Internet of Things

A pharmaceutical company aimed to enhance its innovation by actively testing modern technologies. A key challenge was skillfully and effectively integrating technological innovations into the production area so that data could be collected and analyzed in real-time. The company wanted to show that it is in the „close peloton” of digitalization of production, thereby increasing its market competitiveness.

A company in the electronics industry specializing in semiconductor manufacturing set a major goal to make improvements that positively affect the quality of final products. A key element was to monitor and identify correlations that would predict the satisfactory quality of products coming off the production line. This was done using data from machines and quality control stations, which was then subjected to in-depth analysis. This enabled the company to better understand which factors affect the quality of their products.

An automotive company needed a solution to monitor production to improve the quality of final products. The key element was identifying issues by analyzing quality data correlated with production data. Special attention was given to the casting and cooling zones, where product quality was particularly variable.

A global company in the electrical accessories manufacturing industry used in automation faced the challenge of improving key performance indicators (KPIs), particularly increasing the availability and efficiency of production cells. Each workstation involved multiple stages of assembly and production across various positions and locations, requiring a coordinated approach to managing work, materials, and proper planning.

A client, a leader in the glass packaging manufacturing sector, identified the need to implement an integrated production data management system to replace outdated, manual reporting methods.

Introduction In the highly competitive food and beverage industry, achieving optimal Key Performance Indicators (KPIs) such as availability, performance, and quality is essential for maximizing operational efficiency and profitability. A client operating semi-automated production lines was experiencing persistent underperformance in these KPIs. To address this issue, the company required a robust and precise data-driven approach […]

In the aerospace and defense industry, which is characterized by particularly high requirements for precision and reliability, key performance indicators in maintenance, failure prediction or machine condition monitoring, are crucial.

Industry 4.0, also referred to as the fourth industrial revolution, is a concept encompassing a complex process of technological and organizational transformation of companies, which began in 2013.

If you think OEE has no secrets to you and your plant maintain highest OEE results… think again. Harsh truth is that most manufacturing plants’ OEE land somewhere between 35 and 43%. They just don’t know about that.

You don’t have to replace your machines with the new ones to make your production „smarter” and more efficient. Your shop floor is a data mine, and digitization is the key to unlock its value.

Whether you’re a seasoned user or new to ThingWorx, overcoming these hurdles is crucial for IoT success. In this blog, we’ll uncover the top challenges, offer tips for newcomers, discuss strategies to enhance your ThingWorx experience, and explore the importance of upgrading your ThingWorx solution.

Very often overlooked or accepted as-is due to being an integral part of the production – in times of crisis and cost-cutting, it can become a major factor that improves the bottom line of your organization. Where to look for significant energy savings to reduce energy costs? How manufacturers should focus on these goals to make an impact?