A MIN-MAX PATH APPROACH FOR BALANCING ROBOTIC ASSEMBLY LINES WITH SEQUENCE-DEPENDENT SETUP TIMES - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

A MIN-MAX PATH APPROACH FOR BALANCING ROBOTIC ASSEMBLY LINES WITH SEQUENCE-DEPENDENT SETUP TIMES

Résumé

We deal in this paper with SDRALBP-2, namely the Sequence-Dependent Robotic Assembly Line Balancing Problem of type 2. The problem is of industrial relevance due to the growing robotization of the assembly lines in the new Industry 4.0 era. Given a set of operations that are necessary to assembly a product and a set of robot types with different performances, the problem is concerned with addressing three decision problems simultaneously while minimizing a given objective. The first decision is to assign the operations to a given set of stations placed in a straight line [Balancing decision], the second decision is to sequence the operations in each station due the sequence-dependent setup times [Sequencing decision] and the third decision is to assign a robot to each station [Equipment selection decision]. We consider the objective of minimizing the cycle time, which is the maximum duration spent by a product in some station. We propose in this paper a method of type Sequence-First Balance-And-Select-Second. The proposed method embeds a dynamic programming algorithm (that solves a polynomial case) in a metaheuristic. Benchmark instances are used to evaluate the proposed method.
Fichier principal
Vignette du fichier
MOSIM2020_67.pdf (366.97 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03178123 , version 1 (23-03-2021)

Identifiants

  • HAL Id : hal-03178123 , version 1

Citer

Y Lahrichi, L. Deroussi, N Grangeon, S Norre. A MIN-MAX PATH APPROACH FOR BALANCING ROBOTIC ASSEMBLY LINES WITH SEQUENCE-DEPENDENT SETUP TIMES. 13ème CONFERENCE INTERNATIONALE DE MODELISATION, OPTIMISATION ET SIMULATION (MOSIM2020), 12-14 Nov 2020, AGADIR, Maroc, Nov 2020, AGADIR, Morocco. ⟨hal-03178123⟩
31 Consultations
49 Téléchargements

Partager

Gmail Facebook X LinkedIn More