Refine
Has Fulltext
- no (225) (remove)
Year of publication
Document Type
- Article (144)
- Monograph/Edited Volume (26)
- Part of a Book (21)
- Conference Proceeding (20)
- Other (7)
- Contribution to a Periodical (5)
- Doctoral Thesis (1)
- Review (1)
Keywords
- Industry 4.0 (5)
- knowledge management (5)
- ERP (4)
- Industrie 4.0 (4)
- CPPS (3)
- CPS (3)
- deep reinforcement learning (3)
- digital learning (3)
- evaluation (3)
- industry 4.0 (3)
- knowledge transfer (3)
- learning factories (3)
- learning factory (3)
- production control (3)
- vocational training (3)
- COVID-19 (2)
- Digitale Plattformen (2)
- Digitalisierung (2)
- Enterprise Resource Planning (2)
- Hinweisreize (2)
- Internet of Things (2)
- Internet of things (2)
- JSP (2)
- KMU (2)
- Lernfabrik (2)
- Simulation (2)
- action problems (2)
- assessment (2)
- augmented reality (2)
- business processes (2)
- intentional forgetting (2)
- knowledge transfers (2)
- machine learning (2)
- modular production (2)
- multi-agent system (2)
- neural networks (2)
- process modelling (2)
- product generation engineering (2)
- serious game (2)
- systematic literature review (2)
- tacit knowledge (2)
- 4th industrial revolution (1)
- AI and business informatics (1)
- AI-based decision support system (1)
- Adaptation (1)
- Adaptivität (1)
- Altsyteme (1)
- Analytics (1)
- Anpassung (1)
- Anpassungsfähigkeit (1)
- Anwendungssystemarchitekturen (1)
- Anwendungszentrum Industrie 4.0 (1)
- Architecture concepts (1)
- Assistenzsysteme (1)
- Audit (1)
- Augmented reality (1)
- Auswahlvorgehen (1)
- Automatisierung (1)
- Behavior (1)
- Bewertung (1)
- Blockchain (1)
- CO₂-Fußabdruck (1)
- Case Study (1)
- Change (1)
- Coring (1)
- Cross-System (1)
- Crowdsourcing (1)
- Customization (1)
- Cyber-phyiscal system (1)
- Cyber-physical systems (1)
- Decentral Decision Making (1)
- Decentralized production control (1)
- Degree of autonomy (1)
- Digital Learning Factory (1)
- Digital Marketplaces (1)
- Digital Platforms (1)
- Digitalisierung von Produktionsprozessen (1)
- Digitization (1)
- ERP system (1)
- ERP-Auswahl (1)
- ERP-System (1)
- ERP-Systeme (1)
- Enterprise Resource Planning (ERP) System (1)
- Enterprise System (1)
- Enterprise-Resource-Planning (1)
- Fabriksoftware (1)
- Factory operating system (1)
- GHG Protocol (1)
- Generalized knowledge constructin axiom (1)
- Geschäftsmodell (1)
- Geschäftsmodelle (1)
- ISO 14067 (1)
- Industrial Analytics (1)
- Industrial IoT Competences (1)
- Intentional forgetting (1)
- Invidiuallösungen (1)
- KI (1)
- KI-ERP-Indikator (1)
- KVP (1)
- Kaizen (1)
- Klassifikationsschema (1)
- Kompetenzentwicklung (1)
- Konsens-Algorithmen (1)
- Künstliche Intelligenz (1)
- Learning Factory (1)
- Lehr-Lernsituationen (1)
- Lernszenario (1)
- Literature Review (1)
- MES (1)
- Maschinen- und Anlagenbau (1)
- Meta-model (1)
- Mobile IIoT-Technologie (1)
- Mobile Software Ecosystems (1)
- Modellfabrik (1)
- Modification (1)
- Nachhaltigkeit (1)
- Open innovation (1)
- PAS 2050 (1)
- Problems (1)
- Process Mining (1)
- Process modeling (1)
- Production (1)
- Production system (1)
- Produktions-Routine (1)
- Professional Services Unternehmen (1)
- Projektmanagement (1)
- Prozessintegration (1)
- Prozessmanagement (1)
- Prozesswissen (1)
- Qualität (1)
- RFID (1)
- RPA (1)
- Refabrikation (1)
- Regionale Ansätze (1)
- Remanufacturing (1)
- Research Agenda (1)
- Retrieval cues (1)
- Roadmap (1)
- Robotic Process Automation (1)
- SECI-model (1)
- SMEs (1)
- Simulation process building (1)
- Spielifizierung (1)
- Strategie (1)
- Student Training (1)
- Subject-oriented learning (1)
- Systematisches Vorgehen (1)
- Systemauswahl (1)
- TAM (1)
- Tailoring (1)
- Task realization strategies (1)
- Three-tier Architecture (1)
- Unternehmen (1)
- Unternehmensberatung (1)
- Use cases Morphologic box (1)
- Verbesserungen (1)
- Verbesserungsprozess (1)
- Verhalten (1)
- Veränderung (1)
- Vocational Training (1)
- Weiterbildung (1)
- Willentliches Vergessen (1)
- Wirtschaftsinformatik (1)
- Zentrum Industrie 4.0 (1)
- adaptability (1)
