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http://acervodigital.unesp.br/handle/11449/70313
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DC Field | Value | Language |
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dc.contributor.author | Araujo, Silvio A. de | - |
dc.contributor.author | Arenales, Marcos N. | - |
dc.contributor.author | Clark, Alistair R. | - |
dc.date.accessioned | 2014-05-27T11:22:48Z | - |
dc.date.accessioned | 2016-10-25T18:25:16Z | - |
dc.date.available | 2014-05-27T11:22:48Z | - |
dc.date.available | 2016-10-25T18:25:16Z | - |
dc.date.issued | 2008-03-01 | - |
dc.identifier | http://dx.doi.org/10.1016/j.cor.2006.05.010 | - |
dc.identifier.citation | Computers and Operations Research, v. 35, n. 3, p. 916-932, 2008. | - |
dc.identifier.issn | 0305-0548 | - |
dc.identifier.uri | http://hdl.handle.net/11449/70313 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/70313 | - |
dc.description.abstract | A lot sizing and scheduling problem prevalent in small market-driven foundries is studied. There are two related decision levels: (1) the furnace scheduling of metal alloy production, and (2) moulding machine planning which specifies the type and size of production lots. A mixed integer programming (MIP) formulation of the problem is proposed, but is impractical to solve in reasonable computing time for non-small instances. As a result, a faster relax-and-fix (RF) approach is developed that can also be used on a rolling horizon basis where only immediate-term schedules are implemented. As well as a MIP method to solve the basic RF approach, three variants of a local search method are also developed and tested using instances based on the literature. Finally, foundry-based tests with a real-order book resulted in a very substantial reduction of delivery delays and finished inventory, better use of capacity, and much faster schedule definition compared to the foundry's own practice. © 2006 Elsevier Ltd. All rights reserved. | en |
dc.format.extent | 916-932 | - |
dc.language.iso | eng | - |
dc.source | Scopus | - |
dc.subject | Lot sizing and scheduling | - |
dc.subject | Meta-heuristics | - |
dc.subject | Mixed integer programming | - |
dc.subject | Heuristic algorithms | - |
dc.subject | Integer programming | - |
dc.subject | Metadata | - |
dc.subject | Problem solving | - |
dc.subject | Tabu search | - |
dc.subject | Metaheuristics | - |
dc.subject | Scheduling | - |
dc.title | Lot sizing and furnace scheduling in small foundries | en |
dc.type | outro | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.contributor.institution | Universidade de São Paulo (USP) | - |
dc.contributor.institution | University of the West of England | - |
dc.description.affiliation | Instituto de Biociências Letras e Ciências Exatas Departamento de Ciências da Computação e Estatística, Sao Jose do Rio Preto, SP 15054-000 | - |
dc.description.affiliation | Instituto de Ciências Matemáticas e de Computação Departamento de Matemática Aplicada e Estatística Universidade de São Paulo, Caixa Postal 668, São Carlos, SP 13560-970 | - |
dc.description.affiliation | Faculty of Computing Engineering and Mathematical Sciences University of the West of England, Bristol, BS16 1QY | - |
dc.identifier.doi | 10.1016/j.cor.2006.05.010 | - |
dc.identifier.wos | WOS:000250256100022 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | Computers and Operations Research | - |
dc.identifier.scopus | 2-s2.0-34548453509 | - |
dc.identifier.orcid | 0000-0002-4762-2048 | pt |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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