Genetic algorithm based reactive scheduling in manufacturing system - advanced crossover method for tardiness minimization problems -

Mechatronics for Safety, Security and Dependability in a New Era

Volumn , Issue , 2007, Pages 207-212

  Sakaguchi, T ^a   Tanimizu, Y ^b   Harada, K ^c   Iwamura, K ^b   Sugimura, N ^b  

^a KOBE UNIVERSITY   (Japan)

^b Osaka Prefecture University   (Japan)

^c TOYOTA MOTOR CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; PRODUCTION CONTROL; SCHEDULING; SCHEDULING ALGORITHMS;

COMPUTATIONAL EXPERIMENT; MANUFACTURING ENVIRONMENTS; MANUFACTURING EQUIPMENT; MANUFACTURING PROCESS; PRODUCTION SCHEDULE; REACTIVE SCHEDULING SYSTEMS; SCHEDULING RESEARCH; TARDINESS MINIMIZATION;

MANUFACTURE;

EID: 79960780942     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-008044963-0/50043-6     Document Type: Chapter

References (3)

1. Smith S.F. Reactive scheduling systems. Intelligent Scheduling System 1995, 155-192. Kluwer Academic.
2. Storer R.H., Wu D.D., Vaccari R. New search spaces for sequencing instances with application to job shop scheduling. Management science 1992, 38:1495-1509.
3. Tanimizu Y., Sugimura N. A study on reactive scheduling based on genetic algorithm. Proc. of the 35th CIRP-ISMS 2002, 219-224.