Title :
Impact of information sharing on statistical quality control
Author_Institution :
Dept. of Ind. Eng. & Eng. Manage., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
Abstract :
With advances in information technologies (IT), the research and practice of supply-chain information sharing has a direct impact on the production scheduling and inventory control. However, few investigations focused on the impact of supply-chain information sharing on product and process quality. Furthermore, it is still not clear how and what information should be shared/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 quality impact of information sharing. We quantify and compare the impacts of different information-sharing strategies on process and product quality, and indicate that real-time information sharing may lead to dramatic quality improvement for an assembly process, as an example of a two-stage supply chain. The proposed approach to evaluate information sharing in terms of quality improvement may be directly extended to a more complex supply chain
Keywords :
assembling; autoregressive moving average processes; goods distribution; quality control; statistical process control; assembly process; information-sharing strategies; matching problem; process quality; product quality; quality improvement; statistical quality control; supply-chain information sharing; two-stage supply chain; Assembly; Fuels; Information technology; Inventory control; Job shop scheduling; Manufacturing; Needles; Production; Quality control; Supply chains;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.814223