Industrial insights into lot sizing and schedulingmodeling

dc.contributor.author	Bernardo Almada-Lobo	en
dc.contributor.author	Clark,A	en
dc.contributor.author	Luís Guimarães	en
dc.contributor.author	Gonçalo Reis Figueira	en
dc.contributor.author	Pedro Amorim	en
dc.date.accessioned	2018-01-08T09:13:49Z
dc.date.available	2018-01-08T09:13:49Z
dc.date.issued	2015	en
dc.description.abstract	Lot sizing and scheduling by mixed integer programming has been a hot research topic inthe last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporatereal-world requirements from different applications. This paper illustrates some of these requirements anddemonstrates how small- and big-bucket models have been adapted and extended. Motivation comes fromdifferent industries, especially from process and fast-moving consumer goods industries. © 2015 Brazilian Operations Research Society.	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/5686
dc.identifier.uri	http://dx.doi.org/10.1590/0101-7438.2015.035.03.0439	en
dc.language	eng	en
dc.relation	5964	en
dc.relation	5428	en
dc.relation	6081	en
dc.relation	5965	en
dc.rights	info:eu-repo/semantics/embargoedAccess	en
dc.title	Industrial insights into lot sizing and schedulingmodeling	en
dc.type	article	en
dc.type	Publication	en

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