Priority rules for job shops with weighted tardiness costs
Management Science
The shifting bottleneck procedure for job shop scheduling
Management Science
Comparison of dispatching rules for semiconductor manufacturing using large facility models
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Computers and Operations Research
A multi-criteria approach for scheduling semiconductor wafer fabrication facilities
Journal of Scheduling
Computers and Industrial Engineering
Scheduling jobs on parallel machines with setup times and ready times
Computers and Industrial Engineering
Computers and Industrial Engineering
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Wafer fabrication is a capital-intensive and highly complex manufacturing process. In the wafer fabrication facility (fab), wafers are grouped as a lot to go through repeated sequences of operations to build circuitry. Lot scheduling is an important task for manufacturers to improve production efficiency and meet customers' requirements of on-time delivery. In this research we propose a dispatching rule for lot scheduling in wafer fabs, focusing on three due date-based objectives: on-time delivery rate, mean tardiness, and maximum tardiness. Although many dispatching rules have been proposed in the literature, they usually perform well in some objectives and bad in others. Our rule implements good principles in existing rules by means of (1) an urgency function for a single lot, (2) a priority index function considering total urgency of multiple waiting lots, (3) a due date extension procedure for dealing with tardy lots, and (4) a lot filtering procedure for selecting urgent lots. Simulation experiments are conducted using nine data sets of fabs. Six scenarios formed by two levels of load and three levels of due date tightness are tested for each fab. Performance verification of the proposed rule is achieved by comparing with nine benchmark rules. The experimental results show that the proposed rule outperforms the benchmark rules in terms of all concerned objective functions.