TY - GEN
T1 - An on-line probabilistic paradigm for optimal disassembly planning
AU - Tang, Ying
AU - Renner, Peter
PY - 2006
Y1 - 2006
N2 - Disassembly is of growing importance in material and product recovery. However, the deployment of this process is complicated due to the lack of a priori information necessary for its control and planning. This paper develops a predictive model to tackle this problem.
AB - Disassembly is of growing importance in material and product recovery. However, the deployment of this process is complicated due to the lack of a priori information necessary for its control and planning. This paper develops a predictive model to tackle this problem.
UR - http://www.scopus.com/inward/record.url?scp=36049008788&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=36049008788&partnerID=8YFLogxK
U2 - 10.1109/SOLI.2006.235396
DO - 10.1109/SOLI.2006.235396
M3 - Conference contribution
AN - SCOPUS:36049008788
SN - 1424403189
SN - 9781424403189
T3 - 2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
SP - 770
EP - 774
BT - 2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
T2 - 2006 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2006
Y2 - 21 June 2006 through 23 June 2006
ER -