IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-030-43384-0_8.html
   My bibliography  Save this book chapter

Fixed Cost and Resource Allocation Considering Technology Heterogeneity in Two-Stage Network Production Systems

In: Data Science and Productivity Analytics

Author

Listed:
  • Tao Ding

    (Hefei University of Technology)

  • Feng Li

    (Southwestern University of Finance and Economics)

  • Liang Liang

    (Hefei University of Technology)

Abstract

Many studies have concentrated on fixed cost allocation and resource allocation issues by using data envelopment analysis (DEA). Existing approaches allocate fixed cost and resource primary based on the efficiency maximization principle. However, due to the existing of technology heterogeneity among DMUs, it is impractical for all the DMUs to achieve a common technology level, especially when some DMUs are far from the efficient frontier. In this chapter, under the centralized decision environment, we present a new approach to deal with fixed cost and resource allocation issues for a two-stage production system by considering the factor of technology heterogeneity. Specifically, technology difference is analyzed in the performance evaluation framework firstly. Then, by taking the technology heterogeneity into account, the two-stage DEA-based fixed cost allocation and resource allocation models are proposed. In addition, two illustrated examples are calculated to show the feasibility of the two proposed models. Finally, this chapter is concluded.

Suggested Citation

  • Tao Ding & Feng Li & Liang Liang, 2020. "Fixed Cost and Resource Allocation Considering Technology Heterogeneity in Two-Stage Network Production Systems," International Series in Operations Research & Management Science, in: Vincent Charles & Juan Aparicio & Joe Zhu (ed.), Data Science and Productivity Analytics, chapter 0, pages 227-249, Springer.
  • Handle: RePEc:spr:isochp:978-3-030-43384-0_8
    DOI: 10.1007/978-3-030-43384-0_8
    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:isochp:978-3-030-43384-0_8. 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.