Applying lean can boost a firm’s performance significantly by focusing on value-adding activities. Additionally, Industry 4.0 is regarded as another promising trend in industry. Combining these developments resulted terms like "lean 4.0". However, the existing literature lacks comprehensive and detailed conjunction of both paradigms. This paper builds upon this research gap with twofold aim: Firstly, target to build groundwork conclude whether management complement each other. Secondly, work...

Virtual Commissioning increases quality and efficiency in production engineering whilst also decreasing required time. Even though it is a foundation for state-of-the-art systems, not widespread use yet. In this contribution, an overview of current scientific approaches cases given. Furthermore, additional fields interest are derived detailed on exploratory cases. The findings show that crucial factor to advanced, sustainable systems as well cornerstone the Digital Twin.

Recent trends like autonomous driving, natural language processing, service robotics or Industry 4.0 are mainly based on the tremendous progress made in field of machine learning (ML). The increased data availability coupled with affordable computing power and easy-to-use software tools have laid foundation for using such algorithms a wide range industrial applications, e.g. predictive maintenance, quality vision. However, systematic guideline identifying implementing economically viable ML...

In a world of growing electrification, the demand for high-quality, well-optimized electric motors continues to rise. The hairpin winding is one such optimization, improving slot-fill ratio and handling during production. As this technology leads high amount contact points, special attention drawn contacting processes, with laser welding being promising choice. challenge now make process more stable by means advanced methods quality monitoring. Therefore, paper proposes novel, cost-efficient...

Artificial intelligence (AI) is the overall term for technologies used to build intelligent systems, no matter whether utilized in an industrial or private environment. However, hardly any AI-based approaches have been proposed increasingly important electric drives production yet. By identifying and presenting exemplary application scenarios knowledge-based systems (KBS) machine learning (ML), paper serves as a starting point further research respective fields. Among others, systematic...

Industry 4.0 (I4.0) is accompanied by a variety of technologies which offer great potential for optimizing the manufacturing electric motors. However, application I4.0 in this sector has hardly been examined yet. For determining potentials motor production, structured approach required since sub-processes and production results vast number possible combinations. Therefore, paper first compares different generic approaches identifying, selecting implementing use cases. Building on this,...

Driven by current developments in the electrification of automotive drive chain, new technologies for production windings electric drives are focused industry and research institutes. Especially manufacturing with high power density battery vehicles (BEV), application distributed produced from conductors rectangular cross-sections gains importance. To be able to manufacture these windings, hairpin technology is pushed forward at present. The essential feature this kind winding that it...

The abundance of data has given machine learning considerable momentum in natural sciences and engineering, though modeling physical processes is often difficult. A particularly tough problem the efficient representation geometric boundaries. Triangularized boundaries are well understood ubiquitous engineering applications. However, it notoriously difficult to integrate them into approaches due their heterogeneity with respect size orientation. In this work, we introduce an effective theory...

Machine learning (ML) is a key technology in data driven industries. In general, ML algorithms offer insight complex processes by analyzing measured without acquiring in-depth domain knowledge. contrast to common physical simulations they do not require excessive computational time and are well suited for real analysis. This study focuses on transferring the potential of production electric drives. Three major issues identified: preprocessing data, dealing with small sets selection an...

Digitization within the framework of Industry 4.0 is considered biggest and fastest driver change in history manufacturing industry. While size a company becoming less essential, ability to adapt quickly changing market conditions new technologies more important than ever. This trend particularly applies companies' software landscapes, where individual sub-processes services must be orchestrated, seamlessly integrated, iteratively renewed according ever-increasing user requirements. However,...

Machine learning (ML) is a key technology in smart manufacturing. In contrast to common physical simulations, ML algorithms offer insight into complex processes without requiring in-depth domain knowledge. Within the electric drives production, innovative contacting such as ultrasonic crimping are difficult model and control. Thus, this paper transfers potential of abovementioned manufacturing process presents conceptual design an intelligent process. To validate proposed architecture,...

Microservice (MS) architectures, especially in combination with micro front ends, are a modern, scalable and sustainable approach to software development. The modular development of individual components the possibility simple, collaborative iterative represent strategic advantage for companies. In addition, MS allows consistent use current technologies, whereby new functionalities can constantly be included. this paper, potentials engineering tools shown using example web-based configurator...

With the increasing degree of digitalization in manufacturing industry, advanced data analysis techniques such as machine learning (ML) are moving into focus. In several production processes like machining or welding, ML applications already show high potential for process monitoring, optimization, control. Although screw fastening and press-in frequently employed modern assembly lines, there only few research approaches addressing application so far. Therefore, this paper starts with an...

