• DocumentCode
    1320531
  • Title

    Impact of information sharing on statistical quality control

  • Author

    Tsung, Fugee

  • Author_Institution
    Dept. of Ind. Eng. & Eng. Manage., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
  • Volume
    30
  • Issue
    2
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    211
  • Lastpage
    216
  • Abstract
    With advances in information technology (IT), the research on and practice of information sharing is now having a significant impact on many aspects of supply chains. Nevertheless, few investigations focus on the impact of information sharing on product and process quality. Furthermore, it is still not clear how and what information should be shared or used, and how to quantify the benefits of information sharing in terms of quality improvement. In this research, a “matching problem” is used to demonstrate the impact of information sharing on quality. We quantify and compare the impact of different information-sharing strategies on process and product quality, and suggest that real-time information sharing may lead to dramatic quality improvement for an assembly process, the example here being a two-stage supply chain. The proposed approach to evaluate information sharing in terms of quality improvement can be extended to a more complex supply chain
  • Keywords
    goods distribution; quality control; statistical process control; information sharing; matching problem; process quality; product quality; quality improvement; statistical quality control; supply chains; Assembly; Automobiles; Automotive engineering; Fuels; Information technology; Needles; Process control; Quality control; Supply chain management; Supply chains;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/3468.833103
  • Filename
    833103