Estimation of the remanufacturing cost of engineering machinery hydraulic cylinder

DOI

10.2991/icaicte-15.2015.94How to use a DOI?

Keywords

remanufacturing; engineering machinery; cylinder; cost estimation; the neural network

Abstract

The remanufacturing cost of estimation, the accuracy of the estimates and the time it takes to produce cost estimates are important factors to remanufacturing organizations. This paper constructed and trained a back-propagation (BP) neural network to forecast the remanufacturing cost of engineering machinery hydraulic cylinder. According to hydraulic cylinder remanufacturing process, 11 cost-related features have been identified and quantified. Neural networks prediction model was set up with features as input and the cost as the output. The network was trained and validated using 15 samples. The testing results on another 1 sample are promising, which the prediction errors were in the acceptable range. The research provided a feasible method for remanufacturing cost forecast of the engineering machinery hydraulic cylinder, which can be used in setting the remanufactured parts prices in many situations.

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/).

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TY  - CONF
AU  - Qin Pin-pin
AU  - Sun Yun
AU  - Shu Jian-wei
AU  - Yang Chun-lan
PY  - 2015/08
DA  - 2015/08
TI  - Estimation of the remanufacturing cost of engineering machinery hydraulic cylinder
BT  - Proceedings of the 2015 3d International Conference on Advanced Information and Communication Technology for Education
PB  - Atlantis Press
SP  - 403
EP  - 408
SN  - 2352-538X
UR  - https://doi.org/10.2991/icaicte-15.2015.94
DO  - 10.2991/icaicte-15.2015.94
ID  - Pin-pin2015/08
ER  -