IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v46y2014i12p1298-1314.html
   My bibliography  Save this article

Primary pharmaceutical manufacturing scheduling problem

Author

Listed:
  • Subhash C. Sarin
  • Hanif D. Sherali
  • Lingrui Liao

Abstract

This article addresses an integrated lot-sizing and scheduling problem that arises in the primary manufacturing phase of a pharmaceutical supply chain. Multiple pharmaceutical ingredients and their intermediate products are to be scheduled on parallel and capacitated bays for production in batches. Sequence-dependent setup times and costs are incurred when cleaning a bay during changeovers between different product families. The problem also contains a high multiplicity asymmetric traveling salesman-type of substructure because of sequence-dependent setups and special restrictions. Mixed-integer programming formulations are proposed for this problem and several valid inequalities are developed to tighten the model. A column generation method along with a decomposition scheme and an advanced-start solution are designed to efficiently derive good solutions to this highly complex problem. A computational investigation is performed, based on instances that closely follow a real-life application, and it demonstrates the efficacy of the proposed solution approach.

Suggested Citation

  • Subhash C. Sarin & Hanif D. Sherali & Lingrui Liao, 2014. "Primary pharmaceutical manufacturing scheduling problem," IISE Transactions, Taylor & Francis Journals, vol. 46(12), pages 1298-1314, December.
    • Handle: RePEc:taf:uiiexx:v:46:y:2014:i:12:p:1298-1314
    DOI: 10.1080/0740817X.2014.882529
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2014.882529
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/0740817X.2014.882529?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. Adam Fleischhacker & Bintong Chen & Hemant Kher & Mariano Mazal & Bob Pfender, 2015. "Practice Summary: Capacity Planning in the Presence of Sequence-Dependent Setups at AstraZeneca Pharmaceuticals," Interfaces, INFORMS, vol. 45(4), pages 358-362, August.

    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:uiiexx:v:46:y:2014:i:12:p:1298-1314. 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/uiie .

    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.