• Login
    View Item 
    •   Vlerick Repository Home
    • Vlerick Research Output
    • Articles
    • View Item
    •   Vlerick Repository Home
    • Vlerick Research Output
    • Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Vlerick RepositoryCommunities & CollectionsPublication DateAuthorsTitlesSubjectsKnowledge Domain/IndustryThis CollectionPublication DateAuthorsTitlesSubjectsKnowledge Domain/Industry

    My Account

    LoginRegister

    Contact & Info

    ContactVlerick Journal ListOpen AccessVlerick Business School

    Statistics

    Display statistics

    Tolerance limits for project control: An overview of different approaches (Published Online)

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Publisher version
    View Source
    Access full-text PDFOpen Access
    View Source
    Check access options
    Check access options
    Publication type
    Article in academic journal
    Author
    Vanhoucke, Mario
    Publication Year
    2018
    Journal
    European Computers and Industrial Engineering
    
    Metadata
    Show full item record
    Abstract
    Monitoring the performance of projects in progress and controlling their expected outcome by taking corrective actions is a crucial task for any project manager. Project control systems are in use to quantify the project performance at a certain moment in time, and allow the project manager to predict the expected outcome if no action is taken. Consequently, these systems serve as mechanism that provide warning signals that tell the project manager when it is time to take corrective actions to bring the expected project outcome back on track. In order to trust these generated warning signals, the project manager has to set limits on the provide performance metrics that serve as thresholds for these actions. This paper gives an overview of different approaches discussed in the literature to control projects using such actions thresholds. First and foremost, the paper discusses three classes of actions thresholds,ranging from very easy-to-use rules-of-thumb to more advanced statistical project control methodologies. Each of these tools have been the subject to research studies, each of which aim at showing their power to predict project problems during its progress. In addition, the paper will emphasize the fundamental different between statistical project control using tolerance limits and statistical process control for projects. Finally, three different quality metrics to evaluate the performance of such control methods are presented and discussed.
    Keyword
    Project Management, Project Control, Earned Value Management, Tolerance Limits, Statistical Project Control
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    DOI
    10.1016/j.cie.2018.10.035
    URI
    http://hdl.handle.net/20.500.12127/6123
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.cie.2018.10.035
    Scopus Count
    Collections
    Articles

    entitlement

     
    DSpace software (copyright © 2002 - 2019)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.