Ontological Model for Managing Context-aware Assembly Instructions

Abstract

High model variance and complexity in mixed model assembly systems causes a vast amount of information. Current information systems neglect the user’s situation. Consequently, the user has to process loads of information that may be unnecessary. Information filtering and personalization are for this reason indispensable. By marking assembly instructions with context information, content filtering can be applied. Based on current research in several manual assembly environments in Flanders, a generic ontological model for managing all assembly related context is designed. The model consists of eight categories that define the four main domain context categories (people, places, things and work tasks) and their interrelationships (experience, condition, use and requirement). In order to validate the context model, an experimental approach on a lab set-up is proposed.