Title
Column generation heuristics for multiple machine, multiple orders per job scheduling problems
Abstract
Front opening unified pods (FOUPs) are used to store and transport silicon wafers in 300-mm semiconductor wafer fabs. To achieve production efficiencies, wafers are grouped together in FOUPs without regard to the originating customer placing the order. In the resulting multiple orders per job (moj) scheduling problem, scheduling is performed at the FOUP (i.e., aggregated order) level, while scheduling performance is assessed per individual customer order. Column generation heuristics are presented for single and parallel machine moj scheduling problems to minimize total weighted order completion time. The proposed heuristics obtain near-optimal solutions very quickly, outperforming competing approaches in the literature.
Year
DOI
Venue
2008
10.1007/s10479-007-0281-2
Annals OR
Keywords
Field
DocType
Semiconductor manufacturing,Column generation,Machine scheduling
Lottery scheduling,Column generation,Mathematical optimization,Job shop scheduling,Fair-share scheduling,Flow shop scheduling,Rate-monotonic scheduling,Dynamic priority scheduling,Mathematics,Round-robin scheduling
Journal
Volume
Issue
ISSN
159
1
0254-5330
Citations 
PageRank 
References 
8
0.77
1
Authors
2
Name
Order
Citations
PageRank
Jagadish Jampani1141.66
Scott J. Mason255573.37