IDEAS home Printed from https://ideas.repec.org/a/ids/ijmdma/v17y2018i4p396-414.html
   My bibliography  Save this article

Food safety risk analysis from the producers' perspective: prioritisation of production process stages by HACCP and TOPSIS

Author

Listed:
  • Antonella Certa
  • Mario Enea
  • Giacomo Maria Galante
  • Joaquín Izquierdo
  • Concetta Manuela La Fata

Abstract

From the manufacturers perspective, the hazard analysis and critical control point (HACCP) system nowadays represents the mainly way to implement the food safety risk management in food industries. Nevertheless, the identification and prioritisation of hazards as the outcome of the first principle of HACCP is not sufficient to identify production process stages that more significantly and critically contribute to the consumer's risks. With this recognition, the present paper proposes a quantitative risk assessment (QRA) approach based on HACCP and technique for order of preference by similarity to ideal solution (TOPSIS) to individuate production process phases on which implementing corrective actions to improve the consumers' safety. The designed methodological approach is implemented on the smoked salmon manufacturing process of a real Sicilian industry.

Suggested Citation

  • Antonella Certa & Mario Enea & Giacomo Maria Galante & Joaquín Izquierdo & Concetta Manuela La Fata, 2018. "Food safety risk analysis from the producers' perspective: prioritisation of production process stages by HACCP and TOPSIS," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 17(4), pages 396-414.
  • Handle: RePEc:ids:ijmdma:v:17:y:2018:i:4:p:396-414
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=95720
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Farzad Sharifi & Mohammad Ali Vahdatzad & Behrad Barghi & Nasibeh Azadeh-Fard, 2022. "Identifying and ranking risks using combined FMEA-TOPSIS method for new product development in the dairy industry and offering mitigation strategies: case study of Ramak Company," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2790-2807, 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:ids:ijmdma:v:17:y:2018:i:4:p:396-414. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=19 .

    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.