IDEAS home Printed from https://ideas.repec.org/a/ids/ijpqma/v28y2019i4p417-437.html
   My bibliography  Save this article

Extension of the model of manufacturing supply chain quality management: an empirical study

Author

Listed:
  • Arash Apornak
  • Maryam Amiri Hezaveh

Abstract

Supply chain management could flow the quality management from the level of the individual to the entire chain. The cross-compliance with supply chain management and effective relationships between supply chain partners are able to provide the context in which they can play their role in a successful quality management and ultimately improve the quality of the final customer and the profitability and satisfaction. The existing research to develop previous studies that have focused on supply chain quality management, according to this after a survey on different frameworks in the areas of quality management and supply chain from reviewing of literature, the most appropriate framework based on a case study situation has been chosen. Then the data has been gathered from questionnaires and was statistically analysed. The hypotheses of the study have been confirmed and it also suggests that the eight components of the model influence on supply chain quality management.

Suggested Citation

  • Arash Apornak & Maryam Amiri Hezaveh, 2019. "Extension of the model of manufacturing supply chain quality management: an empirical study," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 28(4), pages 417-437.
    • Handle: RePEc:ids:ijpqma:v:28:y:2019:i:4:p:417-437
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=103686
    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. Palash Saha & Subrata Talapatra & H. M. Belal & Victoria Jackson, 2022. "Unleashing the Potential of the TQM and Industry 4.0 to Achieve Sustainability Performance in the Context of a Developing Country," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 495-513, December.
    2. Bingtao Quan & Sujian Li & Kuo-Jui Wu, 2022. "Optimizing the Vehicle Scheduling Problem for Just-in-Time Delivery Considering Carbon Emissions and Atmospheric Particulate Matter," Sustainability, MDPI, vol. 14(10), pages 1-19, May.

    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:ijpqma:v:28:y:2019:i:4:p:417-437. 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=177 .

    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.