String Diagrams for Assembly Planning

TL;DR

This paper introduces CompositionalPlanning, a string diagram-based framework that integrates CAD, planning, and scheduling to automatically generate and evaluate assembly plans, demonstrated on LEGO models.

Contribution

It presents a novel string diagram approach for assembly planning that unifies constraints and automates plan generation and simulation.

Findings

Optimized assembly plans reduce build time in LEGO models.

Framework effectively integrates CAD, planning, and simulation.

Versatile approach applicable to different assembly domains.

Abstract

Assembly planning is a difficult problem for companies. Many disciplines such as design, planning, scheduling, and manufacturing execution need to be carefully engineered and coordinated to create successful product assembly plans. Recent research in the field of design for assembly has proposed new methodologies to design product structures in such a way that their assembly is easier. However, present assembly planning approaches lack the engineering tool support to capture all the constraints associated to assembly planning in a unified manner. This paper proposes CompositionalPlanning, a string diagram based framework for assembly planning. In the proposed framework, string diagrams and their compositional properties serve as the foundation for an engineering tool where CAD designs interact with planning and scheduling algorithms to automatically create high-quality assembly plans. These assembly plans are then executed in simulation to measure their performance and to visualize their key build characteristics. We demonstrate the versatility of this approach in the LEGO assembly domain. We developed two reference LEGO CAD models that are processed by CompositionalPlanning's algorithmic pipeline. We compare sequential and parallel assembly plans in a Minecraft simulation and show that the time-to-build performance can be optimized by our algorithms.