TY - GEN
T1 - An Evaluation of Strategies for Job Mix Selection in Job Shop Production Environments-Case
T2 - 2021 Winter Simulation Conference, WSC 2021
AU - Ghasemi, Amir
AU - Heavey, Cathal
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this research the impact of job mix selection in each production shift in a job shop production environment is examined. This is a critical question within photolithography workstations in semiconductor manufacturing systems. For this purpose, a recently developed Simulation Optimization (SO) method named Evolutionary Learning Based Simulation Optimization (ELBSO) is implemented to solve a set of designed Stochastic Job Shop Scheduling problems captured from a real semiconductor manufacturing data set. Experiment results indicate that the best performance in each shift occurs when machines are flexible in terms of processing different job operations, and the selected jobs for a certain shift have as equal as possible due dates.
AB - In this research the impact of job mix selection in each production shift in a job shop production environment is examined. This is a critical question within photolithography workstations in semiconductor manufacturing systems. For this purpose, a recently developed Simulation Optimization (SO) method named Evolutionary Learning Based Simulation Optimization (ELBSO) is implemented to solve a set of designed Stochastic Job Shop Scheduling problems captured from a real semiconductor manufacturing data set. Experiment results indicate that the best performance in each shift occurs when machines are flexible in terms of processing different job operations, and the selected jobs for a certain shift have as equal as possible due dates.
UR - http://www.scopus.com/inward/record.url?scp=85126099904&partnerID=8YFLogxK
U2 - 10.1109/WSC52266.2021.9715478
DO - 10.1109/WSC52266.2021.9715478
M3 - Conference contribution
AN - SCOPUS:85126099904
T3 - Proceedings - Winter Simulation Conference
BT - 2021 Winter Simulation Conference, WSC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 December 2021 through 15 December 2021
ER -