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What’s Next for Leantechnique? Future Developments to Watch

Recent Posts:

Environmental Impact of the Global Float Glass Production

Environmental Impact of Each Ton of “Glass Pull” in Float Glass Manufacturing

Waste Statistics in a Typical Float Glass Line

An Overview of the End-to-End Yield of the Glass Loop

What’s Next for Leantechnique? Future Developments to Watch

Leantechnique Relational Smart Model (RSM) for Data Collection and Analysis – Part 2

Leantechnique Relational Smart Model (RSM) for Data Collection and Analysis – Part 1

How Leantechnique Uses AI to Solve Glass Industry Challenges Through Cause-and-Effect Modelling

Time-Honoured Techniques: Navigating Troubleshooting

Understanding the Challenges in the Glass Industry – Part 2

Introduction:

Building upon the insights shared in our previous blogs, including the introduction of LeanTechnique as an AI-powered app for troubleshooting in the glass industry, understanding the intricate challenges faced by the industry, and exploring time-honoured techniques for effective troubleshooting, we have utilized AI to enhance cause-and-effect modelling, and created the Leantechnique Relational Smart Model (RSM) for data collection and analysis. With these advancements, we are committed to empowering glass manufacturers with innovative solutions to drive efficiency and productivity in their operations.

Now, let’s delve into our future roadmap, which is geared towards tackling troubleshooting and data analysis challenges. Here’s a sneak peek into the exciting features and updates we plan to roll out:

  1. Enhanced User Experience: We’re committed to refining the user interface to make LeanTechnique not only more visually appealing but also more intuitive and user-friendly. This will make navigating the app smoother, ensuring that all features are easily accessible and that users can find what they need without any hassle.
  2. Mobile Accessibility: Recognizing the dynamic environment of our users, we are expanding the accessibility of LeanTechnique to mobile devices and tablets. This update will allow field technicians and managers to input data directly from the site of operation, enhancing real-time data entry and interaction.
  3. Support for Diverse File Formats: To cater to the diverse needs of our users, LeanTechnique will soon support additional file formats like DWG and various image files, alongside the existing support for PDFs, Excel, and doc files. This will enable users to upload and analyze data in the format most convenient for them, making the system more flexible and comprehensive.
  4. Advanced Data Collection via Sensors: We are working to enhance the flexibility of data collection directly through sensors. This upgrade will allow for more comprehensive data gathering, capturing a wider range of data points automatically. This will enrich the data set available for analysis, leading to more accurate diagnostics and predictions.
  5. Smarter Analysis Models: The cornerstone of our upcoming updates is the improvement of our analysis models. By leveraging cutting-edge AI and machine learning techniques, LeanTechnique will become even smarter in analyzing data, identifying patterns, and predicting potential issues before they escalate. This will significantly improve the decision-making process, reducing downtime and optimizing production efficiency.

These enhancements are designed to make LeanTechnique an even more powerful tool in the glass manufacturing industry, helping to streamline processes, reduce errors, and ultimately save costs by enabling proactive maintenance and troubleshooting.