Optimizing automotive manufacturing sequences using simulated annealing and genetic algorithms

Wolfgang Mergenthaler; W. Stadler; H. Wilbertz; N. Zimmer

doi:10.1016/0967-0661(95)00030-x

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Optimizing automotive manufacturing sequences using simulated annealing and genetic algorithms

Wolfgang Mergenthaler W. Stadler H. Wilbertz N. Zimmer

Year: 1995 Journal: Control Engineering Practice Vol: 3 (4)Pages: 569-573 Publisher: Elsevier BV

DOI: 10.1016/0967-0661(95)00030-x

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Keywords:

Automotive industry Workload Simulated annealing Flexibility (engineering) Genetic algorithm Variety (cybernetics) Computer science Sequence (biology) Mathematical optimization Engineering Algorithm Industrial engineering Manufacturing engineering Mathematics Artificial intelligence Statistics

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Citation History

Topics

Manufacturing Process and Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Assembly Line Balancing Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Optimizing automotive manufacturing sequences using simulated annealing and genetic algorithms

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Citation History

Topics

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