IDEAS home Printed from https://ideas.repec.org/a/aag/wpaper/v26y2022ispecialp15-39.html
   My bibliography  Save this article

Wilson Models and its Applications in Decision Sciences

Author

Listed:
  • Bui Anh Tuan

    (Department of Mathematics Education, School of Education, Can Tho University, Vietnam)

  • Thu-Quang Luu

    (Faculty of Finance, Banking University of Ho Chi Minh City, Vietnam)

  • Shin-Hung Pan

    (Department of M-Commerce and Multimedia Applications, Asia University, Taiwan)

  • Wing-Keung Wong

    (Department of Finance, Fintech & Blockchain Research Center, and Big Data Research Center, Asia University, Taiwan. Department of Medical Research, China Medical University Hospital Department of Economics and Finance, The Hang Seng University of Hong Kong)

Abstract

[Purpose] The problems of getting the optimal order quantity and reducing reserve management costs play an abundantly important role in economics and several other disciplines such as construction, business, and finance. Thus, it is tremendously meaningful to study the issues. [Design/methodology/approach] Wilson is a ubiquitous model utilized to get optimize order quantity and reduce reserve management costs. This model was first developed by Harris (1913) and followed up by Wilson (1934) who expanded it to become a Wilson model. Although the Wilson model has been used for a very long time, the theory and applications of this model need to be stated clearly and systematically. To bridge the gap in the literature in this area and provide academics and practitioners with an overview of the Wilson model, in this paper, we explore the issue. [Findings] We first introduce the general concepts and principles of reserve management. We then present the origin and workaround of the Wilson model and exhibit two examples to illustrate the approach. In addition, we also provide some applications of the Wilson model in Economics. [Originality/Value] All of the issues presented and discussed in this paper are unique and new in the field. [Practical implications] This work will help people interested in finance and economics have the best plan to carry out the work in the most cost-effective and efficient way.

Suggested Citation

  • Bui Anh Tuan & Thu-Quang Luu & Shin-Hung Pan & Wing-Keung Wong, 2022. "Wilson Models and its Applications in Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 26(Special), pages 15-39, December.
  • Handle: RePEc:aag:wpaper:v:26:y:2022:i:special:p:15-39
    as

    Download full text from publisher

    File URL: https://iads.site/wilson-models-and-its-applications-in-decision-sciences/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Wilson model; Management system; Economics;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production

    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:aag:wpaper:v:26:y:2022:i:special:p:15-39. 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: Vincent Pan (email available below). General contact details of provider: https://edirc.repec.org/data/dfasitw.html .

    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.