The technologies of Industry 4.0 offer engineering opportunities to increase productivity of engineering products, production and maintenance system. They also offer engineering opportunities to increase productivity in business processes. Information technology is widely used in various service industries and thus offers the opportunity for industrial engineering to improve productivity in services sector.
GE IIOT Blog Posts
Industry 4.0 - IIoT - Productivity Pathways
Dimensions, Characteristics, Parameters or Variables of Industry 4.0 (IIoT) that Increase Productivity.
The attributes of Industry 4.0 that provide the scope for increasing productivity of products and engineering processes of design, production, operation, and maintenance. Productivity engineers (industrial engineers) have to creatively redesign by employing the productivity pathways.
*Low cost control through software embedded in the product or the cloud
*Low cost optimization.
Smart, connected products can apply algorithms and analytics to in-use or historical data to dramatically improve output, utilization, and efficiency. In wind turbines, for instance, a local microcontroller can adjust each blade on every revolution to capture maximum wind energy.
How Smart, Connected Products Are Transforming Competition
Michael E. PorterJames E. Heppelmann
FROM THE NOVEMBER 2014 ISSUE
*Enabling measurements in demanding conditions with low maintenance cost and without hindering production.
VTT has developed a solution for measuring temperature, inclination, humidity, strain and other characteristics from machines and inside structures (e.g. walls) at distances up to 10 m, without batteries in the sensor. The principle is based on powering the sensor with radio frequency energy waves and using the return transmission to read out the resulting data (see Link ‘Zero Power Sensor’). The IPR protected technology allows for several individually identifiable sensors to be operated in the same space.https://ercim-news.ercim.eu/en101/special/pro-iot-improving-the-productivity-of-companies-by-using-the-iot
A platform has been developed for energy-efficient communications between mobile devices that identifies the most appropriate combination of technologies for different exchanges
*Maintenance when needed
The Internet of Things will help individual companies to limit the waste. Products which are connected to the web can communicate how they're being used or their current status. This data will be used to schedule maintenance when it's really needed, instead of the current set of relatively inefficient rules.https://www.infoq.com/articles/iot-impact-productivity
*Predictive analytics based on data collected on products will be used to reduce failures and improve product design. This will boost the efficiency of products and contribute to productivity in user organizations.
*The IoT will change how manufacturers and service companies interact with customers. Reliance on massive call centers and customer service departments will be greatly reduced and IoT enabled products will be directly connected to a service assessing their condition and taking relevant action.https://www.infoq.com/articles/iot-impact-productivity
* Machine level information system
Each machine can be aggregated into a single information system that accelerates learning across the machine portfolio.
Source: Industrial Internet: Pusing the boundaries of Minds and Machines, Peter C Evans and Marco Annunziata, GE, 2012
Revolutionizing the Food Supply Chain with IoT
Company Implementation Examples
To Increase Productivity, UPS Monitors Drivers' Every Move
Proposals for Systems
Sensors 2017, 17(11), 2588; doi:10.3390/s17112588
An Intelligent Cooperative Visual Sensor Network for Urban Mobility
Sheet metal fabricators: Evaluating the odds of success with Industry 4.0
Published: 22 December 2017 - Sarah Mead
IoT Technology Components and Issues
IoT Operating Systems
Survey of Open Source Operating System for the IoT Devices
International Journal for Scientific Research & Development (IJSRD)
Volume-4, Issue-8, August 2016, pp. 113-114
Updated 2019 12 April
2018 - 27 February
12 December 2017