Filtern
Volltext vorhanden
- nein (145)
Erscheinungsjahr
Dokumenttyp
- Wissenschaftlicher Artikel (145) (entfernen)
Schlagworte
- learning factory (3)
- Hinweisreize (2)
- Industry 4.0 (2)
- JSP (2)
- Simulation (2)
- assessment (2)
- deep reinforcement learning (2)
- learning factories (2)
- modular production (2)
- multi-agent system (2)
- production control (2)
- vocational training (2)
- AI and business informatics (1)
- AI-based decision support system (1)
- Adaptation (1)
- Analytics (1)
- Anpassung (1)
- Anpassungsfähigkeit (1)
- Anwendungssystemarchitekturen (1)
- Architecture concepts (1)
- Assistenzsysteme (1)
- Auswahlvorgehen (1)
- Automatisierung (1)
- Behavior (1)
- Bewertung (1)
- Blockchain (1)
- COVID-19 (1)
- CO₂-Fußabdruck (1)
- CPPS (1)
- CPS (1)
- Change (1)
- Crowdsourcing (1)
- Cyber-phyiscal system (1)
- Cyber-physical systems (1)
- Decentralized production control (1)
- Degree of autonomy (1)
- Digitalisierung (1)
- Digitalisierung von Produktionsprozessen (1)
- ERP (1)
- ERP system (1)
- ERP-Auswahl (1)
- ERP-System (1)
- ERP-Systeme (1)
- Fabriksoftware (1)
- Factory operating system (1)
- GHG Protocol (1)
- ISO 14067 (1)
- Industrie 4.0 (1)
- Intentional forgetting (1)
- Internet of things (1)
- KI (1)
- KMU (1)
- Klassifikationsschema (1)
- Kompetenzentwicklung (1)
- Konsens-Algorithmen (1)
- Lernfabrik (1)
- MES (1)
- Nachhaltigkeit (1)
- Open innovation (1)
- PAS 2050 (1)
- Production system (1)
- Produktions-Routine (1)
- Professional Services Unternehmen (1)
- Projektmanagement (1)
- Prozessintegration (1)
- Prozessmanagement (1)
- Prozesswissen (1)
- RPA (1)
- Refabrikation (1)
- Regionale Ansätze (1)
- Remanufacturing (1)
- Retrieval cues (1)
- Robotic Process Automation (1)
- SMEs (1)
- TAM (1)
- Task realization strategies (1)
- Unternehmen (1)
- Unternehmensberatung (1)
- Verhalten (1)
- Veränderung (1)
- Weiterbildung (1)
- Willentliches Vergessen (1)
- action problems (1)
- adaptability (1)
- age-appropriate competence development (1)
- application system architectures (1)
- assistance systems (1)
- automation (1)
- benefits (1)
- betriebliche Lernprozesse (1)
- betriebliche Weiterbildungspraxis (1)
- big data analytics (1)
- classification scheme (1)
- competence development (1)
- cooperative AI (human-in-the-loop) (1)
- copyright (1)
- coring (1)
- creativity training (1)
- database (1)
- databases (1)
- decision-making (1)
- deep learning (1)
- delegated proof of stake (1)
- demographic change (1)
- development of AI-based systems (1)
- didactic concept (1)
- didactic framework (1)
- digital learning (1)
- digital marketplaces (1)
- digital platforms (1)
- digitization of production processes (1)
- discipline differences (1)
- discrete event simulation (1)
- e-learning (1)
- effectiveness (1)
- enhancement (1)
- enterprise system (1)
- environmental footprint (1)
- experience; (1)
- factory software (1)
- future (1)
- game-based learning (1)
- gamification (1)
- gewerkschaftlich unterstützte Weiterbildungspraxis (1)
- humans-in-the-loop (1)
- improvement (1)
- industrial innovation (1)
- industrielle Innovationen (1)
- industry 4.0 (1)
- intentional forgetting (1)
- intentionales Vergessen (1)
- intermediaries (1)
- internet of things and services (1)
- intervention (1)
- job shop scheduling (1)
- job-shop scheduling (1)
- knowledge transfer (1)
- kognitive Assistenzsysteme (1)
- labour union education (1)
- learning environment (1)
- learning scenario for manufacturing (1)
- learning scenario implementation (1)
- machine learning (1)
- manipulation (1)
- metadata (1)
- method comparision (1)
- mobile software ecosystems (1)
- modeling language (1)
- multi-objective optimisation (1)
- music industry (1)
- neural networks (1)
- notation (1)
- problems (1)
- process integration (1)
- process knowledge (1)
- process modelling (1)
- process-oriented knowledge acquisition (1)
- product carbon footprint (1)
- product generation engineering (1)
- production planning and control (1)
- production routine (1)
- programming skills (1)
- proof of stake (1)
- proof of work (1)
- quality (1)
- requirements (1)
- retrieval cues (1)
- retrofit (1)
- risks (1)
- serious game (1)
- smart grid (1)
- social network analysis (1)
- software engineering (1)
- standardization (1)
- subject-oriented learning (1)
- systematic literature review (1)
- tacit knowledge (1)
- taxonomy (1)
- technology acceptance (1)
- technology-mediated teaching (1)
- terminology (1)
- training (1)
- university teaching (1)
- ökologischer Fußabdruck (1)
Institut
Obwohl Handelsplattformen zunehmend an Bedeutung gewinnen, besteht im deutschsprachigen Raum ein Mangel an umfassenden Marktübersichten. Dadurch fehlt es Verkäufern, potenziellen Plattformbetreibern und Kunden an einer soliden Grundlage für fundierte Entscheidungen. Das ändern wir mit folgendem Beitrag. Erfahren Sie hier das Wichtigste über den rasant wachsenden Markt der Handelsplattformen.
