• DocumentCode
    2692900
  • Title

    Elements of system design optimization in service quality management

  • Author

    Anerousis, Nikos ; Diao, Yixin ; Heching, Aliza

  • fYear
    2010
  • fDate
    19-23 April 2010
  • Firstpage
    48
  • Lastpage
    55
  • Abstract
    Services Quality is an area of opportunity for IT service providers to innovate and deliver outstanding results to their customers. The objective is to minimize the variance of key quality indicators and deliver predictable capabilities. In this paper we adopt the Lean Sigma methodology from the manufacturing domain as a quality control framework and propose an optimized system model for managing predictability and reducing cost in the IT incident management process. The model establishes guidelines for receiving, classifying and distributing work in a service delivery organization. It defines metrics, controls and management objectives. Using simulation, we conduct an extensive numerical study to show how the model behaves under different operational scenarios that reflect a diverse skill base, the presence of service level objectives, and incoming work with varying levels of complexity. In addition, we provide managerial insight into what drives performance and illustrate the trade-offs between different service delivery designs.
  • Keywords
    DP industry; DP management; quality control; IT incident management process; IT service providers; key quality indicators; lean sigma methodology; optimized system model; quality control framework; service delivery designs; service delivery organization; service level objectives; service quality management; system design optimization; Cost function; Design optimization; Guidelines; Manufacturing processes; Optimization methods; Predictive models; Pulp manufacturing; Quality control; Quality management; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (NOMS), 2010 IEEE
  • Conference_Location
    Osaka
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4244-5366-5
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2010.5488434
  • Filename
    5488434