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《中国化学工程学报(英文版)》 2008-02
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A Hybrid Programming Model for Optimal Production Planning under Demand Uncertainty in Refinery

LI Chufu1 ,HE Xiaorong 1,,CHEN Bingzhen1 ,XU Qiang 2 and LIU Chaowei 2 1Department of Chemical Engineering,Tsinghua University,Beijing 100084,China 2 Department of Chemical Engineering,Lamar University,Beaumont 77710,USA  
Production planning under uncertainty is considered as one of the most important problems in plant-wide optimization.In this article,first,a stochastic programming model with uniform distribution assumption is developed for refinery production planning under demand uncertainty,and then a hybrid programming model in- corporating the linear programming model with the stochastic programming one by a weight factor is proposed. Subsequently,piecewise linear approximation functions are derived and applied to solve the hybrid programming model under uniform distribution assumption.Case studies show that the linear approximation algorithm is effec- tive to solve the hybrid programming model,along with an error≤0.5%when the deviation/mean≤20%.The simulation results indicate that the hybrid programming model with an appropriate weight factor(0.1-0.2)can ef- fectively improve the optimal operational strategies under demand uncertainty,achieving higher profit than the lin- ear programming model and the stochastic programming one with about 1.5%and 0.4%enhancement,respectively.
【Fund】: the Specialized Research Fund for Doctoral Program of Higher Education of China(20060003087)
【CateGory Index】: TQ018
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