TY - GEN
T1 - Autonomous Scheduling in Semiconductor Back-End Manufacturing
AU - Adan, Jelle
AU - Akcay, Alp
AU - Fowler, John
AU - Albers, Marc
AU - Geurtsen, Michael
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Production scheduling decisions have a large impact on efficiency and output, especially in complex environments such as those with sequence- and machine-dependent setup times. In practice, these scheduling problems are usually solved for a fixed time ahead. In semiconductor back-end manufacturing, given the dynamics of the environment, it is commonly observed that a schedule is no longer optimal soon after it is made. Here, we propose time-based rescheduling heuristics that can mitigate the effect of these deviations from the schedules. We build a simulation model to represent the dynamics of the shop floor as well as its interaction with the upper management level that decides how orders are released. The simulation model, which is built and validated using real-world data, enables us to evaluate the performance of the rescheduling heuristics. By comparing the results to the case without rescheduling, it is shown that rescheduling can significantly improve relevant performance measures.
AB - Production scheduling decisions have a large impact on efficiency and output, especially in complex environments such as those with sequence- and machine-dependent setup times. In practice, these scheduling problems are usually solved for a fixed time ahead. In semiconductor back-end manufacturing, given the dynamics of the environment, it is commonly observed that a schedule is no longer optimal soon after it is made. Here, we propose time-based rescheduling heuristics that can mitigate the effect of these deviations from the schedules. We build a simulation model to represent the dynamics of the shop floor as well as its interaction with the upper management level that decides how orders are released. The simulation model, which is built and validated using real-world data, enables us to evaluate the performance of the rescheduling heuristics. By comparing the results to the case without rescheduling, it is shown that rescheduling can significantly improve relevant performance measures.
UR - http://www.scopus.com/inward/record.url?scp=85147451814&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85147451814&partnerID=8YFLogxK
U2 - 10.1109/WSC57314.2022.10015252
DO - 10.1109/WSC57314.2022.10015252
M3 - Conference contribution
AN - SCOPUS:85147451814
T3 - Proceedings - Winter Simulation Conference
SP - 3489
EP - 3500
BT - Proceedings of the 2022 Winter Simulation Conference, WSC 2022
A2 - Feng, B.
A2 - Pedrielli, G.
A2 - Peng, Y.
A2 - Shashaani, S.
A2 - Song, E.
A2 - Corlu, C.G.
A2 - Lee, L.H.
A2 - Chew, E.P.
A2 - Roeder, T.
A2 - Lendermann, P.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Winter Simulation Conference, WSC 2022
Y2 - 11 December 2022 through 14 December 2022
ER -