Overview of planning and scheduling for enterprise-wide optimization of process industries

被引:12
|
作者
Grossmann, Ignacio [1 ]
Erdirik-Dogan, Muge [1 ]
Karuppiah, Ramkumar [1 ]
机构
[1] Carnegie Mellon Univ, Dept Chem Engn, Pittsburgh, PA 15213 USA
基金
美国安德鲁·梅隆基金会;
关键词
enterprise-wide optimization; planning; scheduling; batch processes; mixed-integer programming; process industries;
D O I
10.1524/auto.2008.0690
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Enterprise-wide optimization (EWO) is a new emerging area that lies at the interface of chemical engineering and operations research, and has become a major goal in the process industries due to the increasing pressures for remaining competitive in the global marketplace. EWO involves optimizing the operations of supply, production and distribution activities of a company to reduce costs and inventories. A major focus in EWO is the production optimization, which often requires the use of nonlinear process models. Major operational items include production planning, scheduling, real-time optimization and control. This paper provides an overview of major challenges in the development of deterministic and stochastic linear/non linear optimization models and algorithms for the optimization of entire supply chains that are involved in EWO problems. We specifically review two major challenges: (a) modeling of planning and scheduling, (b) multiscale optimization. We consider two major applications in batch scheduling and crude oil scheduling. We conclude with a brief discussion on future directions.
引用
收藏
页码:64 / 79
页数:16
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