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DC Field | Value | Language |
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dc.contributor.author | Clark, Alistair | - |
dc.contributor.author | Mahdieh, Masoumeh | - |
dc.contributor.author | Rangel, Socorro | - |
dc.date.accessioned | 2014-12-03T13:11:09Z | - |
dc.date.accessioned | 2016-10-25T20:12:18Z | - |
dc.date.available | 2014-12-03T13:11:09Z | - |
dc.date.available | 2016-10-25T20:12:18Z | - |
dc.date.issued | 2014-04-18 | - |
dc.identifier | http://dx.doi.org/10.1080/00207543.2014.885662 | - |
dc.identifier.citation | International Journal Of Production Research. Abingdon: Taylor & Francis Ltd, v. 52, n. 8, p. 2490-2503, 2014. | - |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.uri | http://hdl.handle.net/11449/112919 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/112919 | - |
dc.description.abstract | This paper considers a production lot sizing and scheduling problem with sequence-dependent setup times that are not triangular. Consider, for example, a product that contaminates some other product unless either a decontamination occurs as part of a substantial setup time or there is a third product that can absorb 's contamination. When setup times are triangular then and there is always an optimal lot sequence with at most one lot per product per period (AM1L). However, product 's ability to absorb 's contamination presents a shortcut opportunity and could result in shorter non-triangular setup times such that . This implies that it can sometimes be optimal for a shortcut product such as to be produced in more than one lot within the same period, breaking the AM1L assumption in much research. This paper formulates and explains a new optimal model that not only permits multiple setups and lots per product in a period (ML), but also prohibits subtours using a polynomial number of constraints rather than an exponential number. Computational tests demonstrate the effectiveness of the ML model, even in the presence of just one decontaminating shortcut product, and its fast speed of solution compared to the equivalent AM1L model. | en |
dc.description.sponsorship | Global Research Award from the Royal Academy of Engineering, London | - |
dc.description.sponsorship | FP7 Marie Curie International Research Staff Exchange Scheme (IRSES) grant [PPExt] from the European Commission | - |
dc.description.sponsorship | Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) | - |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | - |
dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | - |
dc.format.extent | 2490-2503 | - |
dc.language.iso | eng | - |
dc.publisher | Taylor & Francis Ltd | - |
dc.source | Web of Science | - |
dc.subject | sequence-dependent setup times | en |
dc.subject | non-triangular setup times | en |
dc.subject | lot sizing and scheduling | en |
dc.title | Production lot sizing and scheduling with non-triangular sequence-dependent setup times | en |
dc.type | outro | - |
dc.contributor.institution | Univ W England | - |
dc.contributor.institution | Middlesex Univ | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.description.affiliation | Univ W England, Dept Engn Design & Math, Bristol BS16 1QY, Avon, England | - |
dc.description.affiliation | Middlesex Univ, Sch Business, London N17 8HR, England | - |
dc.description.affiliation | Univ Estadual Paulista, UNESP, Dept Matemat Aplicada, Sao Jose Do Rio Preto, Brazil | - |
dc.description.affiliationUnesp | Univ Estadual Paulista, UNESP, Dept Matemat Aplicada, Sao Jose Do Rio Preto, Brazil | - |
dc.description.sponsorshipId | FP7 Marie Curie International Research Staff Exchange Scheme (IRSES) grant [PPExt] from the European Commission2009-246881 | - |
dc.identifier.doi | 10.1080/00207543.2014.885662 | - |
dc.identifier.wos | WOS:000333997900036 | - |
dc.rights.accessRights | Acesso restrito | - |
dc.relation.ispartof | International Journal of Production Research | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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