- adaptable software systems (1)
- adaptive performance (1)
- advances in teaching and learning technologies (1)
- age-appropriate competence development (1)
- age-appropriate vocational training (1)
- application center Industrie 4.0 (1)
- application system architectures (1)
- artificial intelligence (1)
- assistance systems (1)
- automation (1)
- behavioral patterns (1)
- benefits (1)
- betriebliche Lernprozesse (1)
- betriebliche Weiterbildung (1)
- betriebliche Weiterbildungspraxis (1)
- big data analytics (1)
- business model (1)
- business models (1)
- business process improvement (1)
- business process management (1)
- business process modeling (1)
- business process optimization (1)
- case-based reasoning (1)
- change (1)
- change management (1)
- classification scheme (1)
- competence development (1)
- context-aware computing (1)
- conversion (1)
- conversion sequences (1)
- cooperative AI (human-in-the-loop) (1)
- copyright (1)
- coring (1)
- corona-sensitive data collection (1)
- creativity training (1)
- cross self-confrontation (1)
- cyber-physical production systems (1)
- cyber-physical systems (1)
- data mining (1)
- data-driven artifacts (1)
- database (1)
- databases (1)
- decision-making (1)
- deep learning (1)
- delegated proof of stake (1)
- demographic change (1)
- design science (1)
- design-science research (1)
- development of AI-based systems (1)
- didactic concept (1)
- didactic framework (1)
- digital learning factory (1)
- digital marketplaces (1)
- digital platform openness (1)
- digital platforms (1)
- digital teaching (1)
- digitization of production processes (1)
- discipline differences (1)
- discrete event simulation (1)
- distributed knowledge base (1)
- domain-specific language (1)
- e-learning (1)
- eference Architecture Model (1)
- effectiveness (1)
- empirical evaluation (1)
- empirical examination (1)
- empirical studies (1)
- enhancement (1)
- enteprise-level (1)
- enterprise system (1)
- enterprise systems (1)
- environmental footprint (1)
- errors in modeling (1)
- experience; (1)
- experiment (1)
- experimental design (1)
- experimentation (1)
- explainability (1)
- factory software (1)
- federated industrial platform ecosystems (1)
- future (1)
- game-based learning (1)
- gamification (1)
- geographical distribution (1)
- gewerkschaftlich unterstützte Weiterbildungspraxis (1)
- higher education (1)
- human-machine-interaction (1)
- humans-in-the-loop (1)
- hybrid simulation (1)
- improvement (1)
- industrial innovation (1)
- industrielle Innovationen (1)
- information systems research (1)
- intentionales Vergessen (1)
- intermediaries (1)
- internet of things and services (1)
- intervention (1)
- interventions (1)
- job shop scheduling (1)
- job-shop scheduling (1)
- knowledge (1)
- knowledge engineering (1)
- knowledge transfer velocity (1)
- kognitive Assistenzsysteme (1)
- labour union education (1)
- learning (1)
- learning environment (1)
- learning scenario (1)
- learning scenario for manufacturing (1)
- learning scenario implementation (1)
- manipulation (1)
- manufacturing systems (1)
- metadata (1)
- method comparision (1)
- mobile IIoT-technologies (1)
- mobile software ecosystems (1)
- modeling language (1)
- morphologic box (1)
- morphological analysis (1)
- multi-actor routines (1)
- multi-objective optimisation (1)
- music industry (1)
- new product development (1)
- notation (1)
- organizational memory (1)
- personalised learning (1)
- problems (1)
- process design (1)
- process improvement (1)
- process integration (1)
- process knowledge (1)
- process of modeling (1)
- process perspective (1)
- process simulation (1)
- process-oriented knowledge acquisition (1)
- product carbon footprint (1)
- product development (1)
- production engineering computing (1)
- production networks (1)
- production planning (1)
- production planning and control (1)
- production routine (1)
- programming skills (1)
- proof of stake (1)
- proof of work (1)
- quality (1)
- quantitative (1)
- recording of workplaces (1)
- regional network (1)
