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Gaining control over the “black art” of NC programming
Technology Category
- Functional Applications - Manufacturing Execution Systems (MES)
- Functional Applications - Product Lifecycle Management Systems (PLM)
Applicable Industries
- Equipment & Machinery
Applicable Functions
- Product Research & Development
Use Cases
- Factory Operations Visibility & Intelligence
- Manufacturing System Automation
- Predictive Maintenance
Services
- Software Design & Engineering Services
- System Integration
The Challenge
Demag Delaval Industrial Turbomachinery’s Lincoln site faced a significant bottleneck in NC programming, which was a time-consuming process requiring highly trained engineers. This bottleneck was critical as it affected the delivery speed of their gas turbine engines. Management aimed to accelerate the NC programming process and reduce dependency on specialists to improve competitiveness and eliminate non-value-added processes.
About The Customer
Demag Delaval Industrial Turbomachinery Limited, a wholly owned subsidiary of Siemens, is a full-service provider of power systems, equipment, and services. The company’s Lincoln site specializes in the production of industrial gas turbines. As a subsidiary of Siemens, Demag Delaval benefits from advanced technological support and resources, allowing it to focus on continuous improvement and cost reduction in its manufacturing processes. The company has a strong emphasis on leveraging technology to streamline operations and enhance productivity.
The Solution
The adoption of NX CAM software provided a solution to the NC programming bottleneck. NX CAM, with its built-in knowledge capture technology, allowed the company to incorporate its manufacturing know-how and industry best practices into the CAM system. This information was reused in the form of manufacturing templates and process assistants. Templates captured the specifics of machining processes, while process assistants automated NC programming further by guiding programmers through the steps involved in creating an NC program. This approach significantly reduced the learning curve for new NC programmers and standardized operations, making the process more efficient and less dependent on specialists.
Operational Impact
Quantitative Benefit
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