Контактная информация
Адрес | HappyOps GmbH Siegesstr. 24 80802 München |
Телефон | 0049 172 4658738 |
Электронная почта | Get in contact with HappyOps GmbH |
Интернет | www.happyops.com |
Контактные лица
Контакт 1. | Christopher Ziegler Geschäftsführer/Managing Director Phone: 0049 172 4658738 |
Продукты / Машины
Your step-by-step transition to a data and AI-driven Glass Factory
HappyOps supports glass makers to evolve into digital factories, improving Pack-to-Melt and worker productivity, reducing setup times, error rates, and scrap.
The challenges of glass production
Being among the most mechanized production lines in the world, glass factories deal with a lot of obstacles in their operations.
01 Intricate setup processes
In glass production, no setup process is the same. Workers need to make numerous adjustments when switching to new products – this lack of uniformity due to reliance on analog techniques increases costs and risks.
02 Sustainability
Lack of efficiency can lead to the waste of resources and time as well as scrap and high energy consumption. This not only results in increased costs but also in failed opportunities for promoting sustainability.
03 Heterogeneous system and equipment
Collecting data can be challenging, especially in environments with diverse glass manufacturing software systems and equipment. Nonetheless, gathering structured data over extended periods is the key to optimizing any glass factory.
04 High dependency onexperienced workers
In the highly specialized glass manufacturing industry, the ability to depend on historical data and systematically enhance SOPs has gained immense importance, especially in the context of a growing skill-shortage.
Your journey to a digital glass factory
HappyOps guides you on your way to flexible and more efficient digital manufacturing operations, step by step.
Connectors to IT/OT
We proudly support a diverse range of OT connectors, including Bucher Emhart, Futronic, Tiama, Symplex, and more. Additionally, our IT connectors seamlessly integrate with platforms like SAP, Microsoft, IQ Scan, Vertech, and beyond.