- remanufacturing (1)
- requirements (1)
- research challenges (1)
- retentivity (1)
- retrieval cues (1)
- retrofit (1)
- risks (1)
- routines (1)
- rype of change content (1)
- scenario modeling (1)
- simulation (1)
- situational strength (1)
- smart automation (1)
- smart grid (1)
- smart production (1)
- social network analysis (1)
- software engineering (1)
- standardization (1)
- subject differences (1)
- subject-oriented learning (1)
- sustainability (1)
- task realization strategies (1)
- taxonomy (1)
- teaching and learning model (1)
- technologies (1)
- technology acceptance (1)
- technology-mediated teaching (1)
- terminology (1)
- time consumption (1)
- training (1)
- triple bottom line (1)
- university teaching (1)
- unlearning (1)
- various applications (1)
- virtual learning (1)
- ökologischer Fußabdruck (1)
Institute
- Wirtschaftswissenschaften (131)
- Fachgruppe Betriebswirtschaftslehre (82)
- Hasso-Plattner-Institut für Digital Engineering GmbH (3)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (3)
- Fachgruppe Politik- & Verwaltungswissenschaft (2)
- Bürgerliches Recht (1)
- Department Psychologie (1)
- Forschungsbereich „Politik, Verwaltung und Management“ (1)
- Sozialwissenschaften (1)
Traditional production systems are enhanced by cyber-physical systems (CPS) and Internet of Things. A kind of next generation systems, those cyber-physical production systems (CPPS) are able to raise the level of autonomy of its production components. To find the optimal degree of autonomy in a given context, a research approach is formulated using a simulation concept. Based on requirements and assumptions, a cyber-physical market is modeled and qualitative hypotheses are formulated, which will be verified with the help of the CPPS of a hybrid simulation environment.
Dieses Buch bietet eine Einführung in das Informationsmanagement in kommentierter Form. Es richtet sich in erster Linie an Studierende der Betriebswirtschaftslehre und der Wirtschaftsinformatik.
Der erste Teil des Buches gibt einen einführenden Überblick über die grundlegende Begriffe und Ansätze des Informationsmanagements. Es wird ein Modell des Informationsmanagements vorgestellt, auf dessen Basis die Aufgaben des Informationsmanagements in den folgenden Kapiteln vertieft werden. Der zweite Teil widmet sich der Informationswirtschaft und behandelt Informationsnachfrage und -angebot. Im dritten Teil des Buches werden die betrieblichen Informationssysteme mit ihren grundlegenden Bausteinen Daten und Prozesse thematisiert. Der vierte Teil gibt einen Überblick über Anwendungssysteme für die Produktion und die Aufgaben des Managements der Informations- und Kommunikationstechnik. Das abschließende Kapitel beinhaltet eine Diskussion relevanter Führungsaufgaben des
Die Digitalisierung von Produktionsprozessen schreitet mit einer hohen Intensität voran. Weiterbildung hat eine hohe Relevanz für betriebliche Transformationsprozesse. Die betriebliche Weiterbildungspraxis ist den aktuellen Herausforderungen der Digitalisierung jedoch nicht gewachsen. Herausforderungen sind Kompetenzlücken der Mitarbeiter, ungewisse Anforderungsprofile und Tätigkeitstypen, demographischer Wandel sowie veraltete didaktische Ansätze. Zudem wird bestehender inhaltlicher und pädagogischer Freiraum bei der Gestaltung von Weiterbildung oftmals nur unzureichend ausgenutzt. Die skizzierte Situation führt dazu, dass der Mehrwert gegenwärtiger Qualifizierungsangebote sowohl für Unternehmen als auch Beschäftigte nicht ausgeschöpft wird. Ausgehend von Veränderungen durch Digitalisierung in der Produktion und deren Auswirkungen auf die Kompetenzentwicklung diskutiert dieser Beitrag Herausforderungen gegenwärtiger betrieblicher Weiterbildung. Er leitet Handlungsempfehlungen ab, die mithilfe von Beispielen gewerkschaftlich unterstützter Weiterbildungspraxis illustriert werden. Im Ergebnis erhalten Interessierte einen Überblick über gegenwärtige Herausforderungen und Handlungsempfehlungen für die Gestaltung und Durchführung von Weiterbildung in Zeiten der Digitalisierung.
