Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Brianna Christian"'
Publikováno v:
Computers & Operations Research. 146:105886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bdd58220de3de376101e91485190a70
https://doi.org/10.1016/j.cor.2022.105886
https://doi.org/10.1016/j.cor.2022.105886
Autor:
Brianna Christian, Selen Cremaschi
Publikováno v:
Chemical Engineering Science. 187:223-244
Industry trends suggest that the feedstock and product portfolios along with utilized technologies of chemical process industry (CPI) may grow and be quite different compared to today’s in the near future. Incorporation of new feedstocks and techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08704117439f3d6598260da0b6b14173
https://doi.org/10.1016/j.ces.2018.04.016
https://doi.org/10.1016/j.ces.2018.04.016
Publikováno v:
Industrial & Engineering Chemistry Research. 57:9185-9199
Optimization problems with decision-dependent (endogenous) and/or decision-independent (exogenous) uncertainties are commonly observed in the process industry, and multistage stochastic programming (MSSP) is one approach for modeling such problems. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d2b6c8e223aac5cb05d13487a118d20
https://doi.org/10.1021/acs.iecr.8b00822
https://doi.org/10.1021/acs.iecr.8b00822
Autor:
Brianna Christian, Selen Cremaschi
Publikováno v:
AIChE Journal. 64:1262-1271
The growth in computation complexity of multistage stochastic programs (MSSPs) with problem size often prevents its application to real-world size problems. We present two variants of branch-and-bound algorithm, which reduce the resource requirements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c266ae0e1dfc26c813dd2651edb64ef
https://doi.org/10.1002/aic.16019
https://doi.org/10.1002/aic.16019
Autor:
Brianna Christian, Selen Cremaschi
Publikováno v:
Computers & Chemical Engineering. 96:18-32
The knapsack decomposition algorithm (KDA) (Christian and Cremaschi, 2015) decomposes the R&D pipeline management problem into a series of knapsack problems, which are solved along the planning horizon. It yields tight feasible solutions, and improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec7224bea4e6d5a83907da30b4e5ad2a
https://doi.org/10.1016/j.compchemeng.2016.10.011
https://doi.org/10.1016/j.compchemeng.2016.10.011
Autor:
Brianna Christian, Selen Cremaschi
The rise in attrition in new drug development projects in the pharmaceutical industry has spurred activity in the optimal planning and scheduling of pharmaceutical clinical trials. One challenge in the scheduling of clinical trials is that the succes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40729531c55a1b5a5d428ebb033c36a7
https://doi.org/10.1016/b978-0-444-63963-9.00021-x
https://doi.org/10.1016/b978-0-444-63963-9.00021-x
Autor:
Brianna Christian, Selen Cremaschi
Publikováno v:
Computers & Chemical Engineering. 74:34-47
The paper presents two heuristic approaches, a shrinking horizon multiple two-stage stochastic programming (MTSSP) decomposition algorithm and a knapsack decomposition algorithm (KDA), for solving multistage stochastic programmes (MSSPs) with endogen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6eac11b21462324ceef36bc1f960b93
https://doi.org/10.1016/j.compchemeng.2014.12.014
https://doi.org/10.1016/j.compchemeng.2014.12.014
Publikováno v:
Computers & Chemical Engineering. 42:248-262
A methodology and tool set for the simultaneous design of ionic liquid entrainers and azeotropic separation processes is presented. By adjusting the cation, anion, and alkyl chain length on the cation, the properties of the ionic liquid can be adjust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f968a0dda4b26ced9de77bb8fc3f5c
https://doi.org/10.1016/j.compchemeng.2012.02.021
https://doi.org/10.1016/j.compchemeng.2012.02.021
Autor:
Brianna Christian, Selen Cremaschi
The paper presents a novel knapsack decomposition algorithm for solving multistage stochastic programs (MSSPs) with endogenous uncertainty, specifically focusing on pharmaceutical R&D pipeline management problem. The algorithm decomposes the MSSP int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7800aacc68532f5071e1ae9a6ab9e6d
https://doi.org/10.1016/b978-0-444-63455-9.50049-0
https://doi.org/10.1016/b978-0-444-63455-9.50049-0