Predictive Analytics through Artificial Intelligence
Predictive Analytics through Artificial Intelligence
FactoryWorx provides leading edge predictive analytics through artificial intelligence and out of the box AI based manufacturing solution extending across Digital Twin, Industry 4.0, Predictive Asset Management, Predictive Maintenance,Project Management, Transportation Management
Predictive Analytics through artificial intelligence: Digital Operator/ Digital Twin
Factoryworx AI digital operator assimilates data from machine sensors(industry 4.0), and process related information, and hence learns your process.
Now that the Digital operator has been trained on your processes in your factory, it will assist operators in real-time and maintenance in improving the process by predicting failures and hence providing real time instructions. This improves productivity, performance, and reduces waste as it has already learned about your process. The digital operator predicts what’s going to happen and then it feeds back to the operators.
This digital operator is:
easily accessible,
helps powerful analysis,
resulting in fewer errors, less rework,
sustainable operations,
increases reliability and availability,
improves production, and
reduces cost.
Predictive Analytics through artificial intelligence: Predictive Asset Management
Predictive asset management is all about the connected factory. Industry 4.0, sensors and machines, and processing and analyzing data in real time to predict failures in machines. Monitoring sensors on machines to predict when machine will fail.
It can keep track and monitor transactions, track recipies, subscription and recoveries.
Equipped with these features, you can detect asset behaviors with respect to their standard performances.
So whenever a risk occurs, the asset manager gets a notification.
Now he can notify the staff about the incorrect or risk activities to aware of.
Predictive Analytics through artificial intelligence: Predictive Maintenance
FactoryWorx is capable of predicting the next time to failure and the ROL (reminder of life) of a machine or an asset. At times, machines will fail, and will start costing you even more than its worth. It helps to predict when and why the machine will fail hence reducing downtime.
Predictive maintenance system measure different data including past maintenance records, data accumulated in the sensors, etc. to determine the next servicing period. Utilizing both real time and past records, machine operators can make faster and well-versed decisions.
FactoryWorx software with the help of AI and predictive maintenance maximizes your machines’ uptime
Sensors and Machine Learning helps in extracting more information from huge bulk of data.
Predictive maintenance ensures that your assets are performing at its peak.
Predictive Analytics through artificial intelligence: Project Management
Factoryworx Project management AI assistant performs the daily management of projects and their administrarion, without any human help. Along with automating simple tasks it also improves project performance.
Benefits of AI based project management:
Jobs like passing on tasks, receiving status updates, sending alerts and notifications can be automated using chatbots.
AI can recognize errors before they happen and reduce failures.
With Analytics, we can predict actions and manage time, talent co-ordination, and priority control of the responsibilities that completes a project.
AI automates simple tasks and helps in development of new ideas, help complete bigger responsibilities and make in decision making.
Predictive Analytics through artificial intelligence: Production Reporting
In digitized companies that have already adopted Artificial Intelligence, standard building blocks of AI helps in constructing a process that works with fewer changes resulting in the generation of a standard and structured production report .
Creating of an annual report manually is always time consuming, complex and disorganized. In preparing a report with AI, robotic process automation relates the previous year’s report, maps with the current period and transfers it to the accounting system.
AI could help in producing reporting by pushing out notifications to unit owners. AI can also help in the efficiency of communications by using sentiment analysis to reflect how the report will be read. It also proposes alternate phrasing to better match organization’s objective.
Predictive Analytics through artificial intelligence: Transportation Management
Integration of Artificial Intelligence in transportation management system has enhanced speed and safety of the vehicles.
AI does driver profiling and notifies the transportation manager if in case of any risk.
AI in transportation has made it possible for efficient communication, warehouse maintenance, robot employees, improved productivity levels, inventory processes, and employee income.
Transportation with AI is able to reduce vehicle repair cost and downtime .
Highway speed, fuel availability, status of goods in the trucks , etc all can be now tracked by the logistic manager only because of AI.