Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Venkatachalam Avadiappan"'
Publikováno v:
Computers & Chemical Engineering. 168:108028
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7408ba12102213c375367ca93a59e4ed
https://doi.org/10.1016/j.compchemeng.2022.108028
https://doi.org/10.1016/j.compchemeng.2022.108028
Autor:
Christos T. Maravelias, Venkatachalam Avadiappan, Blake C. Rawlings, Stéphane Lafortune, John M. Wassick
Publikováno v:
Computers & Chemical Engineering. 128:201-215
In this paper, we address the problem of incorporating knowledge of the automation system in a chemical plant into the online scheduling problem. Optimization models for online scheduling necessarily omit some of the plant dynamics to ensure sufficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6e4e24cdb56bbd20aab257d8feb8fb2
https://doi.org/10.1016/j.compchemeng.2019.06.015
https://doi.org/10.1016/j.compchemeng.2019.06.015
Autor:
Shamik Misra, Lucas Ryan Buttazoni, Venkatachalam Avadiappan, Ho Jae Lee, Martin Yang, Christos T. Maravelias
Publikováno v:
Computers & Chemical Engineering. 164:107895
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1a2844ca41933a0b682e379dfaeb5f5
https://doi.org/10.1016/j.compchemeng.2022.107895
https://doi.org/10.1016/j.compchemeng.2022.107895
We formally introduce the concept of “state” of a batch in production scheduling, we examine how this state impacts the scheduling process, and propose an approach to estimate it based on real-time plant information. We present an online scheduli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5510bf758482da8830c37cf59c65a3c0
https://doi.org/10.1016/b978-0-12-823377-1.50190-7
https://doi.org/10.1016/b978-0-12-823377-1.50190-7
Publikováno v:
Computers & Chemical Engineering. 101:210-225
We propose a mixed-integer nonlinear programming (MINLP) model for the simultaneous chemical process synthesis and heat integration with unclassified process streams. The model accounts for (1) streams that cannot be classified as hot or cold, and (2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9df28b81000d18297533b21060646dcb
https://doi.org/10.1016/j.compchemeng.2017.02.024
https://doi.org/10.1016/j.compchemeng.2017.02.024
Autor:
John M. Wassick, Blake C. Rawlings, Venkatachalam Avadiappan, Christos T. Maravelias, Stéphane Lafortune
We present an approach to online scheduling of chemical plant operations that incorporates precise knowledge of the dynamics enforced by the automation system. The scheduling problem is solved using a discrete-time state-space resource task network f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4282a36aba0e44849e1a8d1c69b37b9
https://doi.org/10.1016/b978-0-444-64241-7.50337-2
https://doi.org/10.1016/b978-0-444-64241-7.50337-2