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Dynamic models and fault diagnosis‐based triggers for closed‐loop scheduling
Author(s) -
Touretzky Cara R.,
Harjunkoski Iiro,
Baldea Michael
Publication year - 2017
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15564
Subject(s) - scheduling (production processes) , computer science , dynamic priority scheduling , process (computing) , fault detection and isolation , embedding , key (lock) , two level scheduling , work in process , process control , industrial engineering , distributed computing , engineering , actuator , operations management , artificial intelligence , computer security , schedule , operating system
Establishing an explicit feedback connection between production management and process control decisions is a key requirement for more nimble and cost effective process operations in today's variable market conditions. Past research efforts focused on embedding dynamic process information in the production scheduling problem. In this article, we propose a novel framework for closing the scheduling loop, based on considering the process‐level events and disturbances that impact the implementation of scheduling decisions. We emphasize the role of a comprehensive fault detection, isolation and reconstruction mechanism as a trigger for rescheduling decisions and for reflecting the process capabilities altered by these events in the rescheduling problem formulation. Our framework is agnostic to the process type, and we present two (continuous process, sequential batch process) case studies to demonstrate its applicability. © 2016 American Institute of Chemical Engineers AIChE J , 63: 1959–1973, 2017