Optimization of Chemical Production : A Case Study
Résumé
The present paper considers the problem of selecting a set of high representative laboratory experiments among an important number of already executed ones, to build a model which can be used to guide the production efficiency maximization of a biochemical production process. This problem was identified in the context of the research for an efficiency system production of a biochemical product. The main idea is to take, from a large number of realized laboratory experiments, the most representative data to model the system with a mathematical formulation. It must include the more influent factors on the production efficiency. This model can be taken to identifies a theoretical near optimal production conditions in order to maximize the production efficiency. Experimental data are obtained from several experiments that were conducted on the research laboratory. Data are accrued historically since the research was concentrated on the efficiency increasing, but never a global analysis has been performed for this real case. The conducted experiments were not orthogonally designed. To select the experiments, given the fact that the system can be altered by many factors, a metaheuristic method was employed.