下载PDF

Aegis Software > 实例探究 > Case Study: Lear Automotive Electronics and Electrical Products (Shanghai) Co., Ltd.

Case Study: Lear Automotive Electronics and Electrical Products (Shanghai) Co., Ltd.

技术

功能应用 - 制造执行系统 (MES)

适用行业

汽车

适用功能

离散制造
质量保证

用例

自动化制造系统
预测性维护

服务

系统集成
软件设计与工程服务

挑战

Lear Shanghai, a subsidiary of the global Lear Corporation, was looking to eliminate rework and shorten new product introduction (NPI) time to improve their overall manufacturing process. As a supplier of automotive electrical distribution systems, their customers’ expectations for product quality and traceability were a key priority. The manufacturing process is quite complex, and the company’s main products include central control boxes, tire pressure monitoring systems, remote keyless entry units, and door sensor systems. Decision makers at the management level must balance their customers’ needs for product quality, on-time delivery, and traceability while minimizing their own production costs and increasing throughput. In 2008, as a new facility, it was crucial that decision makers choose an MES software that could be quickly and easily deployed throughout the facility to minimize the time it took to run as a fully functioning operation.

关于客户

Lear Automotive Electronics and Electrical Products in Shanghai, China, is a subsidiary of the global Lear Corporation. Established in 2008, the company is one of the world’s leading suppliers of automotive seating and electrical distribution systems. Their main products include central control boxes, tire pressure monitoring systems, remote keyless entry units, and door sensor systems. The company's customers span some of the top automotive manufacturers in the world, including BMW, General Motors, Volkswagen, Geely, and Ford. As a new facility in 2008, it was crucial for Lear Shanghai to quickly establish a fully functioning operation that could meet their customers’ expectations for product quality, on-time delivery, and traceability.

解决方案

Lear Shanghai deployed Aegis Manufacturing Execution System (MES) software to improve their manufacturing process. The software's 95% out-of-the-box configurability required only a small amount of integration to achieve its full potential in operations at Lear. This simplified deployment compared to the other options considered, and it allowed for Lear to achieve a fully functional Shanghai operation in just one month. The software's unique ability to import, clean, and merge BOM data with the product CAD design data enabled engineers to compare product versions instantly. They could detect errors and changes that would require hours to do manually. This data was then used to rapidly create machine programs, build visual work instructions for operators automatically, and visually design an entire process flow/routing for production. The visuals designed by engineering were then digitally presented paperlessly in production at the right time, right place, and fully automatically.

运营影响

Lear Shanghai has achieved process interlocking by leveraging the process flow operators created in the Aegis NPI module. If a process station is skipped, or a defect is found that requires redirection of a product to rework, the Aegis system will force a re-route of the product to the proper location.
The CAD based visual rework stations enable operators to conduct repair and rework rapidly and accurately by visually mapping defects and repairs directly to actual product elements on the screen via the CAD drawings.
The facility now has more than sixteen real-time analytics dashboards in use on their shop floor and factory offices, each updated immediately as data changes occur. These dashboards allow the engineers to create their own view with simple drag-and-drop functionality that does not require IT support. Employees have instant access to key metrics including line performance, production output, defect information, and first pass yield.

数量效益

Average new product introduction time has been shortened from 24 hours to 6 hours
Rework and debug time have been reduced by 50%
Average assembly rework time has dropped 28%