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 :
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