scholarly journals Role of Openness in Industrial Internet Platform Providers’ Strategy

Author(s):  
Karan Menon ◽  
Hannu Kärkkäinen ◽  
Thorsten Wuest
2021 ◽  
Vol 71 (10) ◽  
pp. 75-79
Author(s):  
Sabuhi Farasat Rahimli ◽  

The opinion of "Industrial Internet" was first suggested by General Electric. As a modern infrastructure of the 4 -th industrial revolution, Industrial Internet has become a substantial mechanism to actualiza digital revision of industrial economy. The Industrial Internet platform is a system formulated on huge data gathering, accumulation and analysis, which is based to the necessity of digitalization, networking and philosophizing of manufacturing industry. In order to settle the problems of actual rearward industrial data, improve the capacity of data acquisition and deal with the industrial interconnection platform, the industrial intelligent optimization system generates the product services needed by industrial enterprises and realizes the object of industrial optimization. Key words: Industrial Internet; industrial intelligence; industrial mechanism


2020 ◽  
Vol 306 ◽  
pp. 02005
Author(s):  
Jin Cao ◽  
Junliang Wang ◽  
Junqing Lu

Compressor is a typical high-end discrete product,with the shortening of product life cycle and the enhancement of the degree of product customization, the traditional compressor manufacturing system architecture cannot meet the requirements of comprehensive digital management of compressor from body scheme design to parts production line, logistics management, operation and maintenance monitoring and evaluation. This paper presents a compressor manufacturing system architecture based on digital twinning, and establishes an Internet platform for compressor industry oriented to remote coordination from three aspects of compressor design, production, operation and maintenance. The platform includes industrial Internet infrastructure layer, physical space entity model layer, virtual space multidimensional model layer, physical space and virtual space multidimensional model correlation and mapping layer, big data intelligent analysis decision-making layer, and digital twin application layer. Through the establishment of the compressor product design and simulation model of digital twin, compressor production process digital twin model, compressor fault diagnosis and remote operations digital twin model, implementation is based on the number of compressor collaboration in manufacturing industrial Internet platform twin system, leading the transformation and upgrading of intelligent manufacturing industry, compressor industry sustainable development ability and international competitiveness.


Robotic systems can already proactively monitor and adapt to changes in a production line. Nowadays, internet of things and robotic systems are key drivers of technological innovation trends.Majorcompanies are now making investments in machine learning-powered approaches to improve in principle all aspects of manufacturing. Connecteddevices, sensors, and similar advancements allow people and companies to do things they wouldn't even dream of in earlier eras.For realizing it time series feature extraction approach is selected.Industrial internet of things solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, the industrial internet of things has significantly improved reliability, production, and customer satisfaction. The internet of things and robotics arecoming together to create the internet of robotic things. Industrial internet of thingis a subset of industry4.0. Itcan encourage smartness at a bigger level in industrial robots.


2019 ◽  
Vol 23 (04) ◽  
pp. 1950036 ◽  
Author(s):  
JENS BUTSCHAN ◽  
SVEN HEIDENREICH ◽  
BENJAMIN WEBER ◽  
TOBIAS KRAEMER

Scientific research and innovation management practice have emphasised the important role of individual competencies in meeting the challenges of the digital transformation. However, it still lacks empirical studies that strive to determine how certain competencies of employees might affect the success of the digital transformation itself. In order to empirically determine the individual contribution of specific employee competencies to a successful digital transformation in terms of a high Industrial Internet of Things (IIoT) usage performance, a quantitative study among German component manufacturers of the capital goods industry was conducted. Drawing upon a sample of 284 employees, our results reveal that high developed cognitive and processual competencies of individuals promote the digital transformation processes of a firm. Surprisingly, social competencies have only a little influence. Furthermore, our findings also confirmed that a high IIoT usage performance is beneficial for a firm, significantly enhancing divisional success.


Sign in / Sign up

Export Citation Format

Share Document