An optimization algorithm for the multi-objective flexible fuzzy job shop environment with partial flexibility based on adaptive teaching–learning considering fuzzy processing times

Production scheduling is a critical factor to enhancing productivity in manufacturing engineering and combinatorial optimization research. The complexity and dynamic nature of production systems necessitates innovative solutions. The Job Shop Flexible Programming Problem (FJSP) provides a realistic...

Full description

Autores:

Jiménez Tovar, Mary
Acevedo-Chedid, Jaime
Ospina-Mateus, Holman
Salas-Navarro, Katherinne
Sankar Sana, hib

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10491

Acceso en línea:

https://hdl.handle.net/11323/10491
https://repositorio.cuc.edu.co/

Palabra clave:

Flexible job-shop
Teaching–learning-based optimization
Fuzzy processing times
Hybrid algorithm

Rights

embargoedAccess

License

Atribución 4.0 Internacional (CC BY 4.0)