Challenge of part management – Cleanse 2: Semantic/Functional classification

Target group:

• Standards department
• Engineering and development
• Purchasing
• Process planning and production scheduling

Content:

• Semantic/Functional hotspot analysis (part DNA)
• Semantic/Functional classification structure – Best Practices for creating it
• Semantic/Functional teach-in
• Automatic assignment of parts to classes
• Rules and automatisms for filling in class-specific attributes
• Rules and automatisms for harmonizing (standardizing) of material short texts, generic names, basic data texts, etc.
• Analyze duplicates

 

You think increasing data quality is a bottomless pit? You think classifying, cleansing data, standardizing, consolidating and harmonizing are tedious, futile efforts? We can put your mind at rest: Yes, it costs time, but far less than you fear and the potential benefits easily outweigh it by a factor of 10.

Gain insight into the infinite automatisms of data cleansing and classification of parts. A brand new method is the automatic classification using teach-in based on the semantic ID (part DNA). The semantic ID of a part is the equivalent of a geometric shape of a 3D model. The semantic ID is extracted from the part master data and is project specific. By teaching the PartExplorer, parts with similar part DNA ”move” fully automated to the corresponding part class. This is innovative part management.

See how easy it is to create rules for filling in class-specific attributes and to cleanse material short texts. Based on this, the determination of price and cost drivers is just peanuts, so that you can specifically calculate target prices or manufacturing costs and conduct supplier negotiations. This way you reduce and master your proliferation of parts and variants immediately, without prior laborious preliminary work. We will show you how.