Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andres F. Merchan"'
Publikováno v:
Computers & Chemical Engineering. 94:387-410
We address the problem of production scheduling in multi-product multi-stage batch plants. Unlike most of the previous works, which propose continuous-time models, we study discrete-time mixed-integer programming models and solution methods. Specific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::009d78be9e0730459fba435a9c6cded5
https://doi.org/10.1016/j.compchemeng.2016.04.034
https://doi.org/10.1016/j.compchemeng.2016.04.034
Publikováno v:
Computers & Chemical Engineering. 84:516-535
We propose a series of preprocessing algorithms for the generation of strong valid inequalities for time-indexed, discrete and continuous, mixed-integer programming scheduling models for problems in network production environments. Specifically, star
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5a448c46bc8038d8d9578453a1c1553
https://doi.org/10.1016/j.compchemeng.2015.10.003
https://doi.org/10.1016/j.compchemeng.2015.10.003
Publikováno v:
Chemical Engineering Science. 136:139-157
In this paper, we show how four recently developed modeling and solution methods can be integrated to address mixed integer programs for the scheduling of large-scale chemical production systems. The first method uses multiple discrete time grids. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::670e5092e3011e46908144dc1f5382f7
https://doi.org/10.1016/j.ces.2015.05.021
https://doi.org/10.1016/j.ces.2015.05.021
Publikováno v:
Industrial & Engineering Chemistry Research. 53:10155-10165
Although several optimization models have been proposed for chemical production scheduling, there is still a need for effective solution methods. Accordingly, the goal of this work is to present different reformulations of representative continuous-t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8da73208010c2a348ef24da10a514ad5
https://doi.org/10.1021/ie404274b
https://doi.org/10.1021/ie404274b
Publikováno v:
AIChE Journal. 59:4461-4467
Significance Important advances in modeling chemical production scheduling problems have been made in recent years, yet effective solution methods are still required. We use an algorithm that uses process network and customer demand information to fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e079b4e16289cb6e2f961bfd7c6e3a2
https://doi.org/10.1002/aic.14249
https://doi.org/10.1002/aic.14249
We propose four different discrete-time, mixed-integer programming (MIP) models for production scheduling problems in multistage facilities. Specifically, we discuss two models based on network representations and develop two models inspired by the R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfa664ab5d7562b5c2359b83e39973d0
https://doi.org/10.1016/b978-0-444-63428-3.50065-5
https://doi.org/10.1016/b978-0-444-63428-3.50065-5
