- The challenge:
Production managers know the balancing act between efficiency and quality assurance: Production processes must run smoothly and as error-free as possible without compromising product quality, while optimizing costs and reducing unplanned downtime. This requires continuous fine-tuning and monitoring of production processes. - The solution:
AI technologies are revolutionizing visual inspection. The systems analyze production data to detect patterns and even the smallest anomalies in production. This enables rapid error detection, efficient resource utilization, and continuous quality improvement. - Our approach:
SAP DM’s Visual Inspection feature offers a solution for AI-driven visual inspection. Our experts from the areas of Process, AI, IIoT, QM, ERP, and Smart Manufacturing support you in every phase of implementation – from strategic consulting to implementation, whether on-premise or in the cloud. In our MHPDeepDive, we will show you how to implement this end-to-end integration and show how you can use AI to make your production processes more efficient.
The manufacturing industry is undergoing change. Due to the rapid progress in AI development, AI applications are becoming increasingly important in production – because companies that make meaningful use of AI applications secure important competitive advantages over their competitors. For example, using AI to automate visual inspection can significantly increase your efficiency and quality. AI-enabled systems analyze visual data and reveal patterns and trends that often remain unidentified if inspections are performed manually. The result is process optimization, more efficient resource utilization, and increased performance.
A key to this transformation is the SAP Digital Manufacturing (SAP DM) cloud solution. With the out-of-the-box “Visual Inspection” feature, existing users are able to implement AI-enabled visual inspection at any time. In our DeepDive “AI power for production: How to increase efficiency and quality using visual inspection,” we examine not only how to implement AI-based detection of anomalies in production processes, but also the associated challenges and how to successfully overcome these.
If you are a production manager or quality manager who uses SAP, you will benefit from our valuable insights into how to overcome challenges such as data preparation, AI expertise, and system integration.
This knowledge is crucial to realize the full benefits of AI-based systems in manufacturing.
Let our Digital Supply Chain experts pass on all of their insights into this revolutionary technology in the upcoming MHPDeepDive “AI power for production: How to increase efficiency and quality using visual inspection”
Speaker
Elena Temirbulatova
Manager | Digital Supply Chain Solutions I MHPRoman Gonzalez
Consultant | Digital Supply Chain Solutions I MHPTom Ihme
Consultant | Digital Factory | MHP