Optimization of the Inventory Control Model of Auto Enterprise Parts Based on AHP
- DOI
- 10.2991/meic-15.2015.46How to use a DOI?
- Keywords
- Analytic hierarchy process (AHP); Inventory control; ABC classification;Optimization; Combined weight
- Abstract
1. Objective: In order to solve inventory control problems of auto parts in automobile industry, such as overstock, stock capital was exorbitant and so on;2. Methods: Value, stock out loss degree, purchasing lead time, profit rate and demand rate were selected as the evaluation criterion. At the same time, taken into account the difference of operational characteristics between the auto parts and repair parts of manufacturing enterprises auto parts were divided into quick-wear parts, repair parts, basic parts, and accident parts in accordance with consumption rule. The optimization model based on AHP was set up and analyzed. Finally, Auto parts were re- classified with the sequencing result of combined weights and ABC method in order to control them in different degree.3. Results: Consistence Ratio C.R.=0.0469<0.1, the global consistency of the judgment matrix was acceptable. The four parts were ordered according to the combined weights, that was B3> B4> B2> B1.4. Conclusion: Compared with traditional inventory control methods, more influence factors were considered, the hierarchical structure model with auto parts characteristics was set up which would make the parts classification more accurate and the inventory structure more reasonable.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xuelian Wang AU - Xiaoling Li PY - 2015/04 DA - 2015/04 TI - Optimization of the Inventory Control Model of Auto Enterprise Parts Based on AHP BT - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 189 EP - 193 SN - 2352-5401 UR - https://doi.org/10.2991/meic-15.2015.46 DO - 10.2991/meic-15.2015.46 ID - Wang2015/04 ER -