Title
A Comparison of an CP and MIP Approach for Scheduling jobs in production areas with Time Constraints and uncertainties.
Abstract
This research is motivated by the expensive cost of scraps because of timelink misses in a semiconductor manufacturing line due to tool downs. A timelink is a time constraint between defined process steps. This paper presents a mixed integer programming model (MIP) and a constraint programming model (CP) with downscaled time constraints. With the assistance of the survival analysis, a safety value will be computed and included as a constant in the MIP and as a dynamic expression in the CP, to downscale the allowed time between two specific operations. The MIP and CP models are tested on a realistic production area example with different problem sizes. The quality of the solution and the performance of these two approaches are compared with each other. The test results show that the CP model outperforms the MIP and quickly finds much earlier usable schedules for large problem sizes.
Year
DOI
Venue
2018
10.1109/WSC.2018.8632404
WSC
Field
DocType
ISSN
Mathematical optimization,Job shop scheduling,Scheduling (computing),Computer science,Simulation,Semiconductor device fabrication,Constraint programming,Schedule,Integer programming,Linear programming,Time constraint
Conference
0891-7736
ISBN
Citations 
PageRank 
978-1-5386-6570
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Christian Maleck101.01
Gottfried Nieke200.68
Karlheinz Bock393.66
Detlef Pabst401.35
Marcel Stehli5446.27