| 需求不确定下炼油企业生产计划优化混合规划模型 |
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| 引用本文： | 李初福,何小荣,陈丙珍,XU Qiang,LIU Chaowei. 需求不确定下炼油企业生产计划优化混合规划模型[J]. 中国化学工程学报, 2008, 16(2): 241-246. DOI: 10.1016/S1004-9541(08)60070-1 |
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| 作者姓名： | 李初福 何小荣 陈丙珍 XU Qiang LIU Chaowei |
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| 作者单位： | 1. Department of Chemical Engineering, Tsinghua University, Beijing 100084, China;2. Department of Chemical Engineering, Lamar University, Beaumont 77710, USA |
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| 基金项目： | Supported by the Specialized Research Fund for Doctoral Program of Higher Education of China (20060003087). |
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| 摘 要： | Abstract 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 incorporating 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 effective to solve.the hybrid programming model, along with an error≤0.5% when the deviatiorgmean≤20%. The simulation results indicate that the hybrid programming model with an appropriate weight factor （0.1-0.2） can effectively improve the optimal operational strategies under demand uncertainty, achieving higher profit than the linear programming model and the stochastic programming one with about 1.3% and 0.4% enhancement, respectavely.
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| 关 键 词： | production planning demand uncertainty stochastic programming linear programming hybrid pro-gramming |
| 收稿时间： | 2007-05-08 |
| 修稿时间： | 2007-05-08 |
A hybrid programming model for optimal production planning under demand uncertainty in refinery |
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| LI Chufu,HE Xiaorong,CHEN Bingzhen,XU Qiang,LIU Chaowei. A hybrid programming model for optimal production planning under demand uncertainty in refinery[J]. Chinese Journal of Chemical Engineering, 2008, 16(2): 241-246. DOI: 10.1016/S1004-9541(08)60070-1 |
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| Authors: | LI Chufu HE Xiaorong CHEN Bingzhen XU Qiang LIU Chaowei |
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| Affiliation: | 1. Department of Chemical Engineering, Tsinghua University, Beijing 100084, China;2. Department of Chemical Engineering, Lamar University, Beaumont 77710, USA |
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| Abstract: | 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. |
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| Keywords: | production planning demand uncertainty stochastic programming linear programming hybrid programming |
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