IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-70516-9_5.html
   My bibliography  Save this book chapter

Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies

In: Implementing Industry 4.0 in SMEs

Author

Listed:
  • Manuel Woschank

    (Montanuniversitaet Leoben)

  • Patrick Dallasega

    (Free University of Bozen-Bolzano)

  • Johannes A. Kapeller

    (Montanuniversitaet Leoben)

Abstract

The integrated planning and control of logistics processes can be seen as one of the basic prerequisites for the successful implementation of smart production systems and smart and lean supply chains, as well. Therefore, modern Industry 4.0 approaches are mainly focusing on (1) the principles of decentralization and (2) the usage of real-time data to improve the overall logistics performance in terms of promised delivery dates, work in progress, capacity utilization, and lead-times. In this context, this chapter systematically evaluates the application of decentralized production planning and control strategies, e.g., KANBAN and CONWIP, in comparison with traditional approaches, like MRP. Moreover, the impact of real-time data usage in production planning and control systems on lead-times and work in progress is investigated using a discrete event simulation based on primary data from a make to order manufacturer. The results of this industrial case study research confirm the significant potential that lies in smart production systems and smart and lean supply chains and, therefore, in the introduction of Industry 4.0 technologies and technological concepts in production and logistics systems.

Suggested Citation

  • Manuel Woschank & Patrick Dallasega & Johannes A. Kapeller, 2021. "Investigation of the Potential to Use Real-Time Data in Production Planning and Control of Make to Order (MTO) Manufacturing Companies," Springer Books, in: Dominik T. Matt & Vladimír Modrák & Helmut Zsifkovits (ed.), Implementing Industry 4.0 in SMEs, edition 1, chapter 0, pages 165-185, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-70516-9_5
    DOI: 10.1007/978-3-030-70516-9_5
    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.

    Citations

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


    Cited by:

    1. Wolfgang Seiringer & Balwin Bokor & Klaus Altendorfer, 2024. "Evaluating Production Planning and Control Systems in Different Environments: A Comparative Simulation Study," Papers 2405.02015, arXiv.org, revised Nov 2024.

    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:sprchp:978-3-030-70516-9_5. 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.