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Title: An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations

Authors:
; ; ;
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1549167
Grant/Contract Number:  
OE0000841
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Computers and Chemical Engineering
Additional Journal Information:
Journal Name: Computers and Chemical Engineering Journal Volume: 110 Journal Issue: C; Journal ID: ISSN 0098-1354
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Kelley, Morgan T., Pattison, Richard C., Baldick, Ross, and Baldea, Michael. An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations. United Kingdom: N. p., 2018. Web. doi:10.1016/j.compchemeng.2017.11.021.
Kelley, Morgan T., Pattison, Richard C., Baldick, Ross, & Baldea, Michael. An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations. United Kingdom. doi:10.1016/j.compchemeng.2017.11.021.
Kelley, Morgan T., Pattison, Richard C., Baldick, Ross, and Baldea, Michael. Thu . "An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations". United Kingdom. doi:10.1016/j.compchemeng.2017.11.021.
@article{osti_1549167,
title = {An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations},
author = {Kelley, Morgan T. and Pattison, Richard C. and Baldick, Ross and Baldea, Michael},
abstractNote = {},
doi = {10.1016/j.compchemeng.2017.11.021},
journal = {Computers and Chemical Engineering},
number = C,
volume = 110,
place = {United Kingdom},
year = {2018},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.compchemeng.2017.11.021

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Cited by: 5 works
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