IDEAS home Printed from https://ideas.repec.org/a/tuk/qipqip/v18y2014i13.html
   My bibliography  Save this article

Proactive Approach to Manufacturing Planning

Author

Listed:
  • Peter Bubeník
  • Filip Horák

Abstract

Proposed concept of proactive manufacturing planning uses sets of knowledge to create plan. These sets of knowledge are gained from transformation of historical data of selected indicators. This concept uses the analysis of occurred events, which is done by applying data mining methods to known historical data. Results of analysis are then recorded into knowledge-based system for further use. Application of data mining techniques helps to find hidden relationships with high influence on final decision of planner. This concept aims to navigate planner during creation of real plans resulting from real situations. Unknown situations are modelled using simulation module.

Suggested Citation

  • Peter Bubeník & Filip Horák, 2014. "Proactive Approach to Manufacturing Planning," Quality Innovation Prosperity, Technical University of Košice, Department of integrated management, vol. 18(1).
    • Handle: RePEc:tuk:qipqip:v:18:y:2014:i:1:3
    as

    Download full text from publisher

    File URL: http://www.qip-journal.eu/index.php/QIP/article/view/208/275
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Miroslav Fusko & Monika Bučková & Martin Gašo & Martin Krajčovič & Ľuboslav Dulina & Radovan Skokan, 2019. "Concept of Long-Term Sustainable Intralogistics in Plastic Recycling Factory," Sustainability, MDPI, vol. 11(23), pages 1-27, November.
    2. Patrik Grznár & Milan Gregor & Štefan Mozol & Martin Krajčovič & Ľuboslav Dulina & Martin Gašo & Michal Major, 2019. "A System to Determine the Optimal Work-in-Progress Inventory Stored in Interoperation Manufacturing Buffers," Sustainability, MDPI, vol. 11(14), pages 1-36, July.

    More about this item

    Keywords

    data mining; production planning; proactive approach; knowledge-based system;
    All these keywords.

    JEL classification:

    • Z - Other Special Topics

    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:tuk:qipqip:v:18:y:2014:i:1:3. 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: Peter Bober (email available below). General contact details of provider: .

    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.