IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1370-d733548.html
   My bibliography  Save this article

Model-Based Enterprise Approach in the Product Lifecycle Management: State-of-the-Art and Future Research Directions

Author

Listed:
  • Angelo Corallo

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Vito Del Vecchio

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Marianna Lezzi

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

  • Angela Luperto

    (Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy)

Abstract

Innovations in product development and process technologies represent a promising strategy to face the increasing competitiveness of modern markets in the global economy. Also, customer requirements become more and more specific and the complexity of products is still increasing. Industries need to adopt effective solutions during the product development process and to support, for sustainable purposes, all the phases of the product lifecycle. Advanced model-based solutions emerge for digitally supporting these industrial needs. In this context, a Model-Based Enterprise (MBE) represents an organization that adopts modeling technologies, such as Model-Based Definition (MBD) solutions, to integrate and manage both technical and business processes related to product design, production, support, and retirement. Past research discusses the model-based approaches focusing on technical product development, mainly referring to the design and the manufacturing phases. A wide perspective from the other phases of lifecycle seems to lack in the literature. By carrying out a systematic literature review, this research aims to investigate the relationships between the MBE approaches and the product lifecycle phases and to identify potential benefits and challenges. It enhances the academic knowledge domain by also shedding light on potential future research directions.

Suggested Citation

  • Angelo Corallo & Vito Del Vecchio & Marianna Lezzi & Angela Luperto, 2022. "Model-Based Enterprise Approach in the Product Lifecycle Management: State-of-the-Art and Future Research Directions," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1370-:d:733548
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1370/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/3/1370/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei Yang & Chaofan Fu & Xiaoguang Yan & Zhuoning Chen, 2020. "A knowledge-based system for quality analysis in model-based design," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1579-1606, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gautam Dutta & Ravinder Kumar & Rahul Sindhwani & Rajesh Kr. Singh, 2021. "Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1679-1698, August.

    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:gam:jsusta:v:14:y:2022:i:3:p:1370-:d:733548. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.