• DocumentCode
    601269
  • Title

    Research on Service Quality Management Based on Statistical Process Control Theory

  • Author

    Jun Kang

  • Author_Institution
    Bus. Sch., Shanghai Dianji Univ., Shanghai, China
  • fYear
    2013
  • fDate
    11-13 April 2013
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    The common quality evaluation of service is Gaps Model, which is based on the questionnaires to contrast the customers´ expectation with their perception to evaluate service quality. However, the service consumption is inseparable from production, and service is unable to be stored. The process of service and it´s quality control is unsynchronized, and the problems could not be found and solved immediately. This article put the theory of Statistical Process Control (SPC) into service process to explore a new analysis method in service quality management. Firstly, the SPC theory is introduced and the detail procedures are included with an example of running control chart of customers´ service time. Then, the Abnormality Criteria are discussed. Lastly, the further explanation of service improvement should be based on actual facts instead of the theory of control chart merely.
  • Keywords
    consumer behaviour; control charts; customer services; quality control; statistical process control; Gaps Model; SPC theory; abnormality criteria; control chart; customer expectation; customer perception; customer service time; quality control; service consumption; service improvement; service process; service quality evaluation; service quality management; statistical process control theory; Control charts; Gaussian distribution; Monitoring; Process control; Quality control; Control Chart; Service; Service Quality; Statistical Process Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (ICSS), 2013 International Conference on
  • Conference_Location
    Shenzhen
  • ISSN
    2165-3836
  • Print_ISBN
    978-1-4673-6258-0
  • Type

    conf

  • DOI
    10.1109/ICSS.2013.20
  • Filename
    6519760