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过程工业不确定条件下的计划与调度优化

李祖奎,Marianthi Ierapetritou,薛美盛   

  1. Rutgers大学化学与生化工程系;中国科学技术大学自动化系
  • 出版日期:2009-07-05 发布日期:2009-07-05

Planning and scheduling under uncertainty in process industry

LI Zukui,Marianthi Ierapetritou,XUE Meisheng   

  1. Department of Chemical and Biochemical Engineering,Rutgers University,Piscataway;Department of Automation,University of Science and Technology of China
  • Online:2009-07-05 Published:2009-07-05

摘要: 过程工业的计划与调度优化是提高企业综合效益的有效途径,然而各种不确定因素的存在导致在确定性条件假设下得到的“最优”生产计划或调度次优或者不可实施。本文对当前过程工业不确定条件下计划与调度优化的研究进展进行了综述,并对系统建模和优化技术面临的挑战和下一步的发展趋势进行了分析。

Abstract: Planning and scheduling optimization plays an important role in process industry,however various uncertainties reduce the effectiveness of ‘optimal’ plan or schedule obtained through the deterministic model,which tend to be suboptimal or even infeasible in the uncertain environment. This paper reviews the state-of-the-art research of planning and scheduling under uncertainty in process industry. The challenge and development trend in this field are also presented.

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