Enhancing economic efficiency in modular production systems through deep reinforcement learning
(2024)
In times of increasingly complex production processes and volatile customer demands, the production adaptability is crucial for a company's profitability and competitiveness. The ability to cope with rapidly changing customer requirements and unexpected internal and external events guarantees robust and efficient production processes, requiring a dedicated control concept at the shop floor level. Yet in today's practice, conventional control approaches remain in use, which may not keep up with the dynamic behaviour due to their scenario-specific and rigid properties. To address this challenge, deep learning methods were increasingly deployed due to their optimization and scalability properties. However, these approaches were often tested in specific operational applications and focused on technical performance indicators such as order tardiness or total throughput. In this paper, we propose a deep reinforcement learning based production control to optimize combined techno-financial performance measures. Based on pre-defined manufacturing modules that are supplied and operated by multiple agents, positive effects were observed in terms of increased revenue and reduced penalties due to lower throughput times and fewer delayed products. The combined modular and multi-staged approach as well as the distributed decision-making further leverage scalability and transferability to other scenarios.
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.
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.
Neben kleineren, meist automatisierten Update-Aktivitäten zur Fehlerbehebung und zur Steigerung der Performance von ERP-Systemen, gibt es größere Updates mit umfangreicheren Aktualisierungen und Erweiterungen der Software – auch „Updateprojekte“ oder „Upgrades“ genannt. Ein ERP-Upgrade beschreibt einen größeren Änderungsprozess, der die Nutzung neuer Technologien ermöglicht und das System mit (neuen) Geschäftsstrategien in Einklang bringt. Upgrades tragen zur Verbesserung der Software bei und sind klar zu unterscheiden von geringfügigen Änderungen innerhalb einer Version eines ERP-Systems.
Umstieg auf S/4HANA
(2023)
Sehr viele langjährige R/3-Nutzer stehen derzeit vor der Frage, wie sie sich hinsichtlich des Upgrades auf S/4HANA entscheiden sollen. Die Wartung für R/3 endet absehbar in den nächsten Jahren, und mit S/4 kommen neue Möglichkeiten, aber auch neue Herausforderungen. Dieser Beitrag beschreibt die Entscheidungen, die bei der Prüfung eines Umstiegs auf S/4HANA getroffen werden müssen und zeigt diese am Beispiel eines Multi-Channel-Handelsunternehmens.
Großer Marktüberblick
(2023)
Der Beratermarkt ist ähnlich undurchsichtig wie der ERP-Markt selbst. Daher veröffentlichen wir in dieser Ausgabe einen umfassenden Marktüberblick zu ERP-Beratungen mit 24 Unternehmen vom Spezialisten zum Generalisten, aber immer fokussiert auf das Thema ERP. Sehr spannend ist z. B. die Bandbreite der Antworten, mit der ERP-Berater den Nutzen von ERP bei der ERP-Auswahl bewerten. Auch Auswahlportale stoßen nicht überall auf große Gegenliebe. Manche Antworten mussten aus Platzgründen leider gekürzt werden. Alle Abonnenten von ERP Management finden die vollständigen Antworten zum Download im Webauftritt.
This meta-analysis synthesizes 332 effect sizes of various methods to enhance creativity. We clustered all studies into 12 methods to identify the most effective creativity enhancement methods. We found that, on average, creativity can be enhanced, Hedges’ g = 0.53, 95% CI [0.44, 0.61], with 70.09% of the participants in the enhancement conditions being more creative than the average person in the control conditions. Complex training courses, meditation, and cultural exposure were the most effective (gs = 0.66) while the use of cognitive manipulation drugs was the least and also noneffective, g = 0.10. The type of training material was also important. For instance, figural methods were more effective in enhancing creativity, and enhancing converging thinking was more effective than enhancing divergent thinking. Study effect sizes varied considerably across all studies and for many subgroup analyses, suggesting that researchers can plausibly expect to find reversed effects occasionally. We found no evidence of publication bias. We discuss theoretical implications and suggest future directions for best practices in enhancing creativity. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
Developing a new product generation requires the transfer of knowledge among various knowledge carriers. Several factors influence knowledge transfer, e.g., the complexity of engineering tasks or the competence of employees, which can decrease the efficiency and effectiveness of knowledge transfers in product engineering. Hence, improving those knowledge transfers obtains great potential, especially against the backdrop of experienced employees leaving the company due to retirement, so far, research results show, that the knowledge transfer velocity can be raised by following the Knowledge Transfer Velocity Model and implementing so-called interventions in a product engineering context. In most cases, the implemented interventions have a positive effect on knowledge transfer speed improvement. In addition to that, initial theoretical findings describe factors influencing the quality of knowledge transfers and outline a setting to empirically investigate how the quality can be improved by introducing a general description of knowledge transfer reference situations and principles to measure the quality of knowledge artifacts. To assess the quality of knowledge transfers in a product engineering context, the Knowledge Transfer Quality Model (KTQM) is created, which serves as a basis to develop and implement quality-dependent interventions for different knowledge transfer situations. As a result, this paper introduces the specifications of eight situation-adequate interventions to improve the quality of knowledge transfers in product engineering following an intervention template. Those interventions are intended to be implemented in an industrial setting to measure the quality of knowledge transfers and validate their effect.