No abstract

The big challenge for each company is the implementation of an appropriate risk management strategy. Through this work, we seek to draw up an inventory of Moroccan companies supply chain. The objective is to identify the main risks, their relationship with the performance of the supply chain and to establish an overview of the risk management systems. For this reason, a research model was developed and concretized by quantitative data collected from 29 Moroccan companies. The analysis of the data show that the performance of the supply chain is strongly influenced by the importance of supply chain risk in particular the supplier and demand risks, and leads to insist on the importance of integrating a device adapted to the management of these Risks, especially in the upstream part of the supply chain.

Faced with the dynamic demands of a changing market, companies are facing fierce competition, which forces them to consider more and more new approaches to improve quality, reduce costs, produce on time, control their risks and remain successful in the face of any disruption. It is clear that the choice of appropriate suppliers is one of the key factors in increasing the competitiveness of companies. Thus, suppliers selection has a very important impact on the control of risks throughout the supply chain and on increase of its performance. Therefore, it is important for managers to realize the long-term impact of their supplier selection strategies on the benefits and effective functioning of the organization. To minimize supply and demand risks, this work presents a generic supplier selection model based on artificial neural networks (ANNs) to help manufacturers to choose the most efficient suppliers and monitor their performance. The results showed that ANNs are very well adapted to our problem since they have provided a very considerable efficiency in terms of the results obtained. Indeed, the application of the ANN will avoid the difficulty of desiging an algorithm to solve our problem, it is through the expertise of the managers in the purchasing department that our ANN will learn to be efficient and serve as a tool to help a decision makers to choose the best suppliers.

Because of the differences between industries and firms, the following work aims to perform an empirical analysis to investigate the relationship between firm characteristics and the sources of demand and supply risks. The survey is conducted among 32 factories in Moroccan industry from different sectors. In order to distinguish companies with a high level of risk, factories are grouped according to their characteristics, namely the business sector, the number of suppliers, the level of performance and the number of employees. To ensure the objective of our study, we performed a factorial correspondence analysis of the data using SPSS software.