2010 IEEE International Conference on Data Mining Workshops, 2010
... Bernd Scholz-Reiter, Jens Heger* and Torsten Hildebrandt BIBA - Bremer Institut für Produktio... more ... Bernd Scholz-Reiter, Jens Heger* and Torsten Hildebrandt BIBA - Bremer Institut für Produktion und Logistik GmbH at the University of Bremen ... B. Gaussian Processes 1) Introduction O'Hagan [15] represents an early reference from the statistics community for the use of a GP as ...
Proceedings of the 2010 Winter Simulation Conference, 2010
Dispatching rules play an important role especially in semiconductor manufacturing scheduling, be... more Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized by high complexity and dynamics. The process of developing and adapting dispatching rules is currently a tedious, largely manual task. Coupling Genetic Programming (GP), a global optimization meta-heuristic from the family of Evolutionary Algorithms, with a stochastic discrete event simulation of a complex
ABSTRACT Minimizing total weighted tardiness for job shops is a hard production scheduling proble... more ABSTRACT Minimizing total weighted tardiness for job shops is a hard production scheduling problem. Shifting bottleneck (SB) procedures, which use a backtracking technique, can achieve excellent results for this problem. However, they usually require long computation times and do not scale well to larger problem instances of a realistic industrial size. In order to enhance the efficiency of SB procedures, we use variable neighbourhood search (VNS) instead of backtracking to optimize the machine planning sequence and the decomposed single machine problems. Evaluation on static benchmark problem instances and more realistic, dynamic scenarios confirms the performance and efficiency of our SB-VNS procedure. (C) 2013 CIRP.
2010 IEEE International Conference on Data Mining Workshops, 2010
... Bernd Scholz-Reiter, Jens Heger* and Torsten Hildebrandt BIBA - Bremer Institut für Produktio... more ... Bernd Scholz-Reiter, Jens Heger* and Torsten Hildebrandt BIBA - Bremer Institut für Produktion und Logistik GmbH at the University of Bremen ... B. Gaussian Processes 1) Introduction O'Hagan [15] represents an early reference from the statistics community for the use of a GP as ...
Proceedings of the 2010 Winter Simulation Conference, 2010
Dispatching rules play an important role especially in semiconductor manufacturing scheduling, be... more Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized by high complexity and dynamics. The process of developing and adapting dispatching rules is currently a tedious, largely manual task. Coupling Genetic Programming (GP), a global optimization meta-heuristic from the family of Evolutionary Algorithms, with a stochastic discrete event simulation of a complex
ABSTRACT Minimizing total weighted tardiness for job shops is a hard production scheduling proble... more ABSTRACT Minimizing total weighted tardiness for job shops is a hard production scheduling problem. Shifting bottleneck (SB) procedures, which use a backtracking technique, can achieve excellent results for this problem. However, they usually require long computation times and do not scale well to larger problem instances of a realistic industrial size. In order to enhance the efficiency of SB procedures, we use variable neighbourhood search (VNS) instead of backtracking to optimize the machine planning sequence and the decomposed single machine problems. Evaluation on static benchmark problem instances and more realistic, dynamic scenarios confirms the performance and efficiency of our SB-VNS procedure. (C) 2013 CIRP.
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