This study focused on finding optimal procurement and production planning including corrosion effect. We developed the corrosion forecasting and cost model, which are combined in the procurement and production planning model. The corrosion cost model was presented to calculate cost depending on corrosion rate estimated by corrosion factors, which are H+, Cl-, H2S, and CO2. This study found the optimal results such as the optimal amount of crude to be purchased and optimal design. Several case studies are also included in this study to analyze and improve the optimization production planning model of petrochemical and refinery processes. Although the government regulation requires the operating cycle time as 4 years, this study reveals that the profit per day is increasing up to 5 years if the corrosion is considered. This result increases the net profit per day about 4.14% in a crude distillation unit (CDU) process with 120 000 barrels per day capacity.