Application of genetic algorithm to job scheduling under ergonomic constraints in manufacturing industry
This research proposes a mathematical model of the problem of job rotation considering ergonomic aspects in repetitive works, lifting tasks and awkward postures in manufacturing environments with high variability. The mathematical model is formulated as a multi-objective optimization problem integra...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9144
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9144
- Palabra clave:
- Ergonomic constraints
Genetic algorithm
Job rotation
Manufacturing
Combinatorial optimization
Ergonomics
Genetic algorithms
Industrial research
Manufacture
Multiobjective optimization
Occupational risks
Scheduling algorithms
Combinatorial optimization problems
Computational time
Job rotation
Manufacturing environments
Manufacturing industries
Multi-objective optimization problem
Non- dominated sorting genetic algorithms
Similar solution
Computational efficiency
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/