Active role-based database system for factory planning

Abstract

The globalization of markets and the paradigm shift to mass customization lead to a turbulent planning environment. For companies, this results in an increased planning frequency and an increased volume of planning data in the factory planning process. Solutions are the concepts of the Digital Factory and the Digital Shadow. In the context of these two concepts, database systems must be integrated into systematic planning tools in order to make continuous and active use of factory planning knowledge and to reduce the amount of data to the required. Against this background, the paper proposes a concept for the development of an active role-based database system that converts information from various sources into manageable restrictions and filters them by assigning them to the relevant planning phase and to the responsible employee in the company. To validate the concept, the database system is integrated in a factory planning table. A use case shows, that in combination with the planning table, the database system reduces the planning time of factories and at the same time improves planning quality by integrating stored planning knowledge.