Abstract
In earlier work we have developed and tested a scheduling model [1] in the AIMMS software. In this follow-up contribution we will develop a planning model. Next we will identify the information flow between scheduling model and the planning model. Lastly we will integrate the two models in a straight-forward fashion using run-modes and rolling-horizon methodology. With a case study we prove that the overall strategy aids systematic integration of the two levels, which allows fast optimization of the short-term as well as the long-term decisions without significantly affecting the quality of the solution.
Original language | English |
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Pages (from-to) | 925-929 |
Journal | Computer Aided Chemical Engineering |
Volume | 29 |
DOIs | |
Publication status | Published - 2011 |
Externally published | Yes |