Design

Automated Detection of Fragile Production Behavior

Automated Detection of Fragile Production Behavior

Simple early detection of deterministic-chaotic behavior in highly available production systems
Martin Manns ORCID Icon, Denny Höhnen
Routing flexibility enables a robust, resilient design of production. However, in highly available, decentralized controlled production systems with cyclic material flow, it can reduce efficiency due to undesired deterministic-chaotic behavior. An automated method for measuring such behavior is presented. It is tested with a double conveyor belt laboratory system. An embedded system simplifies data acquisition. Results indicate that the method is usable for manual and automatic production systems. It has the potential to recognize modeling deficiencies in Industry 4.0 control with IEC 61499. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 17-21
Modeling of Robust Processes

Modeling of Robust Processes

Requirements for process modeling
Annika Lange ORCID Icon, Thomas Knothe ORCID Icon
In order to withstand disruptions manufacturing companies need to improve their robustness. In the past only infrastructures and resources were considered in the context of robustness, neglecting the interconnectedness of processes. However, a consideration of processes in the context of robustness is highly relevant. Process modeling is used for the design and analysis of processes. This paper describes the requirements for modeling methodology and evaluates existing approaches. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 62-65
Modeling Influences on the Wire Arc Additive Manufacturing Process

Modeling Influences on the Wire Arc Additive Manufacturing Process

Tim Sebastian Fischer, Lennart Grüger ORCID Icon, Ralf Woll
Wire Arc Additive Manufacturing (WAAM) is an additive manufacturing process which produces metallic components on the basis of arc welding. ISO/ASTM 52900 describes additive manufacturing as a process that creates components layer by layer from 3D model data. The basic equipment required includes a welding device, introducing the energy necessary for melting the metal wire, and a guiding machine, which traces the specified geometry of the component. Applications for WAAM include rapid prototyping and tooling, direct manufacturing and additive repair. The greatest advantages the process offers are low-cost system technology and a high deposition rate. The disadvantages of the process are the lack of process stability and exact repeatability. This article is intended to provide a clear overview of the WAAM manufacturing process, and to address its complex interactions.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | | DOI 10.30844/I4SE.23.1.80
Optimization of Line Feeding Strategy for the Assembly Line

Optimization of Line Feeding Strategy for the Assembly Line

A holistic approach for improving the intralogistics in production industry
Christina Braun, Lea Isfort
The logistics industry offers numerous opportunities for data-driven solutions, such as improving the part feeding problem in assembly line industries. A data-based approach for will lead to an improvement of cost-effectiveness through optimized processes, resource utilization, and consistent supply to the assembly line. The generated approach is a mixed integer programming model which considers limited storage space, uses constraints, and various cost factors related to transport, replenishment, and picking.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 58-61
Potentials and Application of the Industrial Metaverse

Potentials and Application of the Industrial Metaverse

Convergence from simulation to reality
Oliver Petrovic, Yannick Dassen, Christian Brecher
This paper deals with the concept of the Industrial Metaverse and its potential impact on the manufacturing industry. First, the possibilities of the Industrial Metaverse are explained in general and then possible resulting functionalities for production technology along the life cycle are presented. For the two topics "Synthetic Data Generation" and "Virtual Qualification" the implications of the Industrial Metaverse are considered more concretely.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 27-32 | DOI 10.30844/IM_23-5_27-32
Forecasting the Business Crisis in the Auto Industry

Forecasting the Business Crisis in the Auto Industry

A comparative analysis of models
Joseph W. Dörmann, Shobith Ramakrishnaiah
This paper examines various forecasting models used to predict business crises in the automotive and electronic manufacturing industries, with a focus on German companies. By comparing the performance of these models, we aim to identify the best approach for each industry. We also discuss real-world business case scenarios to demonstrate the practical implications of our findings, including the role of risk management in supply chain and procurement departments. Our results show that the most effective model for forecasting crises in the automotive industry is the VAR model, while the EWS model is best suited for the electronic manufacturing industry. Furthermore, we identify key risk factors that supply chain and procurement departments must consider enhancing their resilience in the face of crises.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 6
Process Modeling: Practice-Oriented and Methodologically Founded

Process Modeling: Practice-Oriented and Methodologically Founded

Jörg Becker ORCID Icon, Florian Schmolke ORCID Icon
Changes in the economic environment always generate new challenges for companies. In order to consider these challenges, it is necessary to have a comprehensive knowledge of the processes and a high level of transparency of the company's process organization. The process, represented in a documentation based on models, takes on a significant role as a reflection of the activities.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 5 | Pages 48-52 | DOI 10.30844/IM_23-5_48-52
Robot-Based Assembly Automation in Mid-Sized Companies

Robot-Based Assembly Automation in Mid-Sized Companies

Obstacles, drivers and implications
Aaron Zinßer, Fabian Diefenbach ORCID Icon, Arik Lämmle ORCID Icon
Production automation is well established in large companies for high volume products. But robot-based assembly automation in mid-sized companies is still in its infancy. This study uses results from 19 expert interviews and a survey to identify obstacles to and drivers of automation in this field. Among the obstacles is the low flexibility of the robotic systems. One driver for automation is the increasing shortage of skilled workers. Based on the empirical findings, the study proposes options to increase the use of automation.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 21-24 | DOI 10.30844/IM_23-4_21-24
Robust Enterprise Processes

Robust Enterprise Processes

Companies need more than robust resources
Annika Lange ORCID Icon, Thomas Knothe ORCID Icon
Whether it is the availability and costs of raw materials, energy and personnel or simply market and sales options, disruptions are increasingly influencing the business of manufacturing companies. In recent years, it has become clear that robustness, particularly in the face of a wide range of disruptions, cannot be countered by managing critical resources alone. From the authors' point of view, the design of robust corporate processes is part of the comprehensive approach. In this article, the importance of robust processes in the context of critically changing resources and infrastructures is demonstrated. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 36-39
Strategic Options for Resilient Value Chains

Strategic Options for Resilient Value Chains

Ein Vergleich lokal integrierter und global diversifizierter Alternativen
Steffen Kinkel ORCID Icon, Dennis Richter
Global supply and value chains have become increasingly complex and interconnected, exposing companies to a range of risks caused by natural disasters, political instability, or global pandemics. The paper outlines some strategic options for companies to improve the resilience of their value chains, namely expansion of local or global supply chains, regional concentration or global diversification of production capacities, and insourcing or outsourcing activities. Data of 314 German manufacturing firms is used to investigate the influence of different digital technologies and adaptable production systems.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 31-35 | DOI 10.30844/IM_23-4_31-35
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