| With the concept of Made in China 2025,the intelligent equipment manufacturing industry has ushered in vigorous development,the rapid rise of a large number of intelligent equipment manufacturing enterprises,the market competition has become increasingly fierce.At the same time of rapid development of enterprises,the importance of product data for manufacturing has become increasingly prominent.How to manage the basic product data has become a key factor in the forward development of enterprises.XY,as an intelligent equipment manufacturing enterprise,has received the confusion of product data management in recent years,and wants to occupy a place in the increasingly fierce market competition,it must study how to standardize the management of complex product data in order to improve the efficiency of product development,shorten the development cycle and save production costs,improve the company’s market competitiveness.Firstly,it takes XY company as the research object in the paper。It starts from the product data management theory,combines the actual situation of product data management of XY company,collects relevant information through investigation and analysis,and analyzes in detail the basic situation of its R&D product data management,mass production product data management,product change data management and standardized data management.Then,the unreasonable aspects of the current product data management process were identified,and problems such as inaccurate product data definitions,lax control,and unreasonable utilization were found.Then,a set of scientific,reasonable and operable product data management optimization plan was framed to address the root causes of the problems,in order to improve the data management in the product life cycle,shorten the project cycle,and improve the efficiency of product delivery,so that the company can achieve rapid corporate development under the increasingly competitive environment of the industry.Finally,the implementation safeguards are analyzed and summarized to provide a theoretical basis for subsequent continuous optimization. |
