doi: 10.7763/IJIMT.2013.V4.370
A Hybrid Method using Analytic Hierarchical Process and Artificial Neural Network for Supplier Selection
S. H. Tang1
,
N. Hakim2 ,
W. Khaksar1 ,
M. K. A. Ariffin1 ,
S. Sulaiman1 ,
P. S. Pah1
- 1Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
- 2a Malaysian government ministry.
Abstract
A hybrid approach between the Analytic Hierarchical Process (AHP) and Artificial Neural Network (ANN) has been developed to evaluate and select the best supplier for shoes manufacturing. Firstly, questionnaire was setup based on previous study to obtain supplier selection criteria for shoes manufacturing. The proposed hybrid methodology uses the AHP to determine the local and global weights of criteria, and the ANN method to select the best supplier. In order to grasp this evaluation and selection, result calculated by AHP is compared to the result of ANN.
Keywords
- Supplier selection
- shoes manufacturing
- analytic hierarchical process
- artificial neural network
How to Cite
S. H. Tang, N. Hakim, W. Khaksar, M. K. A. Ariffin, S. Sulaiman, and P. S. Pah, "A Hybrid Method using Analytic Hierarchical Process and Artificial Neural Network for Supplier Selection," International Journal of Innovation, Management and Technology, vol. 4, no. 1, pp. 109-111, 2013. https://doi.org/10.7763/IJIMT.2013.V4.370
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).