TY - JOUR
T1 - From rescheduling to online scheduling
AU - Gupta, Dhruv
AU - Maravelias, Christos T.
AU - Wassick, John M.
N1 - Funding Information:
The authors would like to acknowledge support from the National Science Foundation under grants CMMI-1334933 and CBET-1264096, as well as the Petroleum Research Fund under grant 53313-ND9.
PY - 2016/12/1
Y1 - 2016/12/1
N2 - We first review advances in rescheduling, traditionally viewed as an approach to tackle uncertainty, including methods that rely on recourse through feedback as well as methods that account for uncertainty a priori. Then, we show that traditional event-triggered rescheduling has some shortcomings which can be addressed if rescheduling is approached as an online problem. We review methods that consider aspects of this online problem and define notation and some key features of this problem. Furthermore, we propose a broad framework for the classification of online scheduling methods. Finally, we discuss a number of open research questions, including the generation of high quality of closed-loop (implemented) schedules through the selection of appropriate model, horizon length, time-step, objective function modifications, and constraint addition.
AB - We first review advances in rescheduling, traditionally viewed as an approach to tackle uncertainty, including methods that rely on recourse through feedback as well as methods that account for uncertainty a priori. Then, we show that traditional event-triggered rescheduling has some shortcomings which can be addressed if rescheduling is approached as an online problem. We review methods that consider aspects of this online problem and define notation and some key features of this problem. Furthermore, we propose a broad framework for the classification of online scheduling methods. Finally, we discuss a number of open research questions, including the generation of high quality of closed-loop (implemented) schedules through the selection of appropriate model, horizon length, time-step, objective function modifications, and constraint addition.
KW - Chemical production scheduling
KW - Process uncertainty and disturbances
KW - Re-optimization
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U2 - 10.1016/j.cherd.2016.10.035
DO - 10.1016/j.cherd.2016.10.035
M3 - Article
AN - SCOPUS:85001119077
SN - 0263-8762
VL - 116
SP - 83
EP - 97
JO - Chemical Engineering Research and Design
JF - Chemical Engineering Research and Design
ER -