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
Link To Document