Digitalization and optimization in the planning of aeronautical assembly lines

Digitalization is transforming the way industries manage complex processes, such as the planning and optimization of assembly lines. In the aeronautical sector, where standards of precision and efficiency are extremely high, the use of advanced digital tools is essential to overcome the challenges associated with task scheduling, resource management, and meeting tight deadlines.

The paper «Large Neighborhood Search for an Aeronautical Assembly Line Time-Constrained Scheduling Problem with Multiple Modes and a Resource Leveling Objective» addresses one of these challenges: the efficient scheduling of assembly lines under time and resource constraints. The study proposes the use of three approaches: MILP, constraint programming, and a variant of the heuristic LNS (Large Neighborhood Search) to tackle complex scheduling problems that include multiple operations modes and resources leveling objectives.

The implementation of digital methodologies like LNS allows aeronautical companies to manage limited resources more effectively, minimizing downtime and optimizing task allocation on assembly lines. This approach not only improves productivity but also enables a swift response to unexpected changes in planning or resource availability.

Furthermore, the paper highlights how digital tools, duch as advanced algorithms and simulation systems, are essential for handling large-scale problems with multiple constraints and variables. These digital solutions provide planners with a more robust framework to make data-driven decisions and enhance operational efficiency.

In summary, the study illustrates how digitization, combined with innovative techniques like LNS, can revolutionize the scheduling of aeronautical assembly lines, achieving an optimal balance between efficiency, flexibility, and resource utilization.