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An Overview of Optimization Models and Technological Trends of Logistics in the Retail Sector

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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

Recently, the e-commerce market has grown rapidly. For example, e-commerce generated sales of USD 504 billion in the US from January 1, 2020, to July 1, 2020, representing an increase of 11.58% over the same period in 2019. This growth has forced the retail industry has had to adopt strategies to become more efficient. About 40% of many companies ‘available time is devoted to logistics. Because these activities are consuming a disproportionate share of many companies’ time, logistics is a prime topic of interest. In this context, this study aims to present an overview of optimization models and technological trends in logistics in the retail sector. Findings show that retail logistics has focused on reducing costs, time usage, and inventories while increasing transport capacity. Optimization in logistics has focused on using mathematical algorithms such as genetic algorithms with different variants, and simulation has supported testing optimization proposals. Finally, big data, omnichannel, and e-commerce continue to grow, especially in the retail sector where it has grown considerably.

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Acknowledgments

This study is part of the research project “Modelo de optimizacíon para la gestión de diseño, inventarios y logística de las tiendas en el sector minorista (retail) del Azuay”, supported by the Research Department of the University of Cuenca (DIUC). The project participants are especially grateful to Mr. Pablo Andrés Mendéz Tacuri and Mr. William Mauricio Campoverde Bermeo, who contributed to the initial phase of this article and showed commitment and responsibility during the information acquisition phase.

Author information

Authors and Affiliations

  1. Department of Applied Chemistry and Systems of Production, Faculty of Chemical Sciences, University of Cuenca, 010107, Cuenca, Ecuador

    Juan Llivisaca, Diana Jadan-Avilés, Rodrigo Guamán & Mario Peña

  2. Research Group in Accounting, Finance, and Taxation, Faculty of Economic and Administrative Sciences, University of Cuenca, 010107, Cuenca, Ecuador

    Rodrigo Arcentales-Carrion

  3. Research Department (DIUC), University of Cuenca, 010107, Cuenca, Ecuador

    Mario Peña

  4. Department of Computer Sciences, Faculty of Engineering, University of Cuenca, 010107, Cuenca, Ecuador

    Lorena Siguenza-Guzman

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

    Lorena Siguenza-Guzman

Authors
  1. Juan Llivisaca
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  2. Diana Jadan-Avilés
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  3. Rodrigo Guamán
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  4. Rodrigo Arcentales-Carrion
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  5. Mario Peña
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  6. Lorena Siguenza-Guzman
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Corresponding author

Correspondence to Juan Llivisaca .

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 – Full List of Codes and References Utilized in the Literature Review

Appendix A – Full List of Codes and References Utilized in the Literature Review

The list of codes in Atlas.ti and sources used in the literature review can be found online at https://imagineresearch.org/wp-content/uploads/2021/06/Opt-Appendix-A%E2%80%93References.pdf.

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Llivisaca, J., Jadan-Avilés, D., Guamán, R., Arcentales-Carrion, R., Peña, M., Siguenza-Guzman, L. (2022). An Overview of Optimization Models and Technological Trends of Logistics in the Retail Sector. 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_35

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  • DOI: https://doi.org/10.1007/978-3-031-03884-6_35

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  • Online ISBN: 978-3-031-03884-6

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