Wodurch zeichnen sich die besten ERP-Systeme aus? Diese Frage wird dem Autor dieses Beitrags immer wieder gestellt. Mit der Vorstellung der Balanced ERP Scorecard (BESC) besteht nun eine Möglichkeit, ein System aus verschiedenen Perspektiven zu bewerten und so individuell zu einer Einschätzung des für eine konkrete Unternehmenssituation besten Systems zu gelangen. Daher beschreibt dieser Beitrag zunächst die Perspektiven der BESC und dann mögliche Kriterien für eine Ausgestaltung dieser Scorecard.
Manufacturing companies still have relatively few points of contact with the circular economy. Especially, extending life time of whole products or parts via remanufacturing is an promising approach to reduce waste. However, necessary cost-efficient assessment of the condition of the individual parts is challenging and assessment procedures are technically complex (e.g., scanning and testing procedures). Furthermore, these assessment procedures are usually only available after the disassembly process has been completed. This is where conceptualization, data acquisition and simulation of remanufacturing processes can help. One major constraining aspect of remanufacturing is reducing logistic efforts, since these also have negative external effects on the environment. Thus regionalization is an additional but in the end consequential challenge for remanufacturing. This article aims to fill a gap by providing an regional remanufacturing approach, in particular the design of local remanufacturing chains. Thereby, further focus lies on modeling and simulating alternative courses of action, including feasibility study and eco-nomic assessment.
Die Branche der Dienstleistungsunternehmen (Professional Services) hat einige Anforderungen, die sie von den „klassischen“ ERP-Branchen Industrie und Handel unterscheidet. Dieser Beitrag beschreibt einige der aktuellen Herausforderungen dieses immer wichtiger werdenden Wirtschaftszweigs und geht dann am Beispiel eines mittelständischen Ingenieurdienstleisters auf typische Anforderungen dieser Branche, infrage kommende Systeme und das Vorgehen zur Auswahl ein.
Industry 4.0, i.e. the connection of cyber-physical systems via the Internet in production and logistics, leads to considerable changes in the socio-technical system of the factory. The effects range from a considerable need for further training, which is exacerbated by the current shortage of skilled workers, to an opening of the previously inaccessible boundaries of the factory to third-party access, an increasing merging of office IT and manufacturing IT, and a new understanding of what machines can do with their data. This results in new requirements for the modeling, analysis and design of information processing and performance mapping business processes.
In the past, procedures were developed under the name of “process-oriented knowledge management” with which the exchange and use of knowledge in business processes could be represented, analyzed and improved. However, these approaches were limited to the office environment. A method that makes it possible to document, analyze and jointly optimize the new possibilities of knowledge processing by using artificial intelligence and machine learning in production and logistics in the same way and in a manner compatible with the approach in the office environment does not exist so far. The extension of the modeling language KMDL, which is described in this paper, will contribute to close this research gap.
This paper describes first approaches for an analysis and design method for a knowledge management integrating man and machine in the age of Industry 4.0.
Terminology is a critical instrument for each researcher. Different terminologies for the same research object may arise in different research communities. By this inconsistency, many synergistic effects get lost. Theories and models will be more understandable and reusable if a common terminology is applied. This paper examines the terminological (in)consistence for the research field of job-shop scheduling by a literature review. There is an enormous variety in the choice of terms and mathematical notation for the same concept. The comparability, reusability and combinability of scheduling methods is unnecessarily hampered by the arbitrary use of homonyms and synonyms. The acceptance in the community of used variables and notation forms is shown by means of a compliance quotient. This is proven by the evaluation of 240 scientific publications on planning methods.
