Applying MILP/Heuristic algorithms to automated job-shop scheduling problems in aircraft-part manufacturing

Artículo

Autoría

Aguirre, Adrian Marcelo ; MENDEZ, CARLOS ALBERTO ; García Sanchez, Alvaro ; Ortega Mier, Miguel

Fecha

2013

Editorial y Lugar de Edición

Universidad Nacional de Santa Catarina

Revista

Iberoamerican Journal of Industrial Engineering, vol. 5 (pp. 26-41) Universidad Nacional de Santa Catarina

Resumen Información suministrada por el agente en SIGEVA

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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Palabras Clave

Real-world applications in aircraft-part fabrication processJob-shop Scheduling problemsAutomated Manufacturing SystemsMILP-based algorithm.

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http://hdl.handle.net/11336/8565