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Models, Guidelines and Trends for Process Quality Management: A Literature Review

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Information and Communication Technologies of Ecuador (TIC.EC) (TICEC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1099))

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Abstract

Although process quality management is a mainstay for achieving success in business, it does not have a unique concept that helps its definition and application. This is due to a large amount of information that can be found in the existing bibliography, resulted from the countless diversity of opinions and theories that have emerged over time. Consequently, the difficulty to find a solid and valid pronouncement that serves as a basis to build a model of process quality management was one of the reasons to perform this work, intending to define which components or guidelines to be considered for management. With this goal in mind, a systematic literature review has been performed to cover most of the theories and models currently existing around the concept of quality management. This research covers a period of ten years, between 2009 and 2018, focusing on the industrial sector. Among the main results, it has been possible to establish the identification of the most used models of quality management, the most important guidelines, and the main benefits or challenges for the integration of a process quality approach within strategic management.

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Notes

  1. 1.

    https://www.iso.org/iso-9001-quality-management.html.

  2. 2.

    https://www.scielo.org/.

  3. 3.

    https://www.mdpi.com/.

  4. 4.

    https://dialnet.unirioja.es/.

  5. 5.

    https://atlasti.com.

  6. 6.

    https://www.zotero.org/.

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Acknowledgements

The presented work is part of the Industrial Management and Innovation Research (IMAGINE) research project called “Management model based on quality variables and corporate social responsibility for the optimization of assembly processes”, winner of the XVII University Competition of Research Projects, financed by the Research Department of the University of Cuenca (DIUC). The authors thank to all members of the research project team for their contributions and comments.

Author information

Authors and Affiliations

  1. Faculty of Economic and Administrative Sciences, University of Cuenca, Cuenca, Ecuador

    Anthony Guacho & Ana Jara

  2. Department of Computer Sciences, Faculty of Engineering, University of Cuenca, Cuenca, Ecuador

    Erik Sigcha, Rodrigo Arcentales-Carrion & Lorena Siguenza-Guzman

  3. Research Group in Accounting, Finance, and Auditing, Faculty of Economic and Administrative Sciences, University of Cuenca, Cuenca, Ecuador

    Rodrigo Arcentales-Carrion

Authors
  1. Anthony Guacho
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  2. Ana Jara
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  3. Erik Sigcha
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  4. Rodrigo Arcentales-Carrion
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  5. Lorena Siguenza-Guzman
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Corresponding authors

Correspondence to Anthony Guacho or Lorena Siguenza-Guzman .

Editor information

Editors and Affiliations

  1. ESPE, 171-5-23, Universidad de las Fuerzas Armadas, Sangolqui, Ecuador

    Efrain Fosenca C

  2. Dept de Ciencias de la Compu y Elect, Universidad Técnica Particular, Loja, Ecuador

    Germania Rodríguez Morales

  3. Escuela de Ciencias de la Computación, Universidad del Azuay, Cuenca, Ecuador

    Marcos Orellana Cordero

  4. Mz 55, Villa 4, University of Guayaquil, Guayaquil, Ecuador

    Miguel Botto-Tobar

  5. Universidad del Azuay, Cuenca, Ecuador

    Esteban Crespo Martínez

  6. Universidad del Azuay, Cuenca, Ecuador

    Andrés Patiño León

Appendices

Appendix A: Full List of References Read in the Literature Review

The summary of the components of the guidelines can be found online at https://imagineresearch.org/wp-content/uploads/2019/11/Appendix-A-References.pdf.

Appendix B: Guidelines Components Found in the Literature Review

The full list of references used in the literature review can be found online at https://imagineresearch.org/wp-content/uploads/2019/11/Appendix-B-Guideline-components-found-in-the-literature-review.pdf.

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Guacho, A., Jara, A., Sigcha, E., Arcentales-Carrion, R., Siguenza-Guzman, L. (2020). Models, Guidelines and Trends for Process Quality Management: A Literature Review. In: Fosenca C, E., Rodríguez Morales, G., Orellana Cordero, M., Botto-Tobar, M., Crespo Martínez, E., Patiño León, A. (eds) Information and Communication Technologies of Ecuador (TIC.EC). TICEC 2019. Advances in Intelligent Systems and Computing, vol 1099. Springer, Cham. https://doi.org/10.1007/978-3-030-35740-5_16

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