- Volume 15 Number 4 (2024)
- Volume 15 Number 3 (2024)
- Volume 15 Number 2 (2024)
- Volume 15 Number 1 (2024)
- Volume 14 Number 4 (Nov. 2023)
- Volume 14 Number 3 (Aug. 2023)
- Volume 14 Number 2 (May 2023)
- Volume 14 Number 1 (Feb. 2023)
- Volume 13 Number 4 (Nov. 2022)
- Volume 13 Number 3 (Aug. 2022)
- Volume 13 Number 2 (May 2022)
- Volume 13 Number 1 (Feb. 2022)
- Volume 12 Number 4 (Nov. 2021)
- Volume 12 Number 3 (Aug. 2021)
- Volume 12 Number 2 (May. 2021)
- Volume 12 Number 1 (Feb. 2021)
- Volume 11 Number 6 (Dec. 2020)
- Volume 11 Number 5 (Oct. 2020)
- Volume 11 Number 4 (Aug. 2020)
- Volume 11 Number 3 (Jun. 2020)
- Volume 11 Number 2 (Apr. 2020)
- Volume 11 Number 1 (Feb. 2020)
- Volume 10 Number 6 (Dec. 2019)
- Volume 10 Number 5 (Oct. 2019)
- Volume 10 Number 4 (Aug. 2019)
- Volume 10 Number 3 (Jun. 2019)
- Volume 10 Number 2 (Apr. 2019)
- Volume 10 Number 1 (Feb. 2019)
- Volume 9 Number 6 (Dec. 2018)
- Volume 9 Number 5 (Oct. 2018)
- Volume 9 Number 4 (Aug. 2018)
- Volume 9 Number 3 (Jun. 2018)
- Volume 9 Number 2 (Apr. 2018)
- Volume 9 Number 1 (Feb. 2018)
- Volume 8 Number 6 (Dec. 2017)
- Volume 8 Number 5 (Oct. 2017)
- Volume 8 Number 4 (Aug. 2017)
- Volume 8 Number 3 (Jun. 2017)
- Volume 8 Number 2 (Apr. 2017)
- Volume 8 Number 1 (Feb. 2017)
- Volume 7 Number 6 (Dec. 2016)
- Volume 7 Number 5 (Oct. 2016)
- Volume 7 Number 4 (Aug. 2016)
- Volume 7 Number 3 (Jun. 2016)
- Volume 7 Number 2 (Apr. 2016)
- Volume 7 Number 1 (Feb. 2016)
- Volume 6 Number 6 (Dec. 2015)
- Volume 6 Number 5 (Oct. 2015)
- Volume 6 Number 4 (Aug. 2015)
- Volume 6 Number 3 (Jun. 2015)
- Volume 6 Number 2 (Apr. 2015)
- Volume 6 Number 1 (Feb. 2015)
- Volume 5 Number 6 (Dec. 2014)
- Volume 5 Number 5 (Oct. 2014)
- Volume 5 Number 4 (Aug. 2014)
- Volume 5 Number 3 (Jun. 2014)
- Volume 5 Number 2 (Apr. 2014)
- Volume 5 Number 1 (Feb. 2014)
- Volume 4 Number 6 (Dec. 2013)
- Volume 4 Number 5 (Oct. 2013)
- Volume 4 Number 4 (Aug. 2013)
- Volume 4 Number 3 (Jun. 2013)
- Volume 4 Number 2 (Apr. 2013)
- Volume 4 Number 1 (Feb. 2013)
- Volume 3 Number 6 (Dec. 2012)
- Volume 3 Number 5 (Oct. 2012)
- Volume 3 Number 4 (Aug. 2012)
- Volume 3 Number 3 (Jun. 2012)
- Volume 3 Number 2 (Apr. 2012)
- Volume 3 Number 1 (Feb. 2012)
- Volume 2 Number 6 (Dec. 2011)
- Volume 2 Number 5 (Oct. 2011)
- Volume 2 Number 4 (Aug. 2011)
- Volume 2 Number 3 (Jun. 2011)
- Volume 2 Number 2 (Apr. 2011)
- Volume 2 Number 1 (Feb. 2011)
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
- ISSN: 2010-0248 (Print)
- Abbreviated Title: Int. J. Innov. Manag. Technol.
- Frequency: Quarterly
- DOI: 10.18178/IJIMT
- Editor-in-Chief: Prof. Jin Wang
- Managing Editor: Ms. Nancy Y. Liu
- Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory, Crossref, Electronic Journals Library.
E-mail: editor@ijimt.org
- Article Processing Charge: 500 USD
IJIMT 2013 Vol.4(1): 109-111 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2013.V4.370
DOI: 10.7763/IJIMT.2013.V4.370
A Hybrid Method using Analytic Hierarchical Process and Artificial Neural Network for Supplier Selection
S. H. Tang, N. Hakim, W. Khaksar, M. K. A. Ariffin, S. Sulaiman, and P. S. Pah
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.
Index Terms—Supplier selection, shoes manufacturing, analytic hierarchical process, artificial neural network.
S. H. Tang, W. Khaksar, M. K. A. Ariffin, S. Sulaiman, and P. S. Pah are with the Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia (e-mails: {saihong, khairol, suddin} @eng.upm.edu.my, wkhie@yahoo.com, pinshang@gmail.com).
N. Hakim is with a Malaysian government ministry (e-mail: hakim717@yahoo.com).
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.