SAIC Volkswagen Automotive Co., Ltd., Shanghai, China
With the changes in the world economic environment, the vigorous development of network information and sensor technology, the combination of traditional manufacturing and advanced technology has produced tremendous changes. After decades of development, intelligent manufacturing has gradually become popular among people, and has achieved amazing results in a large number of enterprise practices. The main purpose of this paper is to study the optimization of equipment maintenance and spare parts management in automobile intelligent manufacturing. This article is mainly based on the WBS work decomposition method, combined with the product life cycle theory, ABC classification method, demand forecasting method, inventory management method, etc., described and introduced in detail and properly. Experiments show that C-type parts (1/3 of the parts are wire harness connectors) only account for 5% of the entire sales. Therefore, in the case of limited resources, C-type spare parts can be managed in a differentiated manner according to needs, such as a small amount of stock, or by referring to past experience to order C-type spare parts with less than 5 quantities.
Automobile Enterprises, Intelligent Manufacturing, Equipment Maintenance, Spare Parts Management
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