• Login
    View Item 
    •   DSpace Home
    • ADU Repository
    • General Collection
    • Managment
    • View Item
    •   DSpace Home
    • ADU Repository
    • General Collection
    • Managment
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Simulation-based Six Sigma value function for system-level performance assessment and improvement

    Thumbnail
    Date
    2018-01
    Type
    Article
    Author
    Aomar, Raid Al
    Chaudhry, Sohail
    Metadata
    Show full item record
    Abstract
    The purpose of this paper is to develop a simulation-based value function (VF) that combines multiple key performance indicators (KPIs) into a unified Sigma rating (SR) for system-level performance assessment and improvement. Simulation is used as a platform for assessing the multiple KPIs at the system level. A simple additive VF is formed to combine the KPIs into a unified SR using the analytical hierarchy process and the entropy method. Value mapping is utilized to resolve the conflict among KPIs and generate a unified value. These methods are integrated into the standard Six Sigma define-measure-analyze-improve-control (DMAIC) process. Simulation results provided the Six Sigma DMAIC process with system-level performance measurement and analysis based on multiple KPIs. The developed VF successfully generated unified SRs that were used to assess various performance improvement plans. The accuracy and credibility of the results obtained from using the proposed VF are highly dependent on the availability of pertinent data and the accuracy of the developed simulation model. The proposed approach provides Six Sigma practitioners and performance managers with a mechanism to assess and improve the performance of production and service system based on multiple KPIs when conducting Six Sigma studies. This paper contributes to the previous research by handling multiple KPIs in Six Sigma studies conducted at the system level using simulation and VF. The research also provides guidelines for using the different methods of weights assessment to form the VF within the DMAIC process.
    URI
    https://dspace.adu.ac.ae/handle/1/2127
    DOI
    https://doi.org/10.1108/IJPPM-01-2016-0007
    Citation
    Al-Aomar, R., & Chaudhry, S. (2018). Simulation-based Six Sigma value function for system-level performance assessment and improvement. International Journal of Productivity and Performance Management.
    Collections
    • Managment

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Context

    Edit this item

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV