化工学报 ›› 2011, Vol. 62 ›› Issue (8): 2157-2163.

• 过程系统工程 • 上一篇    下一篇

不确定条件下石化企业供应链计划优化

王继帅,荣冈,冯毅萍   

  1. 浙江大学智能系统与控制研究所,工业控制技术国家重点实验室,浙江 杭州 310027
  • 出版日期:2011-08-05 发布日期:2011-08-05

Optimization for petrochemical supply chain planning under uncertainty

WANG JishuaiRONG GangFENG Yiping   

  • Online:2011-08-05 Published:2011-08-05

摘要:

针对石化企业供应链计划层的不确定性,提出了一种多周期、多产品的计划优化模型。基于离散时间建模方法,利用模糊可能性方法将不确定性问题转化为确定性问题,建立了混合整数线性规划模型。同时采用模型预测控制思想,利用模型的动态属性为决策者提供了不同满意度下的决策序列。以某炼油企业供应链为实例,证明了本方法的有效性。

关键词: 供应链石化企业计划FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-ascii-t

Abstract:

A multi-period,multi-product planning optimization under uncertainty is discussed.Based on the discrete-time modeling method,a mixed integer linear programming(MILP)model,in which the nonlinear part is converted to linear problem using fuzzy possibility method is proposed.Meanwhile,the usefulness of MPC as a tactical decision policy is integrated to the model.The effectiveness of the proposed model is illustrated through a real world refinery supply chain.

Key words: 供应链石化企业计划FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-ascii-theme-font: minor-latin, mso-fareast-theme-font: minor-fareast, mso-fareast-font-family: 宋体, mso-hansi-font-family: 宋体" lang=EN-US>;FONT-SIZE: 9pt, mso-bidi-font-family: 宋体, mso-ansi-language: EN-US, mso-fareast-language: ZH-CN, mso-bidi-language: AR-SA, mso-ascii-t

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