Study of the Input Variables for BP NN Based Supplier Evaluation Model


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The development of the BP NN is part of the research project of internet based intelligent supplier selection and evaluation system. According to obtained information from Google Search Engine, the possible suppliers will be classified and put into the data file which is used for the further evaluation. In the paper the BP NN model used for supplied evaluation is introduced first, and then the six input variables have been discussed for the BP NN model. The raw data of each variable has to be converted into BP NN model accepted format for training and application. The conversion methods for each valuable have been discussed in the paper as well. Final, the test results show the successful system running.



Key Engineering Materials (Volumes 460-461)

Edited by:

Yanwen Wu




J. Chen et al., "Study of the Input Variables for BP NN Based Supplier Evaluation Model", Key Engineering Materials, Vols. 460-461, pp. 420-427, 2011

Online since:

January 2011




[1] Jian Chen Internet based Intelligent Supplier Selection and Evaluation System, PhD Thesis, University of Derby, U.K., (2007).

[2] Jian, Chen, M.H. Wu Developing an Internet Based Intelligent Supplier Selection System, Applied Mechanics and Materials (Volumes 10 - 12), pp.58-61,(2008).


[3] Humphreys, Paul, Huang, George, Cadden, Trevor A web-based supplier evaluation tool for the product development process, Industrial Management & Data System, Vol. 195 No 2, pp.147-163, (2005).


[4] Hokey, Min International Supplier Selection: A multi-attribute utility approach, International Journal of Physical Distribution & Logistics Management, Vol. 24 No. 5, pp.24-33, (1994).


[5] Khurrum, S. B and Faizul, H. (2002), Supplier selection problem: a comparison of the total cost of ownership and analytic hierarchy process approaches, Supply Chain Management: An International Journal, Vol. 7 No. 3, pp.126-135.


[6] Alessandro ancarani, Supplier evaluation in local public services: Application of a model of value for customer, Journal of Purchasing and Supply Management, Volume 15, Pages 33-42, (2009).


[7] Seong-Jong Joo, George H. Messer Jr, Ronald Bradshaw, The performance evaluation of existing suppliers using data envelopment analysis, International Journal of Services and Operations Management, Volume 5, Pages: 429 - 443, (2009).


[8] William Ho, Xiaowei Xu, Prasanta K. Dey, Multi-criteria decision making approaches for supplier evaluation and selection: A literature review, European Journal of Operational Research, Volume 202, Pages 16-24, (2010).


[9] I. Chamodrakas, D. Batis, D. Martakos, Supplier selection in electronic marketplaces using satisficing and fuzzy AHP, Expert Systems with Applications, Volume 37, Pages 490-498, (2010).


[10] Paul W. Th. Ghijsen, Janjaap Semeijn, Saskia Ernstson, Supplier satisfaction and commitment: The role of influence strategies and supplier development, Journal of Purchasing and Supply Management, Volume 16, , Pages 17-26, (2010).


[11] Carlos Torres-Fuchslocher, Understanding the development of technology-intensive suppliers in resource-based developing economies, Research Policy, Volume 39, Pages 268-277, (2010).


[12] Chung-Chi Hsieh, Yu-Te Liu, Quality investment and inspection policy in a supplier–manufacturer supply chain, European Journal of Operational Research, Volume 202, pp.717-729, (2010).