BPSS: a scheduling support system for the packaging industry
Operations Research
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
A genetic algorithm for flowshop sequencing
Computers and Operations Research - Special issue on genetic algorithms
Genetic algorithms for flowshop scheduling problems
Computers and Industrial Engineering
Scheduling flowshops with finite buffers and sequence-dependent setup times
Computers and Industrial Engineering
Flowshop scheduling with limited temporary storage
Journal of the ACM (JACM)
Hybrid flow shop scheduling: a survey
Computers and Industrial Engineering
Simulation in production scheduling: scheduling flow-shops with limited buffer spaces
Proceedings of the 32nd conference on Winter simulation
On Permutation Representations for Scheduling Problems
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
New heuristics for no-wait flowshops to minimize makespan
Computers and Operations Research
An effective hybrid genetic algorithm for flow shop scheduling with limited buffers
Computers and Operations Research
Simple heuristics for scheduling with limited intermediate storage
Computers and Operations Research
Modeling realistic hybrid flexible flowshop scheduling problems
Computers and Operations Research
Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints
Computers and Industrial Engineering
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
An exact approach for batch scheduling in flexible flow lines with limited intermediate buffers
Mathematical and Computer Modelling: An International Journal
Mixed integer programming for scheduling flexible flow lines with limited intermediate buffers
Mathematical and Computer Modelling: An International Journal
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
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This paper presents a genetic algorithm for an important production scheduling problem. Since the problem is NP-hard, we focus on suboptimal scheduling solutions for the hybrid flowshop with unrelated machines, sequence-dependent setup time, availability constraints, and limited buffers. The production environment of a television assembly line for inserting electronic components is considered. The proposed genetic algorithm is a modified and extended version of the algorithm for a problem without limited buffers. It takes into account additional limited buffer constraints and uses a new crossover operator and stopping criteria. Experimental results carried out on real production settings show an improvement in scheduling when the proposed algorithm is used.