Improvement of the Pick-and-place sequence through the application of Binary Integer Linear Programming

J. Borrell Méndez, C. Pérez Vidal, J. V. Segura Heras

This study focuses on optimizing pick-and-place operations by a collaborative dual-arm robot in the footwear manufacturing industry. The robot identifies shoe components on a tray with random positions and angles, requiring an optimized sequence. A Binary Integer Linear Programming (BILP) model is developed to determine the optimal component selection sequence. The model handles multiple components (n) and analyzes 250 trays. Results are compared with a decision tree, revealing BILP's advantages in planning movements in a complex environment with multiple trajectories and potential collisions. BILP reduces operation times, improving production efficiency in footwear manufacturing.

Palabras clave: Optimizing, Pick-and-Place Operations, Collaborative Robot, Footwear manufacturing, BILP model

Optimización Entera y Combinatoria
8 de noviembre de 2023  17:20
CC2: Sala Conferencias

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