IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1204815.html
   My bibliography  Save this article

Optimization and Simulation of a Reasonable Scheduling Model under Multiple Tasks in Company Management

Author

Listed:
  • Zhuo Wang

Abstract

With the rapid development of market economy, the task scheduling model has become the core problem in the field of corporate management. In order to solve the problem that the stability of the model will decline due to the interference of human factors in the process of multitask scheduling in the traditional algorithm, a reasonable scheduling model based on the priority principle is proposed in this paper. This paper expounds the principle of multitask scheduling in company management, constructs a multitask scheduling network model based on priority, performs virtual scheduling on the model, searches the optimal solution in the solution space of the scheduling problem, and obtains the reasonable multitask scheduling method in the company management. Through the analysis of relevant simulation experiments, it can be concluded that the task scheduling algorithm proposed in this paper can not only allocate the corresponding resources for high-priority tasks effectively, but also can save the cost, so as to show better execution efficiency.

Suggested Citation

  • Zhuo Wang, 2020. "Optimization and Simulation of a Reasonable Scheduling Model under Multiple Tasks in Company Management," Complexity, Hindawi, vol. 2020, pages 1-10, September.
  • Handle: RePEc:hin:complx:1204815
    DOI: 10.1155/2020/1204815
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/1204815.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2020/1204815.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/1204815?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    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:hin:complx:1204815. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.