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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/40842
Title: Optimization models used in the textile sector: a systematic review
Authors: Toledo Illescas, Maria Belen
Veintimilla Reyes, Jaime Eduardo
Siguenza Guzman, Lorena Catalina
Peña Ortega, Mario Patricio
Llivisaca Villazhañay, Juan Carlos
Torres Torres, Christian Marcelo
metadata.dc.ucuenca.correspondencia: Toledo Illescas, Maria Belen, belen.toledo@ucuenca.ec
Keywords: Logistics
Textile
Optimization
Systematic review
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 5. Ciencias Sociales
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 5.2.3 Relaciones Industriales
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 5.2 Economía y Negocios
metadata.dc.ucuenca.areaconocimientounescoamplio: 04 - Administración, Negocios y Legislación
metadata.dc.ucuenca.areaconocimientounescodetallado: 0413 - Gestión y Administración
metadata.dc.ucuenca.areaconocimientounescoespecifico: 041 - Negocios y Administración
Issue Date: 2022
metadata.dc.ucuenca.embargoend: 30-Dec-2050
metadata.dc.ucuenca.volumen: Volumen 1535
metadata.dc.source: Communications in Computer and Information Science
metadata.dc.identifier.doi: 10.1007/978-3-031-03884-6_15
Publisher: Springer Science and Business Media Deutschland GmbH
metadata.dc.description.city: 
Quito
metadata.dc.type: ARTÍCULO DE CONFERENCIA
Abstract: 
In recent years, several works have been published dedicated to obtaining optimization models. Many of them have been applied in the textile sector because they are part of the economic development areas of a country. This article’s main objective is to review the literature published on optimization models and understand what methods their authors used to solve the optimization problems in the textile sector. A systematic methodology was applied to select research questions, digital databases, and search terms to utilize practical and methodological filters later to carry out this systematic review. This procedure allowed performing a review and synthesis of the results obtained on the optimization models. It was found that the models resulting from the systematic review vary depending on the areas to be optimized. The most frequent applications were logistics and production, followed by cost minimization. They were optimized mainly with linear programming, integer programming, Markov chains, genetic algorithms, and multi-objective programming
URI: http://dspace.ucuenca.edu.ec/handle/123456789/40842
https://www.scopus.com/record/display.uri?eid=2-s2.0-85128490540&doi=10.1007%2f978-3-031-03884-6_15&origin=inward&txGid=e439eadb501ede8e120a7ff97885665a
metadata.dc.ucuenca.urifuente: https://www.springer.com/series/7899
ISBN: 978-303103883-9
ISSN: 1865-0929
Appears in Collections:Artículos

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