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A Framework of Quality Control Matrix in Paprika Chain Value: An Empirical Investigation in Peru

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Intelligent Human Systems Integration 2020 (IHSI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1131))

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Abstract

At present, in the agricultural industry, continuous improvement in products or crops and quality in processes is a challenging task. Therefore, several quality techniques were adopted in this industry and advantages were obtained. The main purpose of this document is to present the advantages offered by the use of quality control and the quality control matrix in order to reduce non-conformities in the production process. The similarities and differences between traditional quality control and modern control using QAM will be presented.

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Author information

Authors and Affiliations

  1. Ingeniería Industrial, Universidad Peruana de Ciencias Aplicadas (UPC), Lima, 15023, Peru

    Diana Garcia-Montero, Luz Roman-Ramirez, Fernando Sotelo-Raffo & Edgar Ramos-Palomino

Authors
  1. Diana Garcia-Montero
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  2. Luz Roman-Ramirez
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  3. Fernando Sotelo-Raffo
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  4. Edgar Ramos-Palomino
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Corresponding author

Correspondence to Edgar Ramos-Palomino .

Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  3. Dipartimento Di Ingegneria, Edificio 25, Università di Modena e Reggio Emilia, Modena, Modena, Italy

    Alberto Vergnano

  4. Department of Mechanical and Civil Engineering, University of Modena, Modena, Modena, Italy

    Francesco Leali

  5. GRESPI, Université de Reims Champagne-Ardenne, Reims Cedex 2, France

    Redha Taiar

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Garcia-Montero, D., Roman-Ramirez, L., Sotelo-Raffo, F., Ramos-Palomino, E. (2020). A Framework of Quality Control Matrix in Paprika Chain Value: An Empirical Investigation in Peru. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_108

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