TY - GEN
T1 - Enhance the processing and management efficiency of dental laboratory by the strategy of productivity 4.0
AU - Cheng, Yu Jie
AU - Chen, Ming Huang
AU - Cheng, Fu Chi
AU - Lin, Keng Pei
AU - Yang, Cheng Jung
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/21
Y1 - 2017/7/21
N2 - Due to advances in medicine, the societies have become aging, which leads to the problem of missing teeth. Missing teeth negatively affects not only external appearance but also personal dietary habits. Therefore, it has become an important issue in dentistry to solve the problem of missing teeth. In Taiwan, dental prostheses for missing teeth are produced by dental technicians in dental laboratories. The traditional production of dental prostheses is labor consuming. But the need for human power in dental laboratories will not be satisfied in the future due to low human birth rate. Therefore, it is necessary to decrease the need for human power in this area by strategies of Productivity 4.0. In this study, we plan to improve the managing efficiency of traditional dental prosthesis production in dental laboratories. Firstly the material of denture and environmental parameters of lab will be gathered by the framework of Internet of Things (IoT). Then data mining will be used to improve the efficiency of inventory management. In this case, the concept of Productivity 4.0 can be successfully applied to the production of dental prostheses.
AB - Due to advances in medicine, the societies have become aging, which leads to the problem of missing teeth. Missing teeth negatively affects not only external appearance but also personal dietary habits. Therefore, it has become an important issue in dentistry to solve the problem of missing teeth. In Taiwan, dental prostheses for missing teeth are produced by dental technicians in dental laboratories. The traditional production of dental prostheses is labor consuming. But the need for human power in dental laboratories will not be satisfied in the future due to low human birth rate. Therefore, it is necessary to decrease the need for human power in this area by strategies of Productivity 4.0. In this study, we plan to improve the managing efficiency of traditional dental prosthesis production in dental laboratories. Firstly the material of denture and environmental parameters of lab will be gathered by the framework of Internet of Things (IoT). Then data mining will be used to improve the efficiency of inventory management. In this case, the concept of Productivity 4.0 can be successfully applied to the production of dental prostheses.
UR - http://www.scopus.com/inward/record.url?scp=85028543267&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028543267&partnerID=8YFLogxK
U2 - 10.1109/ICASI.2017.7988187
DO - 10.1109/ICASI.2017.7988187
M3 - Conference contribution
AN - SCOPUS:85028543267
T3 - Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017
SP - 1098
EP - 1101
BT - Proceedings of the 2017 IEEE International Conference on Applied System Innovation
A2 - Meen, Teen-Hang
A2 - Lam, Artde Donald Kin-Tak
A2 - Prior, Stephen D.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Applied System Innovation, ICASI 2017
Y2 - 13 May 2017 through 17 May 2017
ER -
