Science and Technology Production
Article
Authorship
Aguirre, Adrian Marcelo
;
MENDEZ, CARLOS ALBERTO
;
García Sanchez, Alvaro
;
Ortega Mier, Miguel
Date
2013
Publishing House and Editing Place
Universidad Nacional de Santa Catarina
Magazine
Iberoamerican Journal of Industrial Engineering,
vol. 5
(pp. 26-41)
Universidad Nacional de Santa Catarina
Summary
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This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) and heuristic strategies for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative a solution approach of production and transportation operations in a multi-product multi-stage production system that can be used to solve industrial-scale problems with a reasonable computational effort. The MILP model developed must take into account; het...
This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) and heuristic strategies for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative a solution approach of production and transportation operations in a multi-product multi-stage production system that can be used to solve industrial-scale problems with a reasonable computational effort. The MILP model developed must take into account; heterogeneous recipes, single unit per stage, possible recycle flows, sequence-dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, heuristic-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems arising in the surface-treatment process of metal components in the aircraft manufacturing industry.
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Key Words
Real-world applications in aircraft-part fabrication processJob-shop Scheduling problemsAutomated Manufacturing SystemsMILP-based algorithm.
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