DocumentCode :
389468
Title :
On the reactive scheduling design using flexible predictive schedules
Author :
Aloulou, Mohamed Ali
Author_Institution :
MACSI team of INRIA Lorraine & LORIA-INPL, Ecole des Mines de Nancy, France
Volume :
7
fYear :
2002
fDate :
6-9 Oct. 2002
Abstract :
We consider single machine scheduling problem with dynamic job arrival and total weighted tardiness and makespan as objective functions. The machine is subject to disruptions related to late raw material arrival and machine breakdowns. We propose several reactive algorithms to guide the execution of the jobs and to hedge against the presence of perturbations in the shop floor. These algorithms are based on flexible predictive schedules characterized by a partial order of jobs. The efficiency of these algorithms is shown through some computational experiments.
Keywords :
genetic algorithms; machining; manufacturing data processing; production control; dynamic job arrival; genetic algorithm; objective functions; perturbations; production control; reactive scheduling; single machine; total weighted tardiness; Dynamic scheduling; Electric breakdown; Job design; Job shop scheduling; Optimal scheduling; Raw materials; Robustness; Scheduling algorithm; Single machine scheduling; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2002 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-7437-1
Type :
conf
DOI :
10.1109/ICSMC.2002.1175715
Filename :
1175715
Link To Document :
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