| Issue |
MATEC Web Conf.
Volume 214, 2018
2018 2nd International Conference on Information Processing and Control Engineering (ICIPCE 2018)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 6 | |
| Section | Mechanical Design and Digital Manufacturing | |
| DOI | https://doi.org/10.1051/matecconf/201821404005 | |
| Published online | 15 October 2018 | |
The Lean Management of Spare Parts in Automotive Manufacturing
1
No.8 Boxing Road, Economic Technological Development Area (BDA), Beijing, China
2
No.8 Boxing Road, Economic Technological Development Area (BDA), Beijing, China
Spare part management is one of the most important work for enterprises, especially for manufacturing enterprises; however, the spare part management problems trouble enterprise operators a lot. In this article, implementation methods of lean spare parts management are illuminated. Spare parts purchase process is declared to reduce the purchasing cost and inventory value. We had established a suitable lean spare parts inventory management model for consumable parts, wear parts, insurance parts and accident parts. In addition, methods of lean spare parts management had been created base on optimized supply chain, ERP and integrating repeated material inventory. We used SAP-iPro system and self-developed system to manage spare parts, so that warehouse management process, spare parts purchase process and maintenance process are standardized. According to theory analysis and practice, the remarkable economic benefit is created for enterprise by the means of optimizing spare parts distribution, standardizing and scientific spare parts management.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.