CO₂-Fußabdrücke sind ein aktuell viel diskutiertes Thema mit weitreichenden Implikationen für Individuen als auch Unternehmen. Firmen können einen proaktiven Beitrag zur Transparenz leisten, indem der unternehmens- oder produktbezogene CO₂-Fußabdruck ausgewiesen wird. Ist der Entschluss gefasst einen CO₂-Fußabdruck auszuweisen und die entstehenden Treibhausgase zu erfassen, existiert eine Vielzahl unterschiedlicher Normen und Zertifikate, wie die publicly available specification 2050, das Greenhouse Gas Protokoll oder die ISO 14067. Das Ziel dieses Beitrags ist es, diese drei Normen zur Berechnung des produktbezogenen CO₂-Fußabdrucks zu vergleichen, um Gemeinsamkeiten und Unterschiede sowie Vor- und Nachteile in der Anwendung aufzuzeigen. Die Übersicht soll Unternehmen bei der Entscheidungsfindung hinsichtlich der Eignung eines CO₂-Fußabdrucks für ihr Unternehmen unterstützen.
Since more and more business tasks are enabled by Artificial Intelligence (AI)-based techniques, the number of knowledge-intensive tasks increase as trivial tasks can be automated and non-trivial tasks demand human-machine interactions. With this, challenges regarding the management of knowledge workers and machines rise [9]. Furthermore, knowledge workers experience time pressure, which can lead to a decrease in output quality. Artificial Intelligence-based systems (AIS) have the potential to assist human workers in knowledge-intensive work. By providing a domain-specific language, contextual and situational awareness as well as their process embedding can be specified, which enables the management of human and AIS to ease knowledge transfer in a way that process time, cost and quality are improved significantly. This contribution outlines a framework to designing these systems and accounts for their implementation.
Faced with the triad of time-cost-quality, the realization of knowledge-intensive tasks at economic conditions is not trivial. Since the number of knowledge-intensive processes is increasing more and more nowadays, the efficient design of knowledge transfers at business processes as well as the target-oriented improvement of them is essential, so that process outcomes satisfy high quality criteria and economic requirements. This particularly challenges knowledge management, aiming for the assignment of ideal manifestations of influence factors on knowledge transfers to a certain task. Faced with first attempts of knowledge transfer-based process improvements [1], this paper continues research about the quantitative examination of knowledge transfers and presents a ready-to-go experiment design that is able to examine quality of knowledge transfers empirically and is suitable to examine knowledge transfers on a quantitative level. Its use is proven by the example of four influence factors, which namely are stickiness, complexity, competence and time pressure.
Process models are the basic ingredient for many attempts to improve business processes. The graphical depiction of otherwise not observable behavior in an enterprise is one of the most important techniques in the digital society. They help to enable decision making in the design of processes and workflows. Nevertheless it is not easy to correctly model business processes. Some approaches try to detect errors by an automated analysis of the process model. This contribution focuses on the creation of the first model from scratch. Which errors occur most frequently and how can these be avoided?
From employee to expert
(2021)
In the context of the collaborative project Ageing-appropriate, process-oriented and interactive further training in SME (API-KMU), innovative solutions for the challenges of demographic change and digitalisation are being developed for SMEs. To this end, an approach to age-appropriate training will be designed with the help of AR technology. In times of the corona pandemic, a special research design is necessary for the initial survey of the current state in the companies, which will be systematically elaborated in this paper. The results of the previous methodological considerations illustrate the necessity of a mix of methods to generate a deeper insight into the work processes. Video-based retrospective interviews seem to be a suitable instrument to adequately capture the employees' interpretative perspectives on their work activities. In conclusion, the paper identifies specific challenges, such as creating acceptance among employees, open questions, e.g., how a transfer or generalization of the results can succeed, and hypotheses that will have to be tested in the further course of the research process.
Competence development must change at all didactic levels to meet the new requirements triggered by digitization. Unlike classic learning theories and the resulting popular approaches (e.g., sender-receiver model), future-oriented vocational training must include new learning theory impulses in the discussion about competence acquisition. On the one hand, these impulses are often very well elaborated on the theoretical side, but the transfer into innovative learning environments - such as learning factories - is often still missing. On the other hand, actual learning factory (design) approaches often concentrate primarily on the technical side. Subject-oriented learning theory enables the design of competence development-oriented vocational training projectsin learning factories in which persons can obtain relevant competencies for digitization. At the same time, such learning theory approaches assume a potentially infinite number of learning interests and reasons. Following this, competence development is always located in an institutional or organizational context. The paper conceptionally answers how this theoryimmanent challenge is synthesizable with the reality of organizationally competence development requirements.
