@inbook{77d2da91b0094177a80daf431716f1be,
title = "A General Mixed-Integer Programming State-Space Model for Online Scheduling",
abstract = "We present a framework and a generalized state-space model formulation that allows modeling several features that are necessary when a scheduling model is used in an online setting. These features are: (1) task-delays and unit breakdowns (2) robust scheduling through the use of conservative yield estimates and processing times; (3) feedback on task-yield estimates before the task finishes; (4) task termination during its execution; and (5) unit capacity degradation and maintenance. Further, we propose a systematic scheme for updating the state of the process, as well as ability to modify states through disturbance parameters, based on feedback information.",
keywords = "bio-manufacturing, model predictive control, rescheduling, uncertainty",
author = "Dhruv Gupta and Maravelias, {Christos T.}",
note = "Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",
year = "2018",
month = jan,
day = "1",
doi = "10.1016/B978-0-444-64241-7.50215-9",
language = "English (US)",
series = "Computer Aided Chemical Engineering",
publisher = "Elsevier B.V.",
pages = "1321--1326",
booktitle = "Computer Aided Chemical Engineering",
}