Data Analytics in der Produktionsplanung*/Data analytics for production planning

2019 ◽  
Vol 109 (04) ◽  
pp. 232-236
Author(s):  
M. Veigt ◽  
B. Staar ◽  
S. Schukraft ◽  
M. Freitag
Keyword(s):  
Production Planning ◽  
Production System ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Industrie 4.0 ◽  
Manufacturing Companies ◽  
Due Date ◽  
Factors Influencing

Durch die Digitalisierung im Kontext von Industrie 4.0 steigen die Datenmengen in produzierenden Unternehmen an. Data-Analytics-Methoden erlauben es, automatisiert Muster in diesen Daten zu erkennen, die Rückschlüsse auf die Leistungsfähigkeit des Produktionssystems geben. Der Beitrag beschreibt, wie sich Data-Analytics-Methoden nutzen lassen, um Einflussfaktoren auf die Termintreue zu identifizieren. Für die Evaluation werden die Produktionsdaten eines mittelständischen Prototypenfertigers analysiert.   With digitization in the context of industry 4.0 the data volumes in manufacturing companies are increasing. Data analytics methods allow to automatically identify patterns in these data, providing insights into the performance of the production system. This article describes how these methods can be used to identify factors influencing the due date adherence. The data of a medium-sized prototype manufacturer are used for evaluation.

scholarly journals IoT Puts a New Spin on Bearings

2018 ◽  
Vol 140 (07) ◽  
pp. 42-47 ◽  
Author(s):  
Alan S. Brown
Keyword(s):  
Digital Technology ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Low Cost ◽  
Big Data Analytics ◽  
The Internet ◽  
Manufacturing Companies ◽  
Bearing Life ◽  
Mechanical Devices ◽  
The Internet Of Things

As anyone who ever had a bearing fail knows, durability counts. However some bearing makers believe that predictability is more important than longer bearing life. By harnessing the Internet of Things (IoT) and other Industry 4.0 technologies—low-cost sensors, Big Data analytics, and machine learning—manufacturing companies want to catapult one of the world’s oldest mechanical devices into the digital future. In fact, bearings are emerging as a poster child for Industry 4.0. Yet this heady mixture of digital technology and physical products is also disrupting how companies monitor, operate, and service rotating equipment; the way they sell and service products; and who they partner with and compete against. This article delves into how bearing makers are embracing this disruption.

Einführung einer autonomen Produktion/Introduction of autonomous production – A maturity model including recommended actions for manufacturing companies

2020 ◽  
Vol 110 (04) ◽  
pp. 177-183
Author(s):  
Elena-Clara Neumann ◽  
Simon Schumacher ◽  
Dennis Bauer ◽  
Torben Lucht ◽  
Thomas Bauernhansl ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Success Factor ◽  
Maturity Model ◽  
Manufacturing Companies ◽  
Evolutionary Path ◽  
Industrial Companies ◽  
Current State

Industrie 4.0 ist geprägt von autonomen Produktionssystemen. Das Erreichen von Autonomie stellt viele Industrieunternehmen vor große Herausforderungen. Handlungsleitende Unterstützung bei der Einführung von Autonomie ist ein essenzieller Erfolgsfaktor. Das hier vorgestellte Reifegradmodell bietet Unternehmen die Möglichkeit, den aktuellen Entwicklungsstand, die individuelle Zielsetzung und den entsprechenden evolutionären Weg dahin zu identifizieren.   The vision of industry 4.0 is characterized by autonomous production systems. Achieving this autonomy is a major challenge for many industrial companies. Supporting the implementation of autonomy is an essential success factor. The maturity model presented in this article offers an opportunity for companies to identify the current state of development, their individual objectives and the corresponding evolutionary path for implementation.

ProSense/ProSense - Production control in the context of Industrie 4.0

2015 ◽  
Vol 105 (06) ◽  
pp. 422-426
Author(s):  
C. Reuter ◽  
F. Brambring ◽  
T. Hempel ◽  
F. Schulte ◽  
L. Dambeck
Keyword(s):  
Production Planning ◽  
Production Control ◽  
Industrie 4.0 ◽  
Production Planning And Control ◽  
Manufacturing Companies ◽  
Specific Process ◽  
Planning And Control ◽  
Intelligent Sensors ◽  
Process Chains ◽  
And Control

Immer kundenindividuellere Prozessketten sowie eine gleichzeitig steigende Marktdynamik stellen Unternehmen und insbesondere die Produktionssteuerung vor große Herausforderungen. Das Forschungsprojekt ProSense erarbeitet Lösungen für eine Produktionssteuerung in Zeiten von Industrie 4.0. Auf Basis kybernetischer Unterstützungssysteme und intelligenter Sensorik soll der Entscheider optimal bei Planung und Steuerung der Produktion unterstützt werden.   Customer-specific process chains and increasingly dynamic market conditions pose a major challenge for manufacturing companies and especially their production planning and control processes. The research project ProSense develops solutions for a production control in the context of Industrie 4.0. Building on cybernetic support systems and intelligent sensors, the employees can be optimally supported in decisions concerning production planning and control.

