• Login
    View Item 
    •   Vlerick Repository Home
    • Research Output
    • Articles
    • View Item
    •   Vlerick Repository Home
    • 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

    On the Design of Custom Packs: Grouping of Medical Disposable Items for Surgeries

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Publication type
    Vlerick strategic journal article
    Author
    Cardoen, Brecht
    Beliën, Jeroen
    Vanhoucke, Mario
    Publication Year
    2015
    Journal
    International Journal of Production Research
    Publication Volume
    53
    Publication Issue
    24
    Publication Begin page
    7343
    Publication End page
    7359
    
    Metadata
    Show full item record
    Abstract
    A custom pack combines medical disposable items into a single sterile package that is used for surgical procedures. Although custom packs are gaining importance in hospitals due to their potential benefits in reducing surgery setup times, little is known on methodologies to configure them, especially if the number of medical items, procedure types and surgeons is large. In this paper, we propose a mathematical programming approach to guide hospitals in developing or reconfiguring their custom packs. In particular, we are interested in minimising points of touch, which we define as a measure for physical contact between staff and medical materials. Starting from an integer non-linear programming model, we develop both an exact linear programming (LP) solution approach and an LP-based heuristic. Next, we also describe a simulated annealing approach to benchmark the mathematical programming methods. A computational experiment, based on real data of a medium-sized Belgian hospital, compares the optimised results with the performance of the hospital's current configuration settings and indicates how to improve future usage. Next to this base case, we introduce scenarios in which we examine to what extent the results are sensitive for waste, i.e. adding more items to the custom pack than is technically required for some of the custom pack's procedures, since this can increase its applicability towards other procedures. We point at some interesting insights that can be taken up by the hospital management to guide the configuration and accompanying negotiation processes.
    Keyword
    Operations & Supply Chain Management
    Knowledge Domain/Industry
    Operations & Supply Chain Management
    DOI
    10.1080/00207543.2015.1061221
    URI
    http://hdl.handle.net/20.500.12127/5195
    ae974a485f413a2113503eed53cd6c53
    10.1080/00207543.2015.1061221
    Scopus Count
    Collections
    Articles

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  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.