Advances and Applications in Statistics

Efficient production planning in Moroccan aerospace supply networks necessitates an exhaustive examination of uncertainties. These supply chains need help in achieving client deadlines due to the current operational landscape, which is fraught with uncertainty. This study fills that gap by presenting and validating a causal model for evaluating the application of uncertainty and risks in 41 Moroccan aerospace businesses. The study focuses on understanding the complex interaction between uncertainties, risks, and production planning methodologies in the aeronautical supply chain. All of the companies engaged in this study are from the Moroccan aeronautics sector, thereby allowing for a more in-depth look at this essential industry. The obtained data provide valuable insights, and the analysis, which was carried out using SPSS, shows a positive association between uncertainties, risks, and production planning components. In the end, this research contributes to a better knowledge of the elements impacting production planning dynamics in Morocco’s aeronautical supply chain. Received: July 18, 2024 Revised: August 19, 2024 Accepted: August 27, 2024