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

Duc Anh Le, Stéphanie Roussel, Christophe Lecoutre

Abstract: 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.

External IDs:dblp:conf/cp/Le0L25