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dc.contributor.authorSalazar-Moya, Alexandra
dc.contributor.authorGarcía Sánchez, Marcelo Vladimir
dc.date.accessioned2021-12-27T11:11:40Z
dc.date.available2021-12-27T11:11:40Z
dc.date.issued2021-10-19
dc.identifier.citationDesigns 5(4) : (2021) // Article ID 67es_ES
dc.identifier.issn2411-9660
dc.identifier.urihttp://hdl.handle.net/10810/54740
dc.description.abstractAt present, any industry that wanted to be considered a vanguard must be willing to improve itself, developing innovative techniques to generate a competitive advantage against its direct competitors. Hence, many methods are employed to optimize production processes, such as Lot Streaming, which consists of partitioning the productive lots into overlapping small batches to reduce the overall operating times known as Makespan, reducing the delivery time to the final customer. This work proposes carrying out a systematic review following the PRISMA methodology to the existing literature in indexed databases that demonstrates the application of Lot Streaming in the different production systems, giving the scientific community a strong consultation tool, useful to validate the different important elements in the definition of the Makespan reduction objectives and their applicability in the industry. Two hundred papers were identified on the subject of this study. After applying a group of eligibility criteria, 63 articles were analyzed, concluding that Lot Streaming can be applied in different types of industrial processes, always keeping the main objective of reducing Makespan, becoming an excellent improvement tool, thanks to the use of different optimization algorithms, attached to the reality of each industry.es_ES
dc.description.sponsorshipThis work was supported by the Universidad Tecnica de Ambato (UTA) and their Research and Development Department (DIDE) under project CONIN-P-256-2019, and SENESCYT by grants “Convocatoria Abierta 2011” and “Convocatoria Abierta 2013”.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectlot streaminges_ES
dc.subjectproductive process typeses_ES
dc.subjectMakespanes_ES
dc.subjectoptimization algorithmses_ES
dc.subjectPRISMA reviewes_ES
dc.titleLot Streaming in Different Types of Production Processes: A PRISMA Systematic Reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-12-23T15:06:23Z
dc.rights.holder© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2411-9660/5/4/67es_ES
dc.identifier.doi10.3390/designs5040067
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoeuSistemen ingeniaritza eta automatika


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).