Hybrid optimisation approach for sequencing and assignment decision-making in reconfigurable assembly lines. Issue 13 (2019)

• Record Type: Journal Article
• Authors: Maganha, Isabela; Silva, Cristovao; Klement, Nathalie; dit Eynaud, Amélie Beauville; Durville, Laurent; Moniz, Samuel
• Is Part Of: IFAC-PapersOnLine. Volume 52:Issue 13(2019)
• Page Start: 1367
• Page End: 1372
• Publication Date: 2019
• Subjects: Reconfigurable assembly systems -- Scheduling problem -- Meta-heuristics -- Hybrid optimisation; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2019.11.389
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Technological advances, promoted by the Industry 4.0 paradigm, attempt to support the reconfigurability of manufacturing systems and to contribute to adaptive operational conditions. These systems must be responsive to significant changes in demand volume and product mix. In this paper, a hybrid optimisation approach is suggested to solve sequencing and assignment problems of reconfigurable assembly lines, where mobile robots collaborate with human operators. The objectives are: i) to define 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 configurations of assembly systems, which demonstrates its applicability to solve problems in other contexts.