Abstract
An algorithm is presented for identifying the projection of a scheduling model's feasible region onto the space of production targets. The projected feasible region is expressed using one of two mixed-integer programming formulations, which can be readily used to address integrated production planning and scheduling problems that were previously intractable. Production planning is solved in combination with a surrogate model representing the region of feasible production amounts to provide optimum production targets, while a detailed scheduling is solved in a rolling-horizon manner to define feasible schedules for meeting these targets. The proposed framework provides solutions of higher quality and yields tighter bounds than previously proposed approaches.
Original language | English (US) |
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Pages (from-to) | 2614-2630 |
Number of pages | 17 |
Journal | AIChE Journal |
Volume | 55 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2009 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Biotechnology
- Environmental Engineering
- General Chemical Engineering
Keywords
- Mixed-integer programming
- Production planning
- Projection
- Scheduling