Application of Post-Optimality Analysis in Process Engineering
نویسنده
چکیده
The main objective of optimizing any chemical process is to find the best operation conditions that can maximize the production of the most valuable products and minimize operating costs with respecting the operational and environmental constraints. Uncertainty or variations in some parameters such as demand and supply of each processing unit or product prices can seriously affect the optimization results and lead to inefficient operation. Many techniques of stochastic programming were proposed to handle the effect of variations in process parameters in order to determine a robust operation conditions; however, applications of post-optimality analysis has received less attention especially in process engineering. This work discusses the important of post-optimality analysis and shows how it can be used to investigate the effect of such variations on the optimal solution of a petrochemical complex that is formulated as a LP model. The general objective of this study is to try to bridge the gap between the theory and practice of the post-optimality analysis in process engineering. This work attempts to use a modified method of post-optimality analysis that jointly use sensitivity relations and stability region calculations to provide the decision maker in petrochemical complex with valuable and easy-to-use information that help in handling the effect of variation in some process parameters. The results of this study can help the decision maker to identify sensitive parameters that need accurate estimate or intensive monitoring.
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