOR method are ranked. This approach was applied to the city of Casablanca, which is extremely impacted by the negative externalities of urban freight transport. The results of this study showed that zone four (AIN SBAA) is the best zone to implement the UDC in the city of Casablanca. The sensitivity analysis validated the robustness of the model.

In recent years, the range of sensing technologies has expanded rapidly, whereas sensors present many advantages including flexibility, low cost, easy deployment and so on. Therefore, WSN (Wireless Sensor Network) can play a vital role in the Industry 4.0 framework. This has led to a rapid expansion in smart factories and intelligent manufacturing systems. Integration intelligent network sensors in case of remote maintenance applications that link information technology solutions with condition-based maintenance have not been considered before, for that the proposed application will enable industrial manufacturing to implement condition-based maintenance for the health status of industrial equipment. The paper presents system architecture and hardware organization, explain the choice of sensors devices; as well as the identification of sensor configurations and network topologies; also the choice of the more appropriate platform based on the power consumption in a comparative way using Contiki software.