Role of human knowledge and communication on operational benefits gained from Six sigma

  1. García-Alcaraz, J.L. 2
  2. Avelar-Sosa, L. 2
  3. Latorre-Biel, J.I. 3
  4. Jiménez-Macías, E. 1
  5. Alor-Hernández, G. 4
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad Autónoma de Ciudad Juárez
    info

    Universidad Autónoma de Ciudad Juárez

    Ciudad Juárez, México

    ROR https://ror.org/05fj8cf83

  3. 3 Universidad de Navarra
    info

    Universidad de Navarra

    Pamplona, España

    ROR https://ror.org/02rxc7m23

  4. 4 Instituto Tecnologico de Orizaba
    info

    Instituto Tecnologico de Orizaba

    Orizaba, México

    ROR https://ror.org/05vpj2s72

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Revista:
Sustainability

ISSN: 2071-1050

Año de publicación: 2017

Volumen: 9

Número: 10

Páginas: 1721

Tipo: Artículo

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DOI: 10.3390/SU9101721 SCOPUS: 2-s2.0-85030148902 WoS: WOS:000414896200052 GOOGLE SCHOLAR

Otras publicaciones en: Sustainability

Repositorio institucional: lock_openAcceso abierto Editor

Objetivos de desarrollo sostenible

Resumen

Six Sigma (SS) is a production philosophy focused on human experiences and knowledge, aimed to minimize defects of products and services. The appropriate implementation of SS requires an education process, reliable data analysis, efficient didactic material, statistical techniques and human knowledge to improve communication and operational benefits. In this article, we present a structural equation model integrating those aspects as latent variables and relating them with ten hypotheses. Data for hypothesis validation were gathered among 301 manufacturing companies, and assessed using partial least squares (PLS) to estimate direct, indirect, and total effects. As results, we found that access to reliable information, trusted analysis and knowledgeable management are crucial for SS implementation at the problem definition stage. Likewise, to execute and control SS projects, it is important to be trained in statistical techniques through clear didactic materials. © 2017 by the authors.