Why ThinkIQ?
ThinkIQ Powers Industry 4.0 Smart Manufacturing
Why ThinkIQ?
Smart Manufacturing (also referred to as Industry 4.0, IIoT, or 4.0 Manufacturing) has begun to revolutionize manufacturing efficiency and safety. Many companies, then, are searching for a straightforward path to Smart Manufacturing; one which includes immediate improvements to yield, traceability, and safety.
With a range of data analytic solutions available — such as ERP, MES, and MOM — why consider ThinkIQ and Transformational Intelligence?
A Clear Path to Industry 4.0 Smart Manufacturing
ThinkIQ’s products are aligned along a 5 stage path specifically designed to take manufactures from their current data analytics to transformative Smart Manufacturing systems.
We’re laser-focused on transforming your process through the 5 steps required to reach Industry 4.0 Manufacturing: Data Capture, Visualization & Integration, Insight, Continuous Improvement, Smart Manufacturing. In fact, our products are directly aligned with each of these steps.
The benefits of this Transformational Intelligence are clear: improved yield, safety, quality, and compliance. But until now, the path to reach Smart Manufacturing status has not been.
ThinkIQ takes the guesswork and complication out of the equation. We create Smart Manufacturers, with immediate benefits at each stage.
ThinkIQ Products
ThinkIQ Vision gives you the complete picture by measuring machines for utilization, materials & products for status, and people for efficiency. Actual productivity can now be captured with just a standard camera.
ThinkIQ VisualOps allows you to experiment and start your journey of monetizing your manufacturing and supply chain data using an Industry 4.0 Platform that will help you achieve your digital transformation goals.
The next step as you progress towards the full benefits of Industry 4.0 Smart Manufacturing is to use advanced AI and ML to enable a material-centric view of operations.
Once a manufacturer has a material-centric view of operations, with centralized, standardized data, they can move to the final step towards Industry 4.0 Manufacturing.
See the ongoing benefits of Industry 4.0 manufacturing at the enterprise level.
eBook: The Smart Factory’s Goal Of End-To-End Supply Chain Visibility
The road to a Smart Factory using Industry 4.0 is easier than you think
- Identifying and dealing with manufacturing blindspots
- The role of CESMII and Industry 4.0
- Steps to become a Smart Factory
- Qualifying and Quantifying Industry 4.0/Smart Manufacturing… and more!
A Proven Data Platform
ThinkIQ has for years worked with some of the world’s largest manufacturing companies. Our smart data platform has prevented recalls, lowered production costs, and transformed data systems to give visibility and context to information along the supply chain and inside manufacturing facilities.
Stop a product with bad ingredients that is about to leave the dock? ThinkIQ has done it. Determine how exactly to cut onions for the greatest yield? ThinkIQ has done it. Inform a supplier when to move grain in their own silos? Yes, ThinkIQ has done it.
Contact us today for a list of references, testimonials, or an eye-opening product demonstration.
An Experienced Team focused Solely on Smart Manufacturing
Other companies offer generic data analytics. But ThinkIQ is the only Smart Manufacturing platform that provides Transformational Intelligence. Our team has decades of combined manufacturing experience, and is solely focused on applying the ongoing Industry 4.0 data revolution to manufacturing companies.
A Significant Technological Advantage
ThinkIQ has applied and refined our proprietary Transformative Intelligence data platform with a host of Smart Manufacturing organizations for years. In addition, our system has millions of data points of contextualized manufacturing data. This AI dataset allows our machine learning algorithms and engineering teams to understand and analyze manufacturing data like never before.
Our Industry 4.0 platform incorporates AI and machine learning with 4 unique elements.
The combination of these elements potentially leads to a revolutionary, transformative view of manufacturing data.
The ThinkIQ Difference
When considering your data platform, ask these questions:
- Do they focus specifically on manufacturing?
- Have the specifically aligned products to help you move from where you are, to Industry 4.0 Smart Manufacturing?
- What experience do they have integrating disparate data points throughout along manufacturing supply chains?
- Can their historian handle manufacturing analytics data, including new data types such as image, video, and geo-spatial information?
- Has their data model been created specifically to relate sensor data to physical plant equipment, manufacturing processes, raw materials and finished goods?
- Can manufacturing data be properly queried with a specific tool designed for manufacturing data analytics?
- Does their data system offer a specifically-tailored module for tracing materials as well as accumulated information as they move through your supply chain?
- How much manufacturing data has their machine learning / AI module absorbed and learned from?
- Do they link industry benchmarks are your own internal KPI’s?
- Do they apply continuous learning methodologies to your manufacturing line?
- Can they integrate all of the above elements to truly identify cause & effect patterns that transform your manufacturing line?
Contact us today for a platform demonstration or to chat with an engineer.
When considering your data platform, ask these questions:
- Do they focus specifically on manufacturing?
- Have the specifically aligned products to help you move from where you are, to Industry 4.0 Smart Manufacturing?
- What experience do they have integrating disparate data points throughout along manufacturing supply chains?
- Can their historian handle manufacturing analytics data, including new data types such as image, video, and geo-spatial information?
- Has their data model been created specifically to relate sensor data to physical plant equipment, manufacturing processes, raw materials and finished goods?
- Can manufacturing data be properly queried with a specific tool designed for manufacturing data analytics?
- Does their data system offer a specifically-tailored module for tracing materials as well as accumulated information as they move through your supply chain?
- How much manufacturing data has their machine learning / AI module absorbed and learned from?
- Do they link industry benchmarks are your own internal KPI’s?
- Do they apply continuous learning methodologies to your manufacturing line?
- Can they integrate all of the above elements to truly identify cause & effect patterns that transform your manufacturing line?
Contact us today for a platform demonstration or to chat with an engineer.