IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i11p5846-d560270.html
   My bibliography  Save this article

Performance Analysis of Urban Cleaning Devices Using Human–Machine Interaction Method

Author

Listed:
  • María Alonso-García

    (Mechanical Engineering and Industrial Design Department, University of Cádiz, Av. de la Universidad 10, Puerto Real, 11519 Cádiz, Spain)

  • Ana García-Sánchez

    (Mechanical Engineering and Industrial Design Department, University of Cádiz, Av. de la Universidad 10, Puerto Real, 11519 Cádiz, Spain)

  • Paula Jaén-Moreno

    (Mechanical Engineering and Industrial Design Department, University of Cádiz, Av. de la Universidad 10, Puerto Real, 11519 Cádiz, Spain)

  • Manuel Fernández-Rubio

    (Feniks Cleaning and Safety S.L., Calle Fridex Uno 3, Alcalá de Guadaíra, 41500 Sevilla, Spain)

Abstract

Presently, several jobs require the collaboration of humans and machines to perform different services and tasks. The ease and intuitiveness of the worker when using each machine will not only improve the worker’s experience but also improve the company’s productivity and the satisfaction that all users have. Specifically, electromechanical devices used to provide cleaning services require complex interactions. These interactions determine the usability and performance of devices. Therefore, devices must have appropriate ergonomic arrangements for human–machine interactions. Otherwise, the desired performance cannot be achieved. This study analyzes the performance of an urban cleaning device (pressure washer on a power take-off van) using human–machine interaction method. The method measures visceral and behavioral levels (set by Norman) and service times. Using these measurements, the usability of the pressure washer is determined according to different factors that facilitate the operator’s well-being in the working environment. A pressure washer from Feniks Cleaning and Safety, Limited Company, has been studied. Sixteen errors related to ergonomics, usability and safety were identified in this machine, which operates in more than 40 locations in Spain. Therefore, this study provides valuable information on the usability and performance of pressure washers, as well as possibilities for improvement.

Suggested Citation

  • María Alonso-García & Ana García-Sánchez & Paula Jaén-Moreno & Manuel Fernández-Rubio, 2021. "Performance Analysis of Urban Cleaning Devices Using Human–Machine Interaction Method," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5846-:d:560270
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/11/5846/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/11/5846/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Martin Gašo & Martin Krajčovič & Ľuboslav Dulina & Patrik Grznár & Juraj Vaculík, 2019. "Methodology of Creating and Sustainable Applying of Stereoscopic Recording in the Industrial Engineering Sector," Sustainability, MDPI, vol. 11(8), pages 1-22, April.
    2. Tiberiu Marogel-Popa & Marina Viorela Marcu & Stelian Alexandru Borz, 2020. "Postural Risk in Manual Planting Operations of Poplar: Two Options Compared," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    3. Ana Castillo-Martinez & Jose-Amelio Medina-Merodio & Jose-Maria Gutierrez-Martinez & Juan Aguado-Delgado & Carmen De-Pablos-Heredero & Salvador Otón, 2018. "Evaluation and Improvement of Lighting Efficiency in Working Spaces," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baoshi Sun & Qiaoli Zhang & Shi Cao, 2020. "Development and Implementation of a Self-Optimizable Smart Lighting System Based on Learning Context in Classroom," IJERPH, MDPI, vol. 17(4), pages 1-26, February.
    2. Branislav Micieta & Vladimira Binasova & Radovan Lieskovsky & Martin Krajcovic & Luboslav Dulina, 2019. "Product Segmentation and Sustainability in Customized Assembly with Respect to the Basic Elements of Industry 4.0," Sustainability, MDPI, vol. 11(21), pages 1-20, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5846-:d:560270. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.