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dc.contributor.author
Muñoz, Edrisi
dc.contributor.author
Capón-García, Elisabet
dc.contributor.author
Laínez-Aguirre, José M.
dc.contributor.author
Espuña, Antonio
dc.contributor.author
Puigjaner, Luis
dc.contributor.editor
Gernaey, Krist V.
dc.contributor.editor
Huusom, Jakob K.
dc.contributor.editor
Gani, Rafiqul
dc.date.accessioned
2020-07-22T07:05:42Z
dc.date.available
2017-06-11T23:02:07Z
dc.date.available
2020-07-22T07:05:42Z
dc.date.issued
2015
dc.identifier.isbn
978-0-444-63429-0
en_US
dc.identifier.isbn
978-0-444-63577-8
en_US
dc.identifier.issn
1570-7946
dc.identifier.other
10.1016/B978-0-444-63577-8.50010-3
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/110201
dc.description.abstract
The complexity of integrated planning and scheduling models can be tackled with decomposition techniques based on duality and information flows between a master and a set of subproblems. Hence, the information sharing and communication of information from the industrial environments requires flexible structures, facilitating the use of analytic tools and providing higher flexibility for model building in industrial environments. In this work, an ontological framework is proposed to allow the virtualization of systems and processes and to implement a novel Lagrangean decomposition scheme based on hierarchical level decomposition. Indeed, the scheduling and planning sub-problems are created for each facility/supply chain entity and their dual solution information is shared by means of the ontological framework. Two case studies based on a STN supply chain planning and scheduling models are presented to emphasize the advantages and limitations of the proposed approach.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Lagrangean Decomposition
en_US
dc.subject
Integration
en_US
dc.subject
Planning
en_US
dc.subject
Scheduling
en_US
dc.subject
Knowledge Management
en_US
dc.title
Knowledge Management to Support the Integration of Scheduling and Supply Chain Planning using Lagrangean Decomposition
en_US
dc.type
Conference Paper
dc.date.published
2015-06-10
ethz.book.title
12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering
en_US
ethz.journal.title
Computer Aided Chemical Engineering
ethz.journal.volume
37
en_US
ethz.journal.issue
Part B
en_US
ethz.pages.start
989
en_US
ethz.pages.end
994
en_US
ethz.event
12th International Symposium on Process Systems Engineering (PSE) and 25th European Symposium on Computer Aided Process Engineering (ESCAPE)
en_US
ethz.event.location
Copenhagen, Denmark
en_US
ethz.event.date
May 31 - June 4, 2015
en_US
ethz.identifier.wos
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2017-06-11T23:02:55Z
ethz.source
ECIT
ethz.identifier.importid
imp593653efa5df090123
ethz.ecitpid
pub:171385
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-12T16:37:09Z
ethz.rosetta.lastUpdated
2020-07-22T07:05:53Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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