AI-based Scrap Analysis

Analyzing Scrap with Artificial Intelligence (AI)

In view of the sheer volume of data in the Smart Factory, people will tend to lose track — but not artificial intelligence. This is exactly where the mApp AI-based Scrap Analysis comes into play, which analyzes enormous amounts of collected order data to identify the manufacturing conditions leading to strikingly bad or particularly good scrap rates.

The mApp analyzes the factors influencing the scrap rate and clearly visualizes them. Drill-down functions analyze the data down to the last detail. The analysis can also be made for specific machines, tools, articles, or materials. The time range analyzed can be set as required. Development and distribution of scrap rates for selected combinations of influencing factors provide new insights, identify correlations, and reveal countermeasures.

Your benefits

Use historical data to identify opportunities in order to improve your scrap rate. Artificial intelligence supports you by means of innovative analysis tools.

Analyzing Scrap with Artificial Intelligence (AI) promotes sustainability

A consistent and AI-based analysis of scrap helps uncover interrelationships and save material, energy, and other production resources.

Technical information

The mApp AI-based Scrap Analysis is included in the Quality Management category of HYDRA X and in the AI Suite.

The mApp uses data of the Virtual Production Reality (ViPR) of MPDV's Manufacturing Integration Platform (MIP)

AI-based Scrap Analysis in the MIP ecosystem

Quality and scrap are essential topics of the Smart Factory. MPDV provides the following mApps for this purpose:

• Work Order Controlling: Production KPIs and post calculation
• Predictive Quality: Predicting product quality with AI
• In-Production Inspection: In-production inspection
• Quality Analysis & Statisticst: Quality Analysis & Statisticsn

#quality #analytics #artificialintelligence #aisuite #smartfactory #hydra