Communication Dans Un Congrès Année : 2025

Aircraft Resource-Constrained Assembly Line Balancing with Learning Effect : a Constraint Programming Approach

Résumé

Balancing aeronautical assembly lines is a major challenge in modern aerospace manufacturing. Aircraft manufacturing plants typically have a predetermined production rate, but the production system requires a period of adaptation at start-up. This phenomenon, known as the learning effect, refers to the gradual improvement in efficiency through task repetition, thereby reducing task duration. However, the stability of an assembly line is also a critical factor, as any change in the production process incurs costs. In this study, Constraint Programming (CP) is used to optimise assembly line balancing, taking into account the learning effect to address the trade-off between achieving target production rates and minimising adjustments to the line.

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Cite 10.57745/EBDN5W Jeu de données Le, Duc Anh, 2025, "Dataset for the Assembly Line Balancing Problem with Learning Effect", https://doi.org/10.57745/EBDN5W, Recherche Data Gouv, V1

Aircraft assembly line benchmarks — 187 tâches

Dates et versions

hal-05235135 , version 1 (02-09-2025)

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Duc Anh Le, Stéphanie Roussel, Christophe Lecoutre. Aircraft Resource-Constrained Assembly Line Balancing with Learning Effect : a Constraint Programming Approach. CP 2025 - 31rst International Conference on Principles and Practice of Constraint Programming, Aug 2025, Glasgow, United Kingdom. ⟨10.57745/EBDN5W[25]⟩. ⟨hal-05235135⟩
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