IDEAS home Printed from https://ideas.repec.org/a/ids/ijmtma/v8y2006i4p308-329.html
   My bibliography  Save this article

A framework for developing and using a predictive delivery performance measurement system

Author

Listed:
  • Chatchai Unahabhokha
  • Ken Platts
  • Kim Hua Tan

Abstract

Traditional performance measurement systems encourage companies to measure historical delivery performance and respond to what has already happened. This paper presents a framework for developing a predictive delivery performance measurement system for organisations. The framework consists of three main sections. The first presents a methodology and criteria for selecting key predictors for a delivery performance of a particular production order. The second section presents a tool used to develop a predictive mechanism which helps to predict a delivery performance from the selected key predictors. The third section shows how a preventive system could work to help manage an unfavourable predicted delivery performance outcome. This paper first describes the methodology used to develop the framework and then the framework in detail. Then a case study is used to illustrate the application of the framework. Finally, results and discussion from the case study are reported and potential future research is discussed.

Suggested Citation

  • Chatchai Unahabhokha & Ken Platts & Kim Hua Tan, 2006. "A framework for developing and using a predictive delivery performance measurement system," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 8(4), pages 308-329.
  • Handle: RePEc:ids:ijmtma:v:8:y:2006:i:4:p:308-329
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=9242
    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. Tan, Kim Hua & Rae, Rosalind H., 2009. "Uncovering the links between regulation and performance measurement," International Journal of Production Economics, Elsevier, vol. 122(1), pages 449-457, November.
    2. Quezada, Luis E. & Cordova, Felisa M. & Palominos, Pedro & Godoy, Katherine & Ross, Jocelyn, 2009. "Method for identifying strategic objectives in strategy maps," International Journal of Production Economics, Elsevier, vol. 122(1), pages 492-500, November.
    3. Francesco Capalbo & Adelaide Ippolito & Margherita Smarra & Marco Sorrentino, 2023. "Il ruolo strategico dei Sistemi di Misurazione delle Performance nelle aziende sanitarie. Un caso studio," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(1), pages 119-142.

    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:ijmtma:v:8:y:2006:i:4:p:308-329. 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=21 .

    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.