Handbuch der ERP-Auswahl
(2023)
Robotic Process Automation (RPA) steht für die softwareunterstützte Bedienung von Softwarelösungen über deren Benutzeroberfläche. Das primäre Ziel, das mit RPA erreicht werden soll, ist die automatisierte Ausführung von Routineaufgaben, die bisher einen menschlichen Eingriff erforderten. Das Potenzial von RPA, Prozesse langfristig zu verbessern, ist allerdings stark begrenzt. Die Automatisierung von Prozessen und die Überbrückung von Medienbrüchen auf der Front-End-Ebene führt zu einer Vielzahl von Abhängigkeiten und Bedingungen, die in diesem Beitrag zusammengefasst werden. Der Weg zu einer nachhaltigen Unternehmensarchitektur (bestehend aus Prozessen und Systemen) erfordert offene, adaptive Systeme mit moderner Architektur, die sich durch ein hohes Maß an Interoperabilität auf verschiedenen Ebenen auszeichnen.
Wiederanlauf nach der Krise
(2020)
Jetzt intelligent aus der Krise heraus starten! Der Anlauf von Neuprodukten und der jetzt notwendige Wiederanlauf nach der Corona-Krise haben einige Gemeinsamkeiten: In beiden Fällen muss vorsichtig vorgegangen werden, es muss eine hohe Wandlungsfähigkeit und Anpassungsfähigkeit aufrechterhalten werden, um schnell auf eine Veränderung der Situation reagieren zu können und es werden geeignete Werkzeuge und Prognoseverfahren benötigt, um sich die Auswirkungen von geplanten Schritten vorher verdeutlichen zu können. Das vorliegende Herausgeberwerk wurde zusammengestellt, um Expertenwissen für die Praxis nutzbar zu machen. Die über 30 Aufsätze in diesem Werk dienen dem Ziel, das Thema „Wiederanlauf nach der Krise“ aus allen wichtigen Blickwinkeln zu beleuchten und alle relevanten Branchen zu berücksichtigen. Nach der Darstellung allgemeiner Prinzipien des Wiederanlaufs werden Methoden und Werkzeuge vorgestellt, bevor dann Spezika einzelner Branchen diskutiert werden. Im Vordergrund steht dabei die international vernetzte Automobilindustrie sowie die globalen Lieferketten. Weitere Branchen wie die Elektronikfertigung und die Herstellung von Konsumgütern werden ebenfalls besprochen. Zielgruppe dieses Werkes sind vor allem diejenigen, die jetzt den Wiederanlauf von Produktionssystemen nach der drastischen Reduzierung durch das neuartige Corona-Virus planen, vorbereiten und umsetzen.
The authors propose that while tacit knowledge is a valuable resource for developing new business models, its externalization presents several challenges. One major challenge is that individuals often don’t recognize their tacit knowledge resources, while another is the reluctance to share one’s knowledge with others. Addressing these challenges, the authors present an application-oriented serious game-based haptic modeling approach for externalize tacit knowledge, which can be used to develop the first versions of business models based on tacit knowledge. Both conceptual and practical design fundamentals are presented based on elaborated theoretical approaches, which were developed with the help of a design science approach. The development of the research process is presented step by step, whereby we focused on the high accessibility of the presented research. Practitioners are presented with guidelines for implementing their serious game projects. Scientists benefit from starting points for their research topics of externalization, internalization, and socialization of tacit knowledge, development of business models, and serious games or gamification. The paper concludes with open research desiderata and questions from the presented research process.
The usage of gamification in the contexts of commerce, consumption, innovation or eLearning in schools and universities has been extensively researched. However, the potentials of serious games to transfer and perpetuate knowledge and action patterns in learning factories have not been levered so far. The goal of this paper is to introduce a serious game as an instrument for knowledge transfer and perpetuation. Therefore, reqirements towards serious games in the context of learning factories are pointed out. As a result, that builds on these requirements, a serious learning game for the topic of Industry 4.0 is practically designed and evaluated.