Welcome to
On Feet Nation
HaroldWallace Online
BABU Online
jack452 Online
goditac499 Online
harvey4ije Online
Kenneth Online
Posted by BABU on October 6, 2024 at 5:35am 0 Comments 0 Likes
Manufacturers' associations, industrial software vendors, and trade media are fond of posing these questions; however, the real question for manufacturing professionals is: Do I really need Industry 4.0 technology to be competitive?An engineering. com survey was recently conducted to answer this question by comparing the use of manufacturing monitoring with production performance as measured by overall equipment effectiveness (OEE). According to the findings of the study, higher overall equipment effectiveness (OEE) is associated with higher monitoring capabilities. More importantly, the study discovered that the system you choose, as well as the manner in which it is implemented, may make a significant difference. The 254 survey respondents represented a cross-section of manufacturing industries, including automotive, food and beverage, and aerospace. They included Directors and Managers, as well as engineers and technicians in manufacturing industries.Connect and keep an eye on things.Most people begin by connecting and syncing assets to a system such as Mindsphere (Siemens IoT platform), according to Boswell. "Most people tend to start at the connecting and monitoring phase," he added. They tend to do some rudimentary utilization analytics on the data once they start collecting https://www.ipqcco.com/production-monitoring Production Monitoring. This will typically assist them in getting started in asset management and then progressing to condition monitoring and other related fields. Once they have moved into the asset's performance management, you can start taking action with metrics such as overall equipment effectiveness."Increase the number of advanced capabilities available to you.The next step forward in IIoT solutions will include more advanced applications such as predictive maintenance, artificial intelligence (AI), and machine learning (to paraphrase Boswell). These, as well as other more advanced strategies of analysis and prediction, aid in the optimization of processes and the prevention of errors.The transition to full digitalization is underway.The third level entails a shift toward complete digitalization, which has the potential to completely transform business processes. A "digital twin" of a company's process is created at this stage, and it is used not only within a plant but also throughout the supply chain, across different facilities, and in the field.
© 2024 Created by PH the vintage. Powered by
You need to be a member of On Feet Nation to add comments!
Join On Feet Nation