About the client
Yanfeng, a leading global automotive supplier, is one of the largest Tier 1 automotive suppliers in the world with over 240 locations[SK1] in more than 20 countries and a team of over 55,000 employees. With an annual turnover of 15.9 billion dollars, Yanfeng is one of the top players in the industry. Despite these impressive figures, the company recognized significant optimization potential in its previous manual transport planning and optimization, which was primarily based on Excel.
Yanfeng’s product range includes a variety of interior solutions such as dashboards, door panels, roof systems, consoles, and seats, designed to provide comfort, functionality, and aesthetic design. The company places a strong focus on innovation and technology to develop future-oriented solutions such as intelligent cabin concepts, sustainable materials, and advanced manufacturing technologies.
With its global presence and extensive expertise in research and development, Yanfeng is driving the transformation of automotive interiors. The company strives to improve the driving experience through its products and technologies while contributing to sustainability and safety in the automotive sector. Yanfeng’s commitment to quality, innovation, and customer satisfaction has made it a valued partner in the automotive industry.
The shared success story
Challenge
- In the long term, automate global transport planning and optimization and exploit the full potential of inbound.
- Find an innovative and long-term solution to reduce costs and CO2
Initial situation
- Specific packaging rules and restrictions are a pain point in manual Excel planning
- Huge untapped potential due to only average milk run planning methods
Our solution
- Consolidation of the MRP results in transport-optimized delivery call-offs using the the S2data optimization software, fully integrated with QAD
Benefit for customers
- Increase in transport utilization by up to 21.2%
- Saving every fifth transport
- As a result, costs and emissions are reduced significantly