IDEAS home Printed from https://ideas.repec.org/a/ids/ijisen/v33y2019i1p97-128.html
   My bibliography  Save this article

Scheduling an assembly job shop production system with multiple objectives: a simulation study

Author

Listed:
  • Midhun Paul
  • R. Sridharan
  • T. Radha Ramanan

Abstract

This paper presents the salient aspects of the performance analysis of two mechanisms for shop floor control namely, order review/release (ORR) and dispatching rules in an assembly job shop system in a multi-objective environment. A simulation model of an assembly job shop is developed for experimentation with eight dispatching rules and four ORR mechanisms from the literature. An ORR policy based on the concept of backward scheduling and interval release is developed and incorporated in the simulation model. Grey relational analysis is used for ranking the ORR policy-dispatching rule combinations. Multivariate and univariate hypotheses are developed. The results are analysed using ANOVA and MANOVA. The analysis of results reveals that integrating dispatching rules with ORR policies provides better system performance than using dispatching rules alone. The proposed ORR policy namely, backward scheduling with interval release policy provides better results than other ORR polices.

Suggested Citation

  • Midhun Paul & R. Sridharan & T. Radha Ramanan, 2019. "Scheduling an assembly job shop production system with multiple objectives: a simulation study," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 33(1), pages 97-128.
    • Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:97-128
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=102049
    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:ijisen:v:33:y:2019:i:1:p:97-128. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=188 .

    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.