IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v54y2016i12p3706-3717.html
   My bibliography  Save this article

Robust scheduling of a two-stage hybrid flow shop with uncertain interval processing times

Author

Listed:
  • Xin Feng
  • Feifeng Zheng
  • Yinfeng Xu

Abstract

This paper studies the makespan minimisation scheduling problem in a two-stage hybrid flow shop. The first stage has one machine and the second stage has m identical parallel machines. Neither the processing time nor probability distribution of the processing time of each job is uncertain. We propose a robust (min--max regret) scheduling model. To solve the robust scheduling problem, which is NP-hard, we first derive some properties of the worst-case scenario for a given schedule. We then propose both exact and heuristic algorithms to solve this problem. In addition, computational experiments are conducted to evaluate the performance of the proposed algorithms.

Suggested Citation

  • Xin Feng & Feifeng Zheng & Yinfeng Xu, 2016. "Robust scheduling of a two-stage hybrid flow shop with uncertain interval processing times," International Journal of Production Research, Taylor & Francis Journals, vol. 54(12), pages 3706-3717, June.
  • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:12:p:3706-3717
    DOI: 10.1080/00207543.2016.1162341
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2016.1162341
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2016.1162341?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. Haimin Lu & Zhi Pei, 2024. "A distributionally robust approach for the two-machine permutation flow shop scheduling," Annals of Operations Research, Springer, vol. 338(1), pages 709-739, July.
    2. Jonathan De La Vega & Alfredo Moreno & Reinaldo Morabito & Pedro Munari, 2023. "A robust optimization approach for the unrelated parallel machine scheduling problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(1), pages 31-66, April.
    3. Ng, K.K.H. & Lee, C.K.M. & Chan, Felix T.S. & Qin, Yichen, 2017. "Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 115-136.

    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:54:y:2016:i:12:p:3706-3717. 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.