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Production
The production sector is about precision, efficiency and flexibility. From planning work preparation to generating technical drawings, every process must run smoothly to meet deadlines and control costs. By using RPA and AI, production companies can streamline these processes, reduce errors and respond more quickly to changes.
Key Challenges in the Manufacturing Sector
1. Work preparation
Planning and preparing production orders requires close coordination of materials, machines, and personnel. This process is often time-consuming and error-prone.
2. Technical Documentation
Generating and managing technical drawings and specifications is an essential but complex task. Manual processing may result in delays and inaccuracies.
3. Cost and Time Efficiency
Optimizing production processes to control costs and reduce lead times is an ongoing challenge in the sector.
4. Quality Assurance
Maintaining consistency and quality in production processes requires strict controls and preventing deviations.
Automated Work Preparation
RPA can automate repetitive tasks in work preparation, such as generating production orders, planning materials and assigning staff. AI can analyse historical data to predict what resources are needed for future production cycles, allowing companies to plan and respond to changing demand more efficiently.
Generate Technical Drawings
Using RPA, technical drawings can be generated automatically and checked for consistency. AI can analyze these drawings to identify potential design flaws, preventing costly corrections later in the process. This speeds up the approval process and reduces turnaround times.
Real-Time Cost Analysis
RPA can continuously collect and process production data to provide an up-to-date picture of costs. AI models can analyse this data to identify inefficiencies and suggest cost savings, such as optimizing material use or reducing machine downtime.
Automate Quality Controls
RPA can collect inspection data and generate reports, while AI detects anomalies in production through visual analysis or comparing data with quality standards. This ensures that problems are identified and resolved early, leading to higher consistency and customer satisfaction.
Follow purchase orders
Knowing when products arrive is crucial in the production process. RPA can help identify which purchase orders have not yet been confirmed and request them from suppliers. The confirmed delivery date can then be written back to the system, so that the relevant information is available to the other departments.
