IDEAS home Printed from https://ideas.repec.org/a/ids/ijpsii/v3y2021i2p114-139.html
   My bibliography  Save this article

Job shop scheduling with AGVs under variable processing time

Author

Listed:
  • Shiyang Huang
  • Guiping Hu

Abstract

In this paper, a job shop scheduling problem with material handling (JSSMH) is analysed given variable job processing time. The material handling is conducted by automatic guided vehicles (AGVs). Optimisation models have been formulated to accommodate the processing time variability due to random effects and deterioration. With random processing time, the model is formulated as a stochastic programming-based JSSMH (SP-JSSMH) model, and with deteriorating processing time the model can be nonlinear under specific deteriorating functions. A case study was conducted to illustrate and validate the model. The SP-JSSMH models were solved with Pyomo and deteriorating JSSMH models were linearised and solved with CPLEX. By considering variable processing time, the JSSMH models can better adapt to real production scenarios.

Suggested Citation

  • Shiyang Huang & Guiping Hu, 2021. "Job shop scheduling with AGVs under variable processing time," International Journal of Planning and Scheduling, Inderscience Enterprises Ltd, vol. 3(2), pages 114-139.
  • Handle: RePEc:ids:ijpsii:v:3:y:2021:i:2:p:114-139
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=115617
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijpsii:v:3:y:2021:i:2:p:114-139. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=372 .

    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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=372 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.