IDEAS home Printed from https://ideas.repec.org/a/vrs/founma/v13y2021i1p21-34n2.html
   My bibliography  Save this article

Research Method for Management of Thermoplastics Production Improvement in Rubber Industry with the Use of 3D Simulation Modeling

Author

Listed:
  • Forrai Sándor
  • Ludanyi Balázs
  • Szabó István Péter

    (University of Szeged, Faculty of Engineering, Szeged, Hungary)

  • Smagowicz Justyna
  • Szwed Cezary

    (Warsaw University of Technology, Faculty of Management, Warsaw, Poland)

Abstract

The paper concerns research and improvement of production processes in one of the European companies in the rubber industry1. The main goal is to improve the production process of the thermo-plastics obtained from polymer materials on the company’s production line. Improvement is defined as a reduction of the setup time of a key machine in the tested production process. The research method includes the analysis of the literature, observation of the studied process, and the accomplished computer simulation experiments. The proposed activities relate to the reinforcement of the key part of the machine, the change of the machine setup method, and the preliminary staff assignment to the specific tasks. The results of the simulation experiments confirm the implementation of the proposed improvements. The theoretical contribution to the research field development is the proposal of the simulation modeling methodology to improve production processes of continuous materials. Practical conclusions lead to recommendations for the implementation of improvements in the enterprise, with direct application of the proposed actions.

Suggested Citation

  • Forrai Sándor & Ludanyi Balázs & Szabó István Péter & Smagowicz Justyna & Szwed Cezary, 2021. "Research Method for Management of Thermoplastics Production Improvement in Rubber Industry with the Use of 3D Simulation Modeling," Foundations of Management, Sciendo, vol. 13(1), pages 21-34, January.
  • Handle: RePEc:vrs:founma:v:13:y:2021:i:1:p:21-34:n:2
    DOI: 10.2478/fman-2021-0002
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/fman-2021-0002
    Download Restriction: no

    File URL: https://libkey.io/10.2478/fman-2021-0002?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

    Keywords

    production management; simulation modeling; improvement of production processes; SMED; rubber industry; calender;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D2 - Microeconomics - - Production and Organizations
    • L6 - Industrial Organization - - Industry Studies: Manufacturing

    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:vrs:founma:v:13:y:2021:i:1:p:21-34:n:2. 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 Golla (email available below). General contact details of provider: https://www.sciendo.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.