Industry 4.0 is associated with numerous technologies, which offer great potential for optimizing linear winding processes as used in electric motor manufacturing. To further increase flexibility and quality the production of mass products like coils, data-driven techniques such machine learning (ML) are increasingly moving into focus. generate required data, however, machines must be equipped suitable sensors. Accordingly, this paper will first present all known influencing parameters based...

The development and production of electric drives as mechatronic products involve several engineering domains. With increasing complexity the individual parts, frequently shifting customer requirements ever shorter cycles, integrated approaches are continuing to grow in importance. In this context, an interdisciplinary design methodology supports mastering creating independence from project managers' varying competencies. There already more general for covering entire car. However, drives,...

Machine learning has often proven superior to traditional white-box modeling in industrial application scenarios. Yet the determinism finding a solution close theoretical optimum is low due human factors development process. Automated machine (AutoML), on other hand, allows complete automation of pipeline from feature extraction and preprocessing model selection hyperparameter optimization. Using popular open dataset, this paper exemplifies how AutoML can streamline data-driven applications....

Optical coherence tomography (OCT) is increasingly being used to monitor and control laser-based welding processes. With the ability provide pre-, in-, post-process data, OCT represents a holistic sensor solution for advanced process monitoring seam tracking. A prospective field of application laser rectangular copper wires so-called hairpin stators as in electric traction motors. For each stator, large number high-quality contact points must be welded short cycle time. The quality weld not...

The high complexity of today's automation solutions often raises integration costs to an uneconomic level, particularly for small and medium-sized enterprises. Analyzing the total solutions, engineering efforts account largest share. However, potentials time cost savings as well quality improvements by reusing existing knowledge are usually not exploited in industrial practice. In this context, knowledge-based configurators most popular expert systems present opportunity automate creation...

Kurzfassung Der vorliegende Beitrag vergleicht Six-Sigma- und Data-Mining-Methoden im Hinblick auf das Null-Fehler-Management in Produktionsprozessen. Darauf aufbauend wird ein Six-Sigma-4.0-Prozessmodell abgeleitet, die Stärken beider Ansätze vereint somit einen Handlungsleitfaden für Verbesserungsprojekte Rahmen der Indus-trie 4.0 bereitstellt. Das vorgestellte Six-Sigma-4.0-Modell Zuge eines Verbesserungsprojekts Bereich Elektronikproduktion validiert.

Automatic optical inspection (AOI) of solder joints is a common testing process in electronics production. Especially power production for electric drive systems, such systems are employed quality control selective soldering processes through-hole devices. Up to now, commercial rely on rule-based programming the determination quality. However, this approach demands expert knowledge setup and very susceptible changes input data. To avoid error slip, thresholds often defined strictly,...

Abstract In subtractive manufacturing, differences in machinability among batches of the same material can be observed. Ignoring these deviations potentially reduce product quality and increase manufacturing costs. To consider influence batch process optimization models, needs to efficiently identified. Thus, a smart service is proposed for in-situ identification. This driven by supervised machine learning model, which analyzes signals machine’s control, especially torque data,...

Kurzfassung Die Verbreitung der Elektromobilität in Deutschland liegt nach wie vor hinter den Zielen und Erwartungen von Politik Gesellschaft zurück. Bisherige Hemmnisse Mobilitätswende sind allem die relativ hohen Anschaffungskosten Elektroautos, politisch sanktionierten Strompreise, begrenzten Reichweiten sowie noch wenig komfortable Ladevorgang. Dem stehen wiederum zahlreiche Treiber überlegene Wirkungsgrad, das emissionsfreie Fahren, Schonung fossiler Ressourcen beeindruckende Fahrspaß...

Due to the growing individualization and ever shorter product life cycles, engineering of automation solutions is facing increasing challenges. The rethinking common processes inclusion knowledge-based approaches are considered inevitable. However, existing optimization measures often do not meet actual problems as many in academics still too immature for practical use. Therefore, a rather simple procedure knowledge-intensive presented here, mainly relying on incremental, tool-based creation...

In the production of electric motors, various manufacturing imperfections occur. These production-related deviations influence product characteristics concerning power output, efficiency, vibration, noise and lifetime. However, measures to minimize are involved with several challenges such as additional measurements, advanced process control above all costs. Thus, benefit possible improvement has be carefully evaluated since not every deviation a significant impact on quality. Consequently,...

Manufacturers of large electric motors, whether for automation or traction purposes, are facing major challenges in high-wage countries. Due to the high proportion manual activities, a conflict between ensuring profitability and increasing variant variety arises. In order meet demand motors maintain value added countries, manufacturing processes must be automated, at least partially. For with form coil technology, especially assembly into laminated stator core represents tedious,...