In earlier work we have developed and tested a scheduling model  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.
|Journal||Computer Aided Chemical Engineering|
|Publication status||Published - 2011|