Integrated Scheduling and Dynamic Optimization of Batch Processes Using State Equipment Networks Yisu Nie 1 Lorenz T. Biegler 1 John M. Wassick 2 1 Center for Advanced Process Decision-making Department of Chemical Engineering Carnegie Mellon University 2 The Dow Chemical Company October 13, 2011 Yisu Nie (Carnegie Mellon University) EWO meeting October 13, 2011 1/8
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Integrated Scheduling and Dynamic Optimization ofBatch Processes Using State Equipment Networks
Yisu Nie1 Lorenz T. Biegler1 John M. Wassick2
1Center for Advanced Process Decision-makingDepartment of Chemical Engineering
Carnegie Mellon University
2The Dow Chemical Company
October 13, 2011
Yisu Nie (Carnegie Mellon University) EWO meeting October 13, 2011 1 / 8
IntroductionBackground and motivation
The current status quo of batch scheduling and operationsI Batch process scheduling: recipe-based approaches
F Decoupled scheduling and unit operationsF Dow’s practice: Discrete-time resource-task network 1
+ Easy (linear) models for scheduling− Poor process flexibility− Loss of process profitability
I Dynamic optimization of batch operations: few experiencesF Investigated mostly in single machine environment
Integration of scheduling and dynamic optimizationI Adding value to existing assetsI Improving plant reliability
1J.M. Wassick and J. Ferrio. Extending the resource task network for industrial applications. Computers and Chemical
Engineering, 2011
Yisu Nie (Carnegie Mellon University) EWO meeting October 13, 2011 2 / 8
IntroductionBackground and motivation
The current status quo of batch scheduling and operationsI Batch process scheduling: recipe-based approaches
F Decoupled scheduling and unit operationsF Dow’s practice: Discrete-time resource-task network 1
+ Easy (linear) models for scheduling− Poor process flexibility− Loss of process profitability
I Dynamic optimization of batch operations: few experiencesF Investigated mostly in single machine environment
Integration of scheduling and dynamic optimizationI Adding value to existing assetsI Improving plant reliability
1J.M. Wassick and J. Ferrio. Extending the resource task network for industrial applications. Computers and Chemical
Engineering, 2011
Yisu Nie (Carnegie Mellon University) EWO meeting October 13, 2011 2 / 8
IntroductionBackground and motivation
The current status quo of batch scheduling and operationsI Batch process scheduling: recipe-based approaches
F Decoupled scheduling and unit operationsF Dow’s practice: Discrete-time resource-task network 1
+ Easy (linear) models for scheduling− Poor process flexibility− Loss of process profitability
I Dynamic optimization of batch operations: few experiencesF Investigated mostly in single machine environment
Integration of scheduling and dynamic optimizationI Adding value to existing assetsI Improving plant reliability
1J.M. Wassick and J. Ferrio. Extending the resource task network for industrial applications. Computers and Chemical
Engineering, 2011
Yisu Nie (Carnegie Mellon University) EWO meeting October 13, 2011 2 / 8
IntroductionProblem description
GivenI A batch plant with existing equipmentI A time horizon to make productsI Dynamic models of process operations
DetermineI The optimal production scheduleI The optimal equipment control strategy