Entwicklung der Produktions-IT*/Roadmap for production planning and control

2017 ◽  
Vol 107 (11-12) ◽  
pp. 858-862
Author(s):  
T. Vollmer ◽  
B. Zhou ◽  
T. Heutmann ◽  
R. Kiesel ◽  
R. Schmitt
Keyword(s):  
Production Planning ◽  
Enterprise Resource Planning ◽  
Industry 4.0 ◽  
Resource Planning ◽  
Industrie 4.0 ◽  
Production Planning And Control ◽  
Planning And Control ◽  
It Systems ◽  
And Control ◽  
Manufacturing Environments

Automatisierung, intelligente Produktionsplanung und Monitoring sind gängige Anwendungen – daher sind Informationstechnologie (IT)-Systeme aus der Produktion nicht mehr wegzudenken. Dieser Beitrag gibt einen Überblick über die aktuellen Entwicklungen und Innovationen im Bereich der Produktions-IT (zum Beispiel Enterprise Resource Planning ERP, Manufacturing Excecution Systems MES und Computer Aided Quality Assurance CAQ), nennt Anwendungsgebiete und beleuchtet deren Potenziale anhand konkreter Fallbeispiele. Es werden darüber hinaus die Herausforderungen diskutiert, welche es im Rahmen von Industrie 4.0 zu meistern gilt.   IT systems nowadays are common in manufacturing environments for applications such as automation, intelligent production planning or monitoring. This article provides an overview about current developments and innovations in production planning and control (e.g. ERP, MES; CAQ), mentions promising areas for application and evaluates their potential referring to case studies. Based on this, challenges coming along with changes within the broad field of Industry 4.0 are discussed.

Das Internet der Tiere: Natur 4.0 und die conditio humana

2016 ◽  
Vol 7 (2) ◽  
pp. 111-124
Author(s):  
Alexander Pschera
Keyword(s):  
Industry 4.0 ◽  
Industrie 4.0 ◽  
Human Condition ◽  
Digital Culture ◽  
The Internet ◽  
Conditio Humana ◽  
The Many ◽  
The Human Condition

"Neben der Industrie hat die Digitalisierung auch die Natur ergriffen. Die Tatsache, dass Tausende von Tieren mit GPS-Sendern aus- gerüstet und überwacht werden, erlaubt, analog zur Industrie 4.0 auch von einer Natur 4.0 zu sprechen. Dieses Internet der Tiere verändert den Begriff, den der Mensch von der Natur hat. Er transformiert die Wahrnehmung vor allem der Natur als etwas fundamental An- deren. Neben den vielen kulturellen Problematisierungen, die das Internet der Tiere mit sich bringt, lassen sich aber auch die Umrisse einer neuen, ganz und gar nicht esoterischen planetarisch-post-digitalen Kultur aufzeigen, die die conditio humana verändert. In addition to industry, digitalization has also taken hold of nature. The fact that thousands of animals are provided and monitored with GPS transmitters allows to speak of nature 4.0 by way of analogy to industry 4.0. This internet of animals changes our idea of nature. Most of all, it transforms the perception of nature as something fundamentally other. Beside the many cultural problems that the internet of animals implies, it can also outline a new, not at all esoteric planetary post-digital culture that is about to change the human condition. "

An Investigation on Extrinsic and Intrinsic Rewards on Employee Retention among Gen Y: A Study in Malaysian Manufacturing Companies

2020 ◽  
Vol 3 (1) ◽  
Keyword(s):  
Regression Analysis ◽  
Employee Retention ◽  
Future Research ◽  
Manufacturing Companies ◽  
Extrinsic Reward ◽  
Intrinsic Rewards ◽  
Gen Y ◽  
Intrinsic Reward ◽  
Factors Influencing ◽  
The Relationship

The aim of this study is to investigate the relationship between extrinsic and intrinsic reward on retention among Gen Y employees in Malaysian manufacturing companies. The data was collected from 113 respondents worked in manufacturing companies located in Seri Kembangan, Selangor using questionnaires. Multiple regression analysis was conducted to test the hypotheses. The results showed both extrinsic and intrinsic reward are the factors influencing retaining Gen Y in manufacturing companies. The discussion on the analysis, limitation of the study, recommendation for future research and conclusion were discussed at the end of this study. In a nutshell, it was proven extrinsic reward and intrinsic reward has contributed to the retention of Gen Y employees.

Big data/analytics platform for Industry 4.0 implementation in advanced manufacturing context

2021 ◽  
Author(s):  
Renan Bonnard ◽  
Márcio Da Silva Arantes ◽  
Rodolfo Lorbieski ◽  
Kléber Magno Maciel Vieira ◽  
Marcelo Canzian Nunes
Keyword(s):  
Big Data ◽  
Industry 4.0 ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Advanced Manufacturing

scholarly journals TO SUPPORT IOT COLLABORATIVE EXPRESSIVENESS ON THE SHOP FLOOR

2021 ◽  
Vol 1 ◽  
pp. 3149-3158
Author(s):  
Álvaro Aranda Muñoz ◽  
Yvonne Eriksson ◽  
Yuji Yamamoto ◽  
Ulrika Florin ◽  
Kristian Sandström
Keyword(s):  
Industry 4.0 ◽  
Shop Floor ◽  
Manufacturing Companies ◽  
Technical Aspects ◽  
Industrial Landscape ◽  
The Future ◽  
New Research ◽  
Empirical Material

AbstractThe availability of new research for IoT support and the human-centric perspective of industry 4.0 opens a gap to support operators in unleashing their creativity so they can provide improvements opportunities with IoT technology. This paper presents a case-study carried out in four Swedish manufacturing companies, where four different workshops were facilitated to support operators in the conceptualization of manufacturing improvements with IoT technologies. The empirical material gathered during these workshops has been analyzed in five different reflective sessions and discussed in light of previous research from industry 4.0, operators, and IoT support. Results indicate that operators can collaboratively create conceptual IoT solutions and that expressiveness in communicating their ideas and needs using IoT technology is more relevant than technical aspects and details of their proposed IoT solutions. This technological expressiveness is identified as a necessary skill to be cultivated on the shop floor and can potentially contribute to making a more effective and socially sustainable industrial landscape in the future.

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