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Optimization Models Used in the Textile Sector: A Systematic Review

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Applied Technologies (ICAT 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1535))

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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.

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Acknowledgments

This research was carried out under the project “Incorporating Sustainability concepts to management models of textile Micro, Small and Medium Enterprises (SUMA)” funded by the Flemish Interuniversity Council (VLIR) and the Vice-Rector’s Office for Research of the University of Cuenca.

Author information

Authors and Affiliations

  1. Department of Computer Sciences, Faculty of Engineering, Universidad de Cuenca, Cuenca, Ecuador

    María Belén Toledo, Christian Torres Torres, Lorena Siguenza-Guzman & Jaime Veintimilla-Reyes

  2. Faculty of Chemical Sciences, University of Cuenca, Cuenca, Ecuador

    Juan Carlos Llivisaca

  3. Department of Applied Chemistry and Systems of Production, Faculty of Chemical Sciences, Universidad de Cuenca, Cuenca, Ecuador

    Juan Carlos Llivisaca & Mario Peña

  4. Research Department (DIUC), Universidad de Cuenca, Cuenca, Ecuador

    Mario Peña

  5. Research Centre Accountancy, Faculty of Economics and Business, KU Leuven, Leuven, Belgium

    Lorena Siguenza-Guzman

Authors
  1. María Belén Toledo
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  2. Christian Torres Torres
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  3. Juan Carlos Llivisaca
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  4. Mario Peña
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  5. Lorena Siguenza-Guzman
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  6. Jaime Veintimilla-Reyes
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Corresponding author

Correspondence to Jaime Veintimilla-Reyes .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Miguel Botto-Tobar

  2. Universidad de las Fuerzas Armadas (ESPE), Sangolquí, Ecuador

    Sergio Montes León

  3. Universidad Técnica Particular de Loja, Loja, Ecuador

    Pablo Torres-Carrión

  4. Universidad Técnica del Norte, Ibarra, Ecuador

    Marcelo Zambrano Vizuete

  5. International University of Sarajevo, Sarajevo, Bosnia and Herzegovina

    Benjamin Durakovic

Appendix A

Appendix A

Table A1. Complete list of references read in the systematic review.
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Toledo, M.B., Torres Torres, C., Llivisaca, J.C., Peña, M., Siguenza-Guzman, L., Veintimilla-Reyes, J. (2022). Optimization Models Used in the Textile Sector: A Systematic Review. In: Botto-Tobar, M., Montes León, S., Torres-Carrión, P., Zambrano Vizuete, M., Durakovic, B. (eds) Applied Technologies. ICAT 2021. Communications in Computer and Information Science, vol 1535. Springer, Cham. https://doi.org/10.1007/978-3-031-03884-6_15

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  • DOI: https://doi.org/10.1007/978-3-031-03884-6_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-03883-9

  • Online ISBN: 978-3-031-03884-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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