About Us
High Reliable Automation Software Solutions
Our Ultimate Goal Is Your Satisfaction!
Our Experts Understand The Needs Of Machine Builders, End Customers, Maintenance Staff & Machine Operators In The Field. Under These Aspects In Mind, We Implement Productive, Reliable, User-Friendly & Innovative Machine Software
ProSoftAG is a freelance engineering and consulting organization focused on machine software & drive solutions in the automation sector. We develop customer-specific machine software solutions up to series production for a wide range of industries using SIEMENS Control & Drive Technologies. We increase the efficiency and productivity of our customers through professional advice and reliable, innovative machine software solutions.
Some Cool Facts
Our goals are to play an active role in the advancement of machine manufacturing standards. We will continue to be a driving force that shapes the future of our clients with delivering world-class solutions under the aspect of industry 4.0. That is the key to our success.
Industry 4.0 - Industrial Internet of Things (IoT)
In pursuit of the smart, connected factory of the future, Industry 4.0 embraces automation, communication and manufacturing technologies – paving the way for a new industrial revolution. With the revolution will come heightened levels of networking and integration between companies in value networks. This type of collaborative partnership relies on interoperability, transparency and decentralized intelligence to ensure operational consistency throughout a multivendor environment. Maximum productivity and extensive product customization under mass production conditions are central goals of Industry 4.0. In many ways, the highly innovative packaging industry already operates according to these principles. Some filling and packaging lines are already producing products with personalized recipes (personalized medicine, custom-blended perfume) and customized containers.
Industry 4.0 and the Industrial Internet of Things (IoT) promise to reduce total cost of ownership (TCO) by making machinery easier to operate and maintain. Mass customization requires highly modular machines to enable automatic adaptation of production to real-time demand. Widespread adoption of machine standards as PackML and OPC UA ensures operational consistency between all the machines in a multivendor production line – for a substantial boost in overall equipment effectiveness (OEE). Integrated condition monitoring and direct web connectivity down to the sensor level will serve big data analytics and enable auto-diagnostics. Complemented by augmented reality technology, access to comprehensive diagnostics via standard web technology enables total productive maintenance (TPM). The result is improved production with zero defects, zero breakdowns and zero accidents.
Total Cost Of Ownership - TCO
The total cost of ownership (TCO) for a piece of equipment or other asset involves much more than simply its initial cost. The TCO accounts for all the costs over the asset’s entire lifecycle – from installation and deployment to operation and energy consumption to maintenance and upgrades. Although implementation of Industry 4.0 does require short-term investment, in return it generates long-term savings through increased efficiency and optimized energy consumption. To achieve the goal of mass customization at mass-production costs, machine design has to be highly modular and flexible to enable automatic adaptation of production to real-time demand.
Overall Equipment Effectiveness - OEE
As a key component of the Industry 4.0 business model, collaborative partnership pushes for a single set of common standards. This not only provides consistency within packaging lines, but also enables operational efficiency and facilitates the computation of key performance indicators. Modular software technologies reduce the development time for new machines and allow easy management of machine options and variants. This minimizes changeover times and enables mass customization.
Total Productive Maintenance - TPM
Integrated condition monitoring capabilities and big data analytics enable auto-diagnostics. Direct web connectivity down to the sensor level allows machines to autonomously ask operators to perform maintenance tasks. Production, maintenance and engineering teams of machine builders and end users have easy access to key indicators and full diagnostics via standard web technologies.