IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v57y2019i24p7586-7609.html
   My bibliography  Save this article

A classification of tactical assembly line feeding problems

Author

Listed:
  • Nico André Schmid
  • Veronique Limère

Abstract

Trends like mass-customisation and the increasing number of models produced and parts used on a single assembly line promote interest in the field of assembly line feeding. The assembly line feeding problem (ALFP) deals with the assignment of parts to line feeding policies such as line stocking, boxed-supply, sequencing and kitting (stationary and travelling), and emerged as a research field two and a half decades ago. In order to structure the increasing effort in this field, we provide an extensive review of the literature and organise it from various perspectives. Furthermore, we propose a classification for the ALFP and classify existing literature. The goal of this classification is threefold. Firstly, it should help the reader to get an overview of the problem and most of its related aspects. Secondly, the classification reveals blind spots in academic research. Finally, it enables practitioners to match real-world problems with existing research results. In order to encourage researchers to close the existing gaps, we finalise this paper by pointing out the most important open research fields.

Suggested Citation

  • Nico André Schmid & Veronique Limère, 2019. "A classification of tactical assembly line feeding problems," International Journal of Production Research, Taylor & Francis Journals, vol. 57(24), pages 7586-7609, December.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:24:p:7586-7609
    DOI: 10.1080/00207543.2019.1581957
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2019.1581957
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2019.1581957?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Emilio Moretti & Elena Tappia & Veronique Limère & Marco Melacini, 2021. "Exploring the application of machine learning to the assembly line feeding problem," Operations Management Research, Springer, vol. 14(3), pages 403-419, December.
    2. Li, Mingxing & Huang, George Q., 2021. "Production-intralogistics synchronization of industry 4.0 flexible assembly lines under graduation intelligent manufacturing system," International Journal of Production Economics, Elsevier, vol. 241(C).
    3. Schmid, Nico André & Limère, Veronique & Raa, Birger, 2021. "Mixed model assembly line feeding with discrete location assignments and variable station space," Omega, Elsevier, vol. 102(C).
    4. Emilio Moretti & Elena Tappia & Martina Mauri & Marco Melacini, 2022. "A performance model for mobile robot-based part feeding systems to supermarkets," Flexible Services and Manufacturing Journal, Springer, vol. 34(3), pages 580-613, September.
    5. Adenipekun, Ebenezer Olatunde & Limère, Veronique & Schmid, Nico André, 2022. "The impact of transportation optimisation on assembly line feeding," Omega, Elsevier, vol. 107(C).
    6. 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).
    7. Stefan Fedtke & Nils Boysen & Patrick Schumacher, 2023. "In-line kitting for part feeding of assembly lines: workload balancing and storage assignment to reduce the workers’ walking effort," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(3), pages 717-758, September.

    More about this item

    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:taf:tprsxx:v:57:y:2019:i:24:p:7586-7609. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.