关键词: 成品油调和, 生产库存计划, 遗传算法, 炼油工业

Abstract: Product oil blending is an important step for oil refining, which directly affects the economic benefits of oil refineries. Using petrochemical industry as background, this paper does a research on the optimization of the recipe for product oil blending. A mixed-integer programming model is developed to minimize the total production cost of the refinery on the condition that product quality indexes are satisfied, and an efficient solving strategy based on genetic algorithm is proposed. Then a simulation experiment is made according to the actual production data of an oil refinery and the balance relationship between the inventory cost and the setup cost is showed bycomputational results. To be specific, the total inventory cost increases and the number of setups decreases, when the unit inventory cost remaines constant and the unit setup cost increases. Conversely, the number of setups increases and the total inventory cost decreases, when the unit setup cost remaines constant and the unit inventory cost increases.

Key words: product oil blending, production-inventory planning, genetic algorithm, refinery industry