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Hybrid optimisation approach for sequencing and assignment decision-making in reconfigurable assembly line

By Isabela MAGANHA, Cristóvão SILVA, Nathalie KLEMENT, Amélie BEAUVILLE DIT EYNAUD, Laurent DURVILLE and Samuel MONIZ


Technological advances, promoted by the Industry 4.0 paradigm, attempt to support the recon gurability of manufacturing systems and to contribute to adaptive operational conditions. These systems must be responsive to signi cant changes in demand volume and product mix. In this paper, a hybrid optimisation approach is suggested to solve sequencing and assignment problems of recon gurable assembly lines, where mobile robots collaborate with human operators. The objectives are: i) to de ne a schedule of jobs, ii) to assign tasks to the mobile robots, and iii) to decide the allocation of robots to workstations, in order to minimise the number of robots required. Preliminary results show that the proposed methodology can make an efficient robot allocation under high demand variety. In addition to that, the hybrid optimisation approach can be adapted to other con gurations of assembly systems, which demonstrates its applicability to solve problems in other contexts

Topics: Reconfigurable Assembly Systems, Scheduling Problem, Meta-heuristics, Hybrid optimisation, Sciences de l'ingénieur
Year: 2019
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