TY - GEN
T1 - A dual-forecast scheme for production output with paired/unpaired WIP data
AU - Yang, Haw Ching
AU - Tsai, Tsung Han
AU - Chao, Chien Yi
AU - Hung, M. H.
AU - Cheng, Fan Tien
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Data concerning of the IC work in process (WIP) can be classified into paired and unpaired, according to whether the corresponding input and output times of the WIP are correlated with each other. To handle these different classes of data, this study presents a production output forecast scheme that can predict the distributions in the next-period and simulate the production outputs of a semiconductor supply chain. This scheme yields the forecast support of the proposed dual-forecast models, such as empirical and grey predictive models, using a reliance index. Industrial cases studies show that the average accuracies of the scheme in forecasting unpaired WIP and paired WIP are 81% and 86%, respectively. Based on the scheme, a virtual production control system enables a fabless company to monitor its outsourcing, effectively.
AB - Data concerning of the IC work in process (WIP) can be classified into paired and unpaired, according to whether the corresponding input and output times of the WIP are correlated with each other. To handle these different classes of data, this study presents a production output forecast scheme that can predict the distributions in the next-period and simulate the production outputs of a semiconductor supply chain. This scheme yields the forecast support of the proposed dual-forecast models, such as empirical and grey predictive models, using a reliance index. Industrial cases studies show that the average accuracies of the scheme in forecasting unpaired WIP and paired WIP are 81% and 86%, respectively. Based on the scheme, a virtual production control system enables a fabless company to monitor its outsourcing, effectively.
UR - http://www.scopus.com/inward/record.url?scp=84872504459&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872504459&partnerID=8YFLogxK
U2 - 10.1109/CoASE.2012.6386467
DO - 10.1109/CoASE.2012.6386467
M3 - Conference contribution
AN - SCOPUS:84872504459
SN - 9781467304283
T3 - IEEE International Conference on Automation Science and Engineering
SP - 581
EP - 586
BT - 2012 IEEE International Conference on Automation Science and Engineering
T2 - 2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
Y2 - 20 August 2012 through 24 August 2012
ER -