Zobrazeno 1 - 10
of 120
pro vyhledávání: '"John M. Wassick"'
Publikováno v:
International Journal of Production Research. 60:517-533
In this paper, we present a methodology, by utilising a nonparametric multivariate cumulative sum control chart and data envelopment analysis in tandem, to evaluate and monitor distribution network...
Autor:
Christos Georgakis, Leo H. Chiang, Zhenyu Wang, John M. Wassick, Swee-Teng Chin, Philippe Hayot, Ivan Castillo
Publikováno v:
Industrial & Engineering Chemistry Research. 59:14868-14880
The optimization of batch processes usually relies on the availability of a detailed knowledge-driven model. However, because of the great varieties of industrial batch processes and their small pr...
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57a97881f5acdbafd4d089df4290382f
https://doi.org/10.1016/b978-0-323-85159-6.50087-7
https://doi.org/10.1016/b978-0-323-85159-6.50087-7
Autor:
Heiner Ackermann, Simen Akkermans, Satyajith Amaran, Michael Amrhein, Norbert Asprion, Tilman Barz, Satyajeet Bhonsale, Lorenz T. Biegler, Filippo Bisotti, Dominique Bonvin, Michael Bortz, Mariano Nicolas Cruz Bournazou, Luisa C. Brée, Andreas Bulan, Jorge Diaz, Sebastian Engell, Gregor Foltin, Grégory François, Andrea Galeazzi, Francesco Gallo, Federico Galvanin, Jochen Gattermayer, Thomas Gerlach, Joachim Gross, Ignacio E. Grossmann, David Hajnal, Raoul Heese, Melanie Heidgen, Michael Helmling, Jesús D. Hernández, Christoph Herwig, Stefan Hoeser, Shachit S. Iyer, Julian Kager, Thomas Kochenburger, Stefan Lehner, Neele Leithäuser, Filip Logist, Jonas Mairhofer, Flavio Manenti, David C. Miller, Alexander Mitsos, Jan Mohring, Peter Neubauer, Philippe Nimmegeers, Chinedu O. Okoli, Luca Onofri, Hector D. Perez, Karen Perrey, Jürgen Rarey, Gianluca Rizzi, Kosan Roh, Miguel A. Romero-Valle, Jochen Schmid, Jan C. Schöneberger, Hergen Schultze, Daniel Staak, Ioanna Stamati, Philipp Süss, Dries Telen, Carlos Tellaeche, Jan F.M. Van Impe, John M. Wassick, Christian Weiß, Jarosław Wlazło
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9417d750dcb4f9162bbf0bb6cde4a18d
https://doi.org/10.1016/b978-0-323-85043-8.09991-8
https://doi.org/10.1016/b978-0-323-85043-8.09991-8
Publikováno v:
Computers & Chemical Engineering. 166:107972
Publikováno v:
Industrial & Engineering Chemistry Research. 58:19973-19984
The problem of integrating planning and scheduling models is addressed. Many of the previous models proposed in the literature assume that both models need to be solved over the same time horizon, ...
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
Publikováno v:
31st European Symposium on Computer Aided Process Engineering ISBN: 9780323885065
An integrated framework for building a virtual replica of business transactional processes in supply chains is presented. The framework consists of two main components: a simulation module and an optimization module. Business processes are modeled as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04310c674b867a6aa24704672358571a
https://doi.org/10.1016/b978-0-323-88506-5.50272-2
https://doi.org/10.1016/b978-0-323-88506-5.50272-2
A new continuous time multistage scheduling Mixed-Integer Linear Programming (MILP) model is proposed to optimize the business transactional processes in supply chains. The novelty of this approach is in using techniques from the Process Systems Engi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb9cd93d9ff0e2320180f4175f8f220
https://doi.org/10.1016/b978-0-12-823377-1.50194-4
https://doi.org/10.1016/b978-0-12-823377-1.50194-4