IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-1-4614-1123-9_7.html
   My bibliography  Save this book chapter

No-Wait Scheduling Problems with Batching Machines

In: Just-in-Time Systems

Author

Listed:
  • A. Oulamara

    (Nancy University, Ecole des Mines de Nancy)

Abstract

Scheduling problems with batching operation are largely considered in the literature of the last decade. Batching means that sets of jobs which are processed on the same machine are grouped together into batches. One distinguish in the literature of scheduling two types of batching, namely, parallel batching and serial batching. In parallel batching, jobs are processed simultaneously so that the processing time of batch is given by the largest processing times of jobs of this batch. In serial batching, jobs are processed sequentially so that the processing of batch is given by the total processing times of jobs of this batch. This chapter focuses on several problems of no-wait scheduling problem including batching machines. Theoretical and experimental results are presented and some future researches are discussed.

Suggested Citation

  • A. Oulamara, 2012. "No-Wait Scheduling Problems with Batching Machines," Springer Optimization and Its Applications, in: Roger Z. Ríos-Mercado & Yasmín A. Ríos-Solís (ed.), Just-in-Time Systems, chapter 0, pages 147-168, Springer.
    • Handle: RePEc:spr:spochp:978-1-4614-1123-9_7
    DOI: 10.1007/978-1-4614-1123-9_7
    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. Fowler, John W. & Mönch, Lars, 2022. "A survey of scheduling with parallel batch (p-batch) processing," European Journal of Operational Research, Elsevier, vol. 298(1), pages 1-24.
    2. Yi Tan & Lars Mönch & John W. Fowler, 2018. "A hybrid scheduling approach for a two-stage flexible flow shop with batch processing machines," Journal of Scheduling, Springer, vol. 21(2), pages 209-226, April.
    3. Ivan Kristianto Singgih & Onyu Yu & Byung-In Kim & Jeongin Koo & Seungdoe Lee, 2020. "Production scheduling problem in a factory of automobile component primer painting," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1483-1496, 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:spr:spochp:978-1-4614-1123-9_7. 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.