Akevono Kohgyo

Akevono Kohgyo Co., Ltd., a Japanese precision machining company serving the automotive sector, faced mounting operational complexity as customer demands for lightweight, high-precision components intensified. The company's business model spans an unusually wide production range — from single prototypes to mass runs of 100,000 units per month — requiring support for diverse machine tools and CNC controllers. When the company invested in a 5-axis machining center to expand capabilities, their incumbent NC programming vendor failed to deliver a working postprocessor after three months, leaving expensive equipment idle and new orders at risk.

Akevono Kohgyo adopted Siemens NX CAM software as its primary CAD/CAM platform to resolve the postprocessor failure and standardize NC programming across its varied machine fleet. Rather than relying on a third-party vendor, the team used NX's built-in Post Builder tool to develop and maintain their own postprocessors — giving them direct control over the link between CAM programs and machine tools. NX was integrated into the full data workflow: importing customer CAD models, generating NC programs, and outputting machining data. The software's geometry healing and tolerance analysis capabilities also helped engineers address common data quality issues — gaps, surface inaccuracies, and missing tolerances — that previously caused downstream NC programming errors and delays.

After deploying NX CAM, Akevono Kohgyo measured machining efficiency improvements ranging from 30% to 80% across operations, depending on part complexity and machine type. The 5-axis machining center, previously stalled by postprocessor failures, was brought fully online — directly enabling the company to take on new customer orders that would otherwise have been declined. Key outcomes include:

• 30–80% improvement in machining efficiency across NC programming workflows
• Successful commissioning of 5-axis equipment that had been non-productive for months
• Expanded order volume following resolution of the postprocessor bottleneck
• Reduced time spent troubleshooting NC errors caused by poor-quality customer data

• Postprocessor control is a strategic asset: outsourcing it to a CAM vendor creates a single point of failure; owning it internally reduces dependency risk.
• Data quality at intake determines downstream efficiency: investing in tools that heal customer CAD models before NC programming avoids compounding errors later.
• Wide production-volume range demands flexible CAM infrastructure: a single platform that scales from prototype to high-volume production simplifies toolpath management and reduces retraining.
• Machine tool investments require validated CAM integration before go-live: validating postprocessor compatibility in parallel with equipment commissioning prevents costly idle time.
• Efficiency gains vary by part complexity — set realistic expectations by benchmarking a representative mix of simple and complex geometries.