Integrated production scheduling and process control: A systematic review

被引：176

作者：

Baldea, Michael ^{[1
]}

Harjunkoski, Iiro ^{[2
]}

机构：

[1] Univ Texas Austin, McKetta Dept Chem Engn, Austin, TX 78712 USA

[2] Corp Res Germany, ABB AG, D-68526 Ladenburg, Germany

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2014年 / 71卷

关键词：

Production scheduling; Process control; Integrated scheduling and control; MODEL-PREDICTIVE CONTROL; OPTIMAL GRADE TRANSITION; OUTPUT-FEEDBACK CONTROL; DYNAMIC OPTIMIZATION; FRAMEWORK; DEMAND; DESIGN; TIME; OPPORTUNITIES; OPERATIONS;

D O I：

10.1016/j.compchemeng.2014.09.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Production scheduling and process control have the common aim of identifying (economically) optimal operational decisions, and it is reasonable to expect that significant economic benefits can be derived from their integration. Yet, the scheduling and control fields have evolved quite independently of each other, and efforts aimed at integrating these two decision-making activities are quite recent. In this paper, we review progress made thus far in this direction. We identify key elements of control and scheduling, and carry out a systematic investigation of their use as building blocks for the formulation and solution of the integrated scheduling/control problem. On the basis of our review, we define several necessary directions for future development as well as a complement of promising applications. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：377 / 390

页数：14

共 87 条

[1] Mixed-integer dynamic optimization I: problem formulation
Allgor, RJ
Barton, PI
[J]. COMPUTERS & CHEMICAL ENGINEERING, 1999, 23 (4-5) : 567 - 584
[2] Economic optimization using model predictive control with a terminal cost
Amrit, Rishi
Rawlings, James B.
Angeli, David
[J]. ANNUAL REVIEWS IN CONTROL, 2011, 35 (02) : 178 - 186
[3] Baldea M, 2013, INT J ROBUST NONLIN
[4] Baldea M, 2012, DYNAMICS AND NONLINE
[5] Nonlinear model predictive control of energy-integrated process systems
Baldea, Michael
Touretzky, Cara R.
[J]. SYSTEMS & CONTROL LETTERS, 2013, 62 (09) : 723 - 731
[6] The explicit linear quadratic regulator for constrained systems
Bemporad, A
Morari, M
Dua, V
Pistikopoulos, EN
[J]. AUTOMATICA, 2002, 38 (01) : 3 - 20
[7] Bemporad A., 2000, Computer Aided Chemical Engineering, V8, P301
[8] Dynamic optimization in the design and scheduling of multiproduct batch plants
Bhatia, T
Biegler, LT
[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1996, 35 (07) : 2234 - 2246
[9] Large-scale nonlinear programming using IPOPT: An integrating framework for enterprise-wide dynamic optimization
Biegler, L. T.
Zavala, V. M.
[J]. COMPUTERS & CHEMICAL ENGINEERING, 2009, 33 (03) : 575 - 582
[10] Cao Y, 2014, J PROC CONTR

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