Siemens is innovating its data management software for process analytical technology (PAT) with Simatic Sipat version 5.1, which allows users to monitor and control the quality of their products in real-time during manufacturing. The latest version features a web-based user-friendly datamining application to transform massive amounts of data into tabular and graphical data information. Moreover, the new charting capabilities deliver an instant view on data correlation, shortening end user investigation time. Simatic Sipat 5.1 helps companies in the pharmaceutical, food and beverage and fine chemicals industries to shorten time to market and improve product quality.
With the web-enabled Simatic Sipat Dataminer application, data from multiple Sipat data sources and versions can easily be collected, while the intuitive search capabilities and the instant preview of the query results in a comprehensive data retrieval process. Moreover, by applying the data alignment capabilities on this data the end user will have large data volumes correctly aligned within a matter of a seconds, as well as an in-depth data analysis created in tabular or graphical format. The Dataminer delivers a global view on local data.
Additionally, the graphical object of the Dataminer delivers capabilities to zoom into parts of the graph, to compare data points over multiple and different graph types in order to give more insight to the end user. With each dataset plotted on the chart, the metadata (e.g. collector settings, diagnostic info, active alarms) can be consulted. These new charting capabilities (e.g. Spectral Heat Map) deliver an instant view on data correlation, shortening investigation time.
About Sipat
Simatic Sipat is a scalable and modular software solution that enables companies to extend their quality assurance activities on a step-by-step basis within the scope of the PAT initiative. With PAT, product development and production processes can be monitored, controlled and optimised by measuring the critical-to-quality attributes of raw materials, process materials and procedures. This continuous monitoring of product quality can prevent deviations from specifications and therefore reduce production costs. In addition, it allows for real-time release testing, so quality inspections on final products can be reduced or completely eliminated.
For more information contact Jennifer Naidoo, Siemens Digital Factory and Process Industries and Drives, +27 11 652 2795, [email protected], www.siemens.co.za
Schneider Electric’s Five-Pillar Strategy takes the guesswork out of equip Schneider Electric South Africa
IT in Manufacturing
Schneider Electric’s Field Service Cycle, otherwise known as the Five-Pillar Strategy, is a structured approach to managing the lifecycle of equipment to prolong asset lifespan while reducing the total cost of ownership for customers.
Read more...Laying the groundwork in IT/OT
IT in Manufacturing
In the realm of manufacturing, the core mandate is to deliver value to stakeholders. For many in the industry, this is best achieved through a risk-averse approach. Only upon establishing a robust foundation should a business consider venturing into advanced optimisation or cutting-edge technological innovations such as industrial AI.
Read more...Looking into the future of machine vision Omron Electronics
IT in Manufacturing
Artificial intelligence (AI) is driving a significant transformation in all areas of industrial automation, and machine vision is no exception. Omron’s AI-powered machine vision systems seamlessly integrate state-of-the-art algorithms, enabling machines to analyse and interpret visual data meticulously.
Read more...Driving digital transformation in the truck industry Siemens South Africa
IT in Manufacturing
Tatra Trucks, a leading truck manufacturer in Czechia, has adopted the Siemens Xcelerator portfolio of industry software including Teamcenter software for product lifecycle management and the Mendix low code platform to help increase production volume and strengthen its ability to manufacture vehicles that meet specific customer requirements.
Read more...Opinion piece: Digital twins in manufacturing – design, optimise and expand Schneider Electric South Africa
IT in Manufacturing
Digital twin technology can help create better products, fast. It can also transform the work of product development. This strong statement from McKinsey reinforces how far digital twins have come in manufacturing.
Read more...Asset tracking is key to driving operational excellence and sustainable growth Schneider Electric South Africa
IT in Manufacturing
Asset tracking plays a critical role in the success of industrial businesses. By effectively managing and monitoring assets, companies can optimise their operations, ensuring that resources are used efficiently. This leads to improved productivity and reduced costs.
While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.