The work presented in this paper addresses the problem of control of unreliable and complex manufacturing systems. It includes policies to control production, quality and supplier’s selection. Generally, a quality control is carried out by sampling at the reception of the raw material. The risk that accepted materials contain a proportion of defective items is omnipresent, which generates disposal costs on finished products. In the case of rejected materials after sampling, they are returned to the supplier involving time and cost shortage, or inspected by a full control, generating time and additional cost. Our project is to develop a reactive model, which varies according to the inventory levels upstream and downstream of production, allowing us to find control policies that minimize the cost. First, a description of the system under study and solving approach will be presented, and a comparison between the 100% control policy and return to the supplier policy is made, followed by an analysis to highlight the parameters that make a policy better than the other. Then, a comparative study between these controls policies and a combination of both called hybrid is conducted to find out which is the most advantageous. Finally, we propose a new policy control combined with a strategy of supplier’s selection and we optimized its parameters to minimize the total cost incurred.
Given the complexity of issues considered, an experimental approach based on a combination of statistical methods of optimization and simulation tool is used to optimize the control parameters of each system studied. Simulation models are designed by combining discrete and continuous events, in order to modeled continuous flow, dynamic and stochastic nature of production system. The efficiency of the approach is verified by sensitivity analyzes.
| Date | 19 Sept 2014 |
|---|
| Original language | French |
|---|
| Awarding Institution | - École de technologie supérieure
|
|---|
| Supervisor | Ali Gharbi (Supervisor) |
|---|
Tolba, L. (Author),
Gharbi (Supervisor),
19 Sept 2014Student thesis: Master's thesis › Master in Engineering: Automated Manufacturing Engineering