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

Adrián Marcelo Aguirre, Carlos Alberto Méndez, Álvaro García-Sánchez, Miguel Ortega-Mier


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.


MILP-based algorithm; Automated manufacturing systems; Job-shop scheduling problems; Real-world applications in aircraft-part fabrication pocess

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