Automotive Product Data Management Research

China's automotive industry has entered a steady, rapid growth stage based on mass consumption, the prospect of the growth is very broad; at the same time, the fierce competition in automotive industry makes automotive enterprise to become bigger and stronger, and will inevitably move toward the road of international competition. In order to evade management risks, automobile companies must adopt the means and strategies of reducing development cycle, collaborative development, shortening delivery cycles, adopting order production, global e-procurement, ranging supply and production and outsourcing logistics. The product data is the basis of all data streams of automotive enterprise, so the raising of product data management level not only can optimize the product design process, simultaneously develop at home and abroad and on product and manufacturing engineering, but also improve the efficiency of purchase supply chain and manufacturing department, improve the level of car sales and after-sales service and increase customer satisfaction. On the contrary, if the product data is inaccurate or data management is messy, it will lead to the unsuccessfulness of collaborative research and development, extend the development cycle, the impact of these will significantly magnify in downstream departments, which will not only produce a huge waste, make the production line stop and wrong or leaking installation, but also may lead to the serious result of product recall and enterprise's reputation declining.Aimed at the features of a lot of kinds, amount and characteristics, and high integrated and modular degree of automotive components, this article studied the product data management (PDM) of automotive enterprise from the perspective of data business management. This article comprehensive analyzed product data strategy, product configuration management, product BOM (Bill of material) management, product change management, product data management, synchronous development management, collaboratively research and develop management, product release management, vehicle parameter data management, product order management, data document management, vehicle parameter management, and studied the data business programming, data rules and data management process of automotive enterprise in product lifecycle to manage product data orderly and efficiently.