Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Research on Configuration Optimization of Multi-echelon Inventory Based on Component Commonality

Authors
Lijun Qiu, Linyu Fu, Qi Dong, Chongyi Liu, Kun Xian, Xinhua Weng
Corresponding Author
Lijun Qiu
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.87How to use a DOI?
Keywords
spare part; component commonality; multi-echelon configuration strategy
Abstract
In view of the repairable spare parts, considering the actual situation that component commonality exists in warship equipment, the requirements of spare parts and sites in all levels are modified. A multi-echelon configuration model of common parts based on METRIC theory is established. The marginal optimization algorithm is used to obtain spare parts. The optimal supply support schemes prove that this model improves the model evaluation accuracy and reduces the total configuration cost under the premise of meeting the requirements of support index, which provides a theoretical basis and decision support for the current equipment to promote the use of component commonality.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.87How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Lijun Qiu
AU  - Linyu Fu
AU  - Qi Dong
AU  - Chongyi Liu
AU  - Kun Xian
AU  - Xinhua Weng
PY  - 2018/02
DA  - 2018/02
TI  - Research on Configuration Optimization of Multi-echelon Inventory Based on Component Commonality
BT  - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.87
DO  - https://doi.org/10.2991/csece-18.2018.87
ID  - Qiu2018/02
ER  -