IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-33012-4_12.html
   My bibliography  Save this book chapter

Decision of Planning Input for Make-to-Order System

In: Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012)

Author

Listed:
  • Bi-xi Zhang

    (Guangdong University of Technology)

  • Jing Song

    (Guangdong University of Technology)

  • Sheng-qiang Hu

    (Guangdong University of Technology)

  • Ying-ying Guan

    (Guangdong University of Technology)

Abstract

Decision of planning input for make-to-order system based on learning rate is researched in the paper, affect of employee learning rate on the qualified rate in the manual operating system is analyzed and characteristics of the qualified rate’ s random fluctuation under the changing production condition are studied. We propose that the random fluctuation of qualified rate is determined by different requirements in specifications, technical difficulties, materials of make-to-order and the random uncertainty characteristics of the production system itself. Considering of affects of learning rate and random factors on the qualified rate, a model of decision-making of planning input is established with the objective to minimize the total expected expenses composed of the costs about excess output, output gaps and scrap losses. By simulating with MathCAD, it is proved that there is an optimal input as customers’ orders are certain.

Suggested Citation

  • Bi-xi Zhang & Jing Song & Sheng-qiang Hu & Ying-ying Guan, 2013. "Decision of Planning Input for Make-to-Order System," Springer Books, in: Runliang Dou (ed.), Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012), edition 127, chapter 0, pages 109-115, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-33012-4_12
    DOI: 10.1007/978-3-642-33012-4_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:sprchp:978-3-642-33012-4_12. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.