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为优化化工企业生产计划,本文建立了化工过程生产计划优化的混合整数非线性规划(mixed integer nonlinear program- ming)模型,并给出相应的迭代求解算法,实际应用表明该算法可以有效的求解模型。应用该MINLP模型和求解算法,在石化企业生产计划图形建模优化系统(graphic I/O petrochemical industry modeling system,GIOPIMS)已经成功开发和实施的基础上,针对化工企业的特点,重新开发出适合化工企业使用的生产计划图形建模优化系统(graphic I/O chemical industry modeling system,GIOCIMS)。GIOCIMS的实施表明,该系统在化工企业中间产品外购或自产,中间产品外销或深加工,工艺路线选择和装置负荷等优化方面发挥了重要作用,获得显著的经济效益?。
In order to optimize the production planning of chemical enterprises, a mixed integer nonlinear programming model of chemical process production planning is established and a corresponding iterative solution algorithm is given. The practical application shows that the algorithm can effectively solve the model . Applying the MINLP model and solving algorithm, based on the successful development and implementation of GIOPIMS (graphic I / O petrochemical industry modeling system) in petroleum enterprises, the chemical industry A production planning graphic modeling and optimization system used by enterprises (GIOCIMS). The implementation of GIOCIMS shows that the system has played an important role in the optimization of outsourcing or self-production of intermediate products in chemical industry, the export or deep processing of intermediate products, the selection of process routes and the loading of equipment, and has obtained significant economic benefits.