Ontology-Based Skill Description Learning for Flexible Production Systems

TL;DR

This paper introduces an ontology-based semi-automatic system for generating machine skill descriptions from production logs, aiming to enhance flexible manufacturing with reduced manual effort.

Contribution

It presents a novel approach combining ontologies and inductive logic programming for automatic skill description generation in production systems.

Findings

System effectively utilizes production logs and ontologies.

Reduces manual effort in skill description creation.

Evaluates benefits and drawbacks of the approach.

Abstract

The increasing importance of resource-efficient production entails that manufacturing companies have to create a more dynamic production environment, with flexible manufacturing machines and processes. To fully utilize this potential of dynamic manufacturing through automatic production planning, formal skill descriptions of the machines are essential. However, generating those skill descriptions in a manual fashion is labor-intensive and requires extensive domain-knowledge. In this contribution an ontology-based semi-automatic skill description system that utilizes production logs and industrial ontologies through inductive logic programming is introduced and benefits and drawbacks of the proposed solution are evaluated.