News archive
High-quality real-time data for engineering tools and leading systems
D&TS proposes an innovative way to integrate high-quality real-time data directly into engineering tools and leading systems.
Pre-study data room Manufacturing-X
What is Manufacturing-X and what is it used for?
ECLASS reduces redundancies
The fact that companies using ECLASS avoid redundancies in product master data, in addition to other advantages of the standard, has long been known. But what about redundant structural elements within the Standard? For example, we find " Salad servers" both in segment 29 " Home economics" in class 29090401 and in segment 50 " Interior furnishing" in class 50100206.
Paradine and Roche at ECLASS Congress 2023
At the ECLASS Congress 2023, Reinhard Pohn (Paradine GmbH), Uwe Beckmann and Michael Clever (both from Roche) will report on their global project at Roche and share insights into the successful implementation of ECLASS for material master data and assets.
D&TS and DSC: Webcast Survey - Determine the Focus!
For this year, D&TS is planning the first live webcast event in cooperation with its partner DSC Software AG. This event will provide valuable knowledge in the areas of Data Cleansing, Administration Shell (AAS) and automated data processes in SAP ECTR, with ECLASS playing a central role in all these areas.
New content for ECLASS Release14.0!
+++ UPDATE: Release 14.0 will be available already at the end of November 2023 +++
ECLASS 14.0: Significant extensions with strong partners from the building industry
Building Information Modeling (BIM) offers many opportunities for process optimization. The ECLASS e.V. has actively focused on the developments in the building industry for some years now and has identified potential partners with whom the ECLASS Standard has now been jointly extended in accordance to the requirements of the building industry.
Significance of the Digital Twin in the engineering of machinery and equipment
Interview with Timm Hauschke, ECLASS Board Member and Director Master Data Business at Eplan