TY - JOUR
T1 - A new continuous-time state task network formulation for short term scheduling of multipurpose batch plants
AU - Maravelias, Christos T.
AU - Grossmann, Ignacio E.
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2003
Y1 - 2003
N2 - A new continuous-time MILP model for the short-term scheduling of multipurpose batch plants is presented. The proposed model relies on the idea of the State Task Network (STN) and addresses the general problem of batch scheduling, accounting for resources other than equipment (utilities), variable batch sizes and processing times, various storage policies (UIS/FIS/NIS/ZW) and batch splitting/mixing. Compared to other general continuous STN formulations, the proposed model is more efficient. Compared to event-driven formulations, it often gives better solutions being equally fast. The application of the model is illustrated through an example problem.
AB - A new continuous-time MILP model for the short-term scheduling of multipurpose batch plants is presented. The proposed model relies on the idea of the State Task Network (STN) and addresses the general problem of batch scheduling, accounting for resources other than equipment (utilities), variable batch sizes and processing times, various storage policies (UIS/FIS/NIS/ZW) and batch splitting/mixing. Compared to other general continuous STN formulations, the proposed model is more efficient. Compared to event-driven formulations, it often gives better solutions being equally fast. The application of the model is illustrated through an example problem.
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U2 - 10.1016/S1570-7946(03)80117-7
DO - 10.1016/S1570-7946(03)80117-7
M3 - Article
AN - SCOPUS:67849090336
SN - 1570-7946
VL - 14
SP - 215
EP - 220
JO - Computer Aided Chemical Engineering
JF - Computer Aided Chemical Engineering
IS - C
ER -