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Forschungsfelder: → Simulation und Entwicklung von moderner Leistungselektronik und deren Regelungsverfahren → Analyse der Wechselwirkung zwischen leistungselektronischen Komponenten und dem elektrischem Energieversorgungsnetzes → Regelung von dezentralen und erneuerbaren Energiequellen sowie fl exiblen Lasten zur Unterstützung der Netzstabilität → Bewertung und Optimierung der Energieeffi zienz in der Produktionstechnik www.ie3.tu-dortmund.

The more and more rising complexity of the industrial environment is triggering companies in a way that is more challenging than ever before. Not only are factory planning projects difficult to handle because of the dynamics and complexity also the necessary planning of the accompanied building gets more and more difficult. To handle this complexity and reduce time and effort for planning as a major factor of success the mainly separately done planning aspects needs to be synchronized. This paper will show an approach of a hybrid factory-building planning method in order to be able to shorten planning time and effort. By using a constraint solving technique the necessary planning tasks are aligned partly automatically and will be processed as a useful planning workflow in form of a gantt diagram for the overall project management.

Increasing and changing product requirements demand a permanent readiness for efficient factory adaption. Considering necessary construction adaptions as well as conventional construction planning processes in the context of the factory adaptation process, standard planning methods are unable to support in a fast and efficient way. By application of the BIM method a Building Information Model, which contains all the needed information in one database is generated. BIM is a method for achieving targets, such as selecting the right type of construction technology or building material to evaluate the adaptation measure. The challenges by putting all information in one model are dealing with the amounts of data, identifying data quality and determining the current use case which should be examined. In this publication, the necessary data base is identified and implemented into a Building Information Model to investigate the right fastening system for an Industry 4.0 case study. The use case describes an integration of a robot into a factory in the life cycle phase operation to evaluate, which fastening system is most suitable as a part of taking adaption intelligence of a building to a higher level.

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