摘要
针对市场需求等不确定因素的影响,考虑到炼厂生产调度过程中能耗和库存的约束要求等实际情况,应用供应链管理思想,建立炼厂生产与库存非线性规划优化模型;为使目标函数即炼厂的利润最大或是成本最小,对决策变量为各装置产品的产量进行优化排产;考虑到这类复杂系统的优化模型中,存在约束条件相互制约而导致无解的情况,采用最小二乘法求解,得到最符合各个约束条件的妥协解。
In view of uncertainties of need and demand and other factors of the market and the refinery production scheduling process with the energy consumption and inventory requirements of the actual situation, the supply chain management idea is applied to establish the nonlinear programming optimization model of the refinery production. In order to obtain maximum profits or minimize the cost of the objective function, the decision variables for each device production scheduling must be optimized. In the optimization model of such complex systems, there exist mutual constraints, which may lead to no solution. In this paper, the compromise optimal solution is obtained by transforming the model to nonlinear programming and solving it by the least square method. An example proves the validity of this model.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2009年第11期1740-1743,1759,共5页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(60974039)
关键词
不确定市场
生产与库存调度优化
模糊妥协规划
最小二乘法
uncertain market
production-inventory optimization
fuzzy compromise solving
leastsquare method
