TY - CONF

T1 - Development of a Learning Factory Concept for Digital Factory Planning with 3D Laser Scanning and Virtual Reality

AU - Hingst, Lennart

AU - Rieke, Leonard

AU - Nyhuis, Peter

PY - 2022/4/1

Y1 - 2022/4/1

N2 - Factories are increasingly confronted with shorter innovation and product life cycles. This uncertainty and complexity lead to changed requirements for factory planning. The replanning of production structures is becoming a permanent task. In order to remain competitive in the long term, decisions in factory planning must be made faster and in a more targeted manner. In particular, this depends on the phases establishment of the product basis and the concept planning, which involve a high effort for data collection and evaluation. The digital factory can help to perform the planning tasks in a reasonable time and in high quality. Nowadays, digital tools such as the 3D laser scanner offer new possibilities in the rapid acquisition of a consistent and reliable database as a solid planning basis. Subsequent 3D modeling and visualization in virtual reality (VR) make the planning result transparent and tangible in a way that can enhance creativity. The tools can only unfold their full potential once they are interlinked and fully integrated into the planning process. However, the necessary know-how and corresponding hardware are not available, especially among SMEs, so that the potential has not yet been fully recognized. This is where the Learning Factory of the Institute for Production Systems and Logistics (IFA) comes in with its training program to provide the necessary competencies and demonstrate possible applications of the digital factory. Recently, the IFA Learning Factory was expanded to include a 3D laser scanner and VR glasses. The implementation of the workflow - from scanning to modelling and visualization in VR - has recently been completed. The goal of this paper is to present the technical implementation and a development of a conceptual training program in order to introduce participants to the tools and impart methodological competence to exploit the potentials of digital factory planning.

AB - Factories are increasingly confronted with shorter innovation and product life cycles. This uncertainty and complexity lead to changed requirements for factory planning. The replanning of production structures is becoming a permanent task. In order to remain competitive in the long term, decisions in factory planning must be made faster and in a more targeted manner. In particular, this depends on the phases establishment of the product basis and the concept planning, which involve a high effort for data collection and evaluation. The digital factory can help to perform the planning tasks in a reasonable time and in high quality. Nowadays, digital tools such as the 3D laser scanner offer new possibilities in the rapid acquisition of a consistent and reliable database as a solid planning basis. Subsequent 3D modeling and visualization in virtual reality (VR) make the planning result transparent and tangible in a way that can enhance creativity. The tools can only unfold their full potential once they are interlinked and fully integrated into the planning process. However, the necessary know-how and corresponding hardware are not available, especially among SMEs, so that the potential has not yet been fully recognized. This is where the Learning Factory of the Institute for Production Systems and Logistics (IFA) comes in with its training program to provide the necessary competencies and demonstrate possible applications of the digital factory. Recently, the IFA Learning Factory was expanded to include a 3D laser scanner and VR glasses. The implementation of the workflow - from scanning to modelling and visualization in VR - has recently been completed. The goal of this paper is to present the technical implementation and a development of a conceptual training program in order to introduce participants to the tools and impart methodological competence to exploit the potentials of digital factory planning.

U2 - 10.2139/ssrn.4071935

DO - 10.2139/ssrn.4071935

M3 - Paper

T2 - 12th Conference on Learningn Factories

Y2 - 11 April 2022 through 13 April 2022

ER -