IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v54y2017i1d10.1007_s12597-016-0276-3.html
   My bibliography  Save this article

Forward-compatible framework with critical-chain project management using a max-plus linear representation

Author

Listed:
  • Hiroyuki Goto

Abstract

Focusing on projects with uncertain task-duration times under limited resources, we develop a scheduling framework using a max-plus linear (MPL) representation. The base methodology is referred to as critical-chain project management (CCPM), designed to achieve a short lead time and observe the estimated due date. Our recent achievement called CCPM-MPL is an approach to handle the CCPM framework using an MPL representation; therein, no method for resolving resource contention is provided. We thus improve the existing CCPM-MPL framework for which it becomes compliant and forward compatible with the original CCPM. The forward compatibility yields additional benefits; it is able to list and compare all potential schedules with the same processing sequence. It can also handle multiple-input and/or multiple-output projects in a unified fashion. The former would be useful in instances when we are allowed to deliver multiple products separately, the latter when one or more resource is unavailable until a certain time.

Suggested Citation

  • Hiroyuki Goto, 2017. "Forward-compatible framework with critical-chain project management using a max-plus linear representation," OPSEARCH, Springer;Operational Research Society of India, vol. 54(1), pages 201-216, March.
  • Handle: RePEc:spr:opsear:v:54:y:2017:i:1:d:10.1007_s12597-016-0276-3
    DOI: 10.1007/s12597-016-0276-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-016-0276-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12597-016-0276-3?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. Xiaokang Han & Wenzhou Yan & Ting Liu, 2022. "Critical chains and its randomness study for scheduling optimization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 844-854, April.

    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:opsear:v:54:y:2017:i:1:d:10.1007_s12597-016-0276-3. 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.