IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v55y2017i15p4516-4529.html
   My bibliography  Save this article

Process-oriented risk assessment methodology for manufacturing process evaluation

Author

Listed:
  • Liaqat A. Shah
  • Alain Etienne
  • Ali Siadat
  • François Vernadat

Abstract

A process-oriented quantitative risk assessment methodology is proposed to evaluate risk associated with processes using modelling, simulation and decision-making approaches. For this purpose, risks involved in a process and the corresponding risk factors are identified through an objective-oriented risk identification approach. The identified risks are first analysed qualitatively in the failure mode effect and critical analysis process and then evaluated quantitatively in a simulation environment employing a process-based risk measurement model. To ease the decision-making process in case of multiple but heterogeneous risk measures, a global risk indicator is developed using the normalisation and aggregation techniques of the decision theory. Using the proposed methodology as a decision-making tool, alternative manufacturing scenarios (i.e. manufacturing process plans) are developed and ranked on the basis of desirability. Although the methodology is illustrated with a case study issued from the part manufacturing, it is also applicable to a wide range of other processes.

Suggested Citation

  • Liaqat A. Shah & Alain Etienne & Ali Siadat & François Vernadat, 2017. "Process-oriented risk assessment methodology for manufacturing process evaluation," International Journal of Production Research, Taylor & Francis Journals, vol. 55(15), pages 4516-4529, August.
  • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:15:p:4516-4529
    DOI: 10.1080/00207543.2016.1268728
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2016.1268728
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2016.1268728?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Rafika Thabet & Dominik Bork & Amine Boufaied & Elyes Lamine & Ouajdi Korbaa & Hervé Pingaud, 2021. "Risk-aware business process management using multi-view modeling: method and tool," Post-Print hal-03202277, HAL.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:55:y:2017:i:15:p:4516-4529. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.