IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03880599.html
   My bibliography  Save this paper

A software platform for supporting the design and reconfiguration of versatile assembly systems

Author

Listed:
  • Marcello Colledani

    (POLIMI - Politecnico di Milano [Milan])

  • Anteneh Yemane
  • Giovanni Lugaresi

    (LGI - Laboratoire Génie Industriel - CentraleSupélec - Université Paris-Saclay)

  • Giovanni Borzi
  • Daniele Callegaro

Abstract

In today's business environment, the trend towards more product variety and customization is unbroken. Due to this development, the need of agile and reconfigurable production systems emerged to cope with various products and product families. To design and optimize production systems as well as to choose the optimal product matches, product analysis methods are needed. Indeed, most of the known methods aim to analyze a product or one product family on the physical level. Different product families, however, may differ largely in terms of the number and nature of components. This fact impedes an efficient comparison and choice of appropriate product family combinations for the production system. A new methodology is proposed to analyze existing products in view of their functional and physical architecture. The aim is to cluster these products in new assembly oriented product families for the optimization of existing assembly lines and the creation of future reconfigurable assembly systems. Based on Datum Flow Chain, the physical structure of the products is analyzed. Functional subassemblies are identified, and a functional analysis is performed. Moreover, a hybrid functional and physical architecture graph (HyFPAG) is the output which depicts the similarity between product families by providing design support to both, production system planners and product designers. An illustrative example of a nail-clipper is used to explain the proposed methodology. An industrial case study on two product families of steering columns of thyssenkrupp Presta France is then carried out to give a first industrial evaluation of the proposed approach.

Suggested Citation

  • Marcello Colledani & Anteneh Yemane & Giovanni Lugaresi & Giovanni Borzi & Daniele Callegaro, 2018. "A software platform for supporting the design and reconfiguration of versatile assembly systems," Post-Print hal-03880599, HAL.
    • Handle: RePEc:hal:journl:hal-03880599
    DOI: 10.1016/j.procir.2018.03.082
    Note: View the original document on HAL open archive server: https://hal.science/hal-03880599
    as

    Download full text from publisher

    File URL: https://hal.science/hal-03880599/document
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.procir.2018.03.082?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
    ---><---

    References listed on IDEAS

    as
    1. Yoram Koren & Wencai Wang & Xi Gu, 2017. "Value creation through design for scalability of reconfigurable manufacturing systems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(5), pages 1227-1242, March.
    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. Huan Shao & Aiping Li & Liyun Xu & Giovanni Moroni, 2019. "Scalability in manufacturing systems: a hybridized GA approach," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1859-1879, April.
    2. Bustinza, Oscar F. & Opazo-Basaez, Marco & Tarba, Shlomo, 2022. "Exploring the interplay between Smart Manufacturing and KIBS firms in configuring product-service innovation performance," Technovation, Elsevier, vol. 118(C).
    3. Sihan Huang & Yan Yan, 2019. "Part family grouping method for reconfigurable manufacturing system considering process time and capacity demand," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 424-445, June.
    4. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    5. Bashir Salah & Mustufa Haider Abidi & Syed Hammad Mian & Mohammed Krid & Hisham Alkhalefah & Ali Abdo, 2019. "Virtual Reality-Based Engineering Education to Enhance Manufacturing Sustainability in Industry 4.0," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    6. Youssef Lahrichi & Laurent Deroussi & Nathalie Grangeon & Sylvie Norre, 2021. "A balance-first sequence-last algorithm to design RMS: a matheuristic with performance guaranty to balance reconfigurable manufacturing systems," Journal of Heuristics, Springer, vol. 27(1), pages 107-132, April.
    7. Carlos Alberto Barrera-Diaz & Amir Nourmohammadi & Henrik Smedberg & Tehseen Aslam & Amos H. C. Ng, 2023. "An Enhanced Simulation-Based Multi-Objective Optimization Approach with Knowledge Discovery for Reconfigurable Manufacturing Systems," Mathematics, MDPI, vol. 11(6), pages 1-23, March.
    8. Delorme, Xavier & Cerqueus, Audrey & Gianessi, Paolo & Lamy, Damien, 2023. "RMS balancing and planning under uncertain demand and energy cost considerations," International Journal of Production Economics, Elsevier, vol. 261(C).
    9. Ortega-Jimenez, Cesar H. & Garrido-Vega, Pedro & Cruz Torres, Cristian Andrés, 2020. "Achieving plant responsiveness from reconfigurable technology: Intervening role of SCM," International Journal of Production Economics, Elsevier, vol. 219(C), pages 195-203.
    10. Battaïa, Olga & Dolgui, Alexandre & Guschinsky, Nikolai, 2023. "MIP-based heuristics for combinatorial design of reconfigurable rotary transfer machines for production of multiple parts," International Journal of Production Economics, Elsevier, vol. 262(C).

    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:hal:journl:hal-03880599. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.