IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v7y2011i2p165-194.html
   My bibliography  Save this article

Decision models for process improvement using combined response surface modelling and multi-objective optimisation

Author

Listed:
  • Mohamed H. Gadallah

Abstract

Response surface methodology (RSM) is often utilised to develop a mathematical model based on experimental results. We particularly investigate the role data sequence on the resulting modelling error. A response surface model based on UL92 (92 data points) is developed. A procedure is given to vary four models (UL8-2, UL27-2, UL25 and UL32 = UL92) in a deterministic manner to quantify the sequence effect on modelling error. Comparison of different models in terms of maximum/minimum error indicates: (a) high accuracy relative to experimental results and (b) the resulting combined models are sequence dependent. Three optimisation formulations are proposed. The first is a multi-objective optimisation problem subject to the natural constraints of process variables. The second is minimisation of the standard deviation of force subject to limits on mean force and natural constraints of process variables. The third is minimisation of difference between maximum and minimum force subject to limits on mean and standard deviation and process limits. The three formulations resulted in operating conditions least sensitive to process variations.

Suggested Citation

  • Mohamed H. Gadallah, 2011. "Decision models for process improvement using combined response surface modelling and multi-objective optimisation," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 7(2), pages 165-194.
    • Handle: RePEc:ids:ijisen:v:7:y:2011:i:2:p:165-194
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=38565
    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.

    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:ijisen:v:7:y:2011:i:2:p:165-194. 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=188 .

    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.