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Authors: Zhen Huang ; Yiran Zhang ; Haoxiong Yang ; Yongsheng Zhou and Li Cui

Affiliation: Beijing Technology and Business University, China

Keyword(s): MRO, Procurement mode, Industrial logistics, Neural network, Clustering.

Abstract: Maintenance, Repair and operations (MRO) have following features: large sum of types, relatively low requirement, and high transition cost. It costs companies a lot of money and human resource on MRO procurement. In order to make MRO procurement more efficient and scientific, this paper compared the cost of two MRO supply chain modes to get a scope for each mode. And then SOM neural networks method can be used to cluster the materials. Different types of materials take advantage of different procurement mode.

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Paper citation in several formats:
Huang, Z.; Zhang, Y.; Yang, H.; Zhou, Y. and Cui, L. (2011). NEURAL NETWORK-BASED PROCUREMENT MODE SELECTION OF MRO MATERIALS. In Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS 2011) - Volume 4: DMLSC; ISBN 978-989-8425-55-3; ISSN 2184-4992, SciTePress, pages 523-526. DOI: 10.5220/0003589205230526

@conference{dmlsc11,
author={Zhen Huang. and Yiran Zhang. and Haoxiong Yang. and Yongsheng Zhou. and Li Cui.},
title={NEURAL NETWORK-BASED PROCUREMENT MODE SELECTION OF MRO MATERIALS},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS 2011) - Volume 4: DMLSC},
year={2011},
pages={523-526},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003589205230526},
isbn={978-989-8425-55-3},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems (ICEIS 2011) - Volume 4: DMLSC
TI - NEURAL NETWORK-BASED PROCUREMENT MODE SELECTION OF MRO MATERIALS
SN - 978-989-8425-55-3
IS - 2184-4992
AU - Huang, Z.
AU - Zhang, Y.
AU - Yang, H.
AU - Zhou, Y.
AU - Cui, L.
PY - 2011
SP - 523
EP - 526
DO - 10.5220/0003589205230526
PB - SciTePress