Simulation

Digital Product Optimisation for the Use of Additive Manufacturing

Digital Product Optimisation for the Use of Additive Manufacturing

Michael Wahl, Martin Bonenberger, Julian Morbach, Adrian Huwer ORCID Icon, Lauri Hoffmann
Additive manufacturing, i.e. the printing of three- dimensional workpieces from different materials, offers the possibility of quickly producing functional prototypes. Digital optimisation is an important building block for the rapid implementation of functional product ideas. Based on digital models, the product is virtually optimised and continuously improved. Once the product has been digitally optimised in terms of its properties, it is checked and, if necessary, adapted for additive manufacturing. The product is then manufactured, reworked and finally tested. The article shows the optimisation possibilities using the example of a dispenser from the food industry. An existing component is digitised, a flow optimisation is carried out on the digital model and the improved product is additively manufactured.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 25-29 | DOI 10.30844/IM_22-5_25-29
Multidimensional Maturity Model for Digital Twins

Multidimensional Maturity Model for Digital Twins

Method for Systematic Classification and Assessment
Michael Lütjen ORCID Icon, Eike Broda, Jan-Frederik Uhlenkamp, Jasper Wilhelm, Michael Freitag ORCID Icon, Klaus-Dieter Thoben ORCID Icon
Digital twins are an important part of the Industry 4.0 idea. They mirror physical goods in the digital world and enhance them with additional capabilities and functions for analysis, forecasting and decisionmaking. This paper contributes to the classification and assessment of Digital Twins using a multidimensional maturity model. The presented method "DT-Assess" enables an application-specific assessment of Digital Twins. The developed maturity model consists of seven categories with a total of 31 characteristics to be evaluated. The systematic evaluation in five application scenarios allows, for the first time, a classification of the respective "digital twin" implementation or concept with the aim of identifying further development options and weaknesses.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 5 | Pages 7-11
Virtual Reality-Based Training in Industry

Virtual Reality-Based Training in Industry

Current Technical Requirements and Challenges
Benjamin Knoke, Moritz Quandt, Michael Freitag ORCID Icon, Klaus-Dieter Thoben ORCID Icon
This paper focuses on the investigation of current technical challenges in the context of industrial Virtual Reality (VR)-based training applications. This paper analyzes the current state of the art of industrial VR applications and provides a structured overview of the existing technical challenges. The identified challenges are discussed based on an industrial training scenario for the safe handling of electrical components.
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 45-48
Container Terminal Automation − Success Factors for the Management of Straddle Carrier Automation

Container Terminal Automation − Success Factors for the Management of Straddle Carrier Automation

Erfolgsfaktoren für das Management der Automatisierung von Straddle Carriern
Sebastian Eberlein, Stephan Oelker, Serge Jacovis, Vanessa Beckmann, Michael Freitag ORCID Icon
Efficiency in container terminal operations is key for competitiveness. Many large German terminals use the flexible but relatively risk-laden manned straddle carriers (SCs). The research project STRADegy evaluated the reliability and profitability of automated SCs in northern-German container terminals via a combination of a pilot installation and an emulation at the container terminal in Wilhelmshaven. Parallel to that, rollout-guidelines were developed. This paper introduces central results regarding a successful rollout of auto-SC-systems.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 6 | Pages 6-10
Energy-Efficient Planning of Value-Added Networks

Energy-Efficient Planning of Value-Added Networks

Integration von Energieeffizienz in die strategische Gestaltung von Produktions- und Logistiknetzwerken
Lucas Schreiber, Lea Vliegen, Jan-Philipp Jarmer, Andreas Günter, Christian Hohaus, David Grimm, Andrea Vennemann, Christian Fischer
When selecting a new refrigerator, energy efficiency is a decisive selection criterion. However, in the strategic and tactical planning of value-added networks, this is not yet the case. The E²-Design-toolbox enables energy efficiency to be considered in the planning process of production and logistics networks, in addition to the classic performance and cost variables. The early integration allows to draw on the overall potential. This paper presents the underlying energy data, the optimization modules, and the user’s perspective.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 4 | Pages 51-54 | DOI 10.30844/I40M_21-4_S51-54
Project LoTuS – Energetic Optimization of Parts Drying

Project LoTuS - Energetic Optimization of Parts Drying

Projekt LoTuS: Ansätze zur energetischen Optimierung von Reinigungsanlagen mit integrierter Trocknung
Ghada Elserafi, Adrian von Hayn, Matthias Weigold
Due to rising quality requirements in the metalworking industry, parts drying has been gaining significance, leading to the increasing importance of reducing the energy consumption of drying processes. Therefore, the LoTuS project investigates different approaches to increase drying efficiency. Along with alternative drying technologies, process digitization is employed to provide sufficient transparency for part-specific drying. Using sensor data, artificial intelligence is utilized for process monitoring. Peak demand is further reduced by implementing load management techniques.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 4 | Pages 8-11 | DOI 10.30844/I40M_21-4_S8-11
Iterative Optimization-based Simulation

Iterative Optimization-based Simulation

Decision Support for Adjustments in Complex Production and Logistics Systems
Patrick Oetjegerdes ORCID Icon, Christian Weckenborg ORCID Icon, Thomas S. Spengler
Simulation is frequently used for prediction of the outcome of adjustments in production systems. Real decision processes must be represented in the simulation. To achieve this, complex real decision processes have to be transferred into the simulation. This leads to a high effort for the creation of simulation models. This is resolved by the concept of iterative optimization-based simulation. Instead of transferring complex decision processes into the simulation, the predicted parameters are exported and existing decision processes determine a solution.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 1 | Pages 63-66 | DOI 10.30844/I40M_21-1_S63-66
Self-loading Workstation Systems in Logistics

Self-loading Workstation Systems in Logistics

Networked Workstation System for Proactive Bottleneck Avoidance within Demanding Intralogistics Processes
Patrick Adler, Holger Dander ORCID Icon, Gerd Witt
Modern logistic processes are still characterized by manual labour. In general, mainly unqualified or low-skilled employees are used to carry out value-added services. Individual workloads, employee skills and technical workplace equipment are linked in a developed system. By simulating the effect of changes in workplace equipment, optimizations can be identified. The self-developed algorithm can also be used in other industries.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 5 | Pages 29-32
High Performance Technology for SMEs

High Performance Technology for SMEs

Wie auch kleine und mittlere Unternehmen Simulationstechnologien nutzen können
Andreas Wierse
Efficient product development can be a decisive factor in a company’s competition - it quickly falls behind who has to cope without simulation technologies. For large companies, these have long since become part of everyday life. But for small and medium-sized companies, they often remain wishful thinking for reasons of capacity and know-how. But: They, too, can benefit from the advantages of simulation with the right support and appropriate training programs.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 61-64
Modeling and Simulation of Complex Systems with Annotated JavaScript

Modeling and Simulation of Complex Systems with Annotated JavaScript

Stefan Bosse
Designing and simulating complex mechatronic and distributed intelligent systems requires a unified system modeling and programming language. This paper presents JavaScript as a unified modeling and programming language by extending JavaScript with a semantic type system JST to bridge the gap between models and implementations. The result is the JS+ Superset language, which combines typing, modeling and programming. Different model domains and their relation to the JS+ programming model including some generic transformation rules are shown using the example of a sensory material. Finally, the multidomain simulation tool SEJAM is introduced, which combines physical and data processing simulation with agents.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 1 | Pages 47-52
1 3 4 5 12