Azadnia, Amir Hossein and Saman, Muhamad Zameri Mat and Wong, Kuan Yew and Ghadimi, Pezhman and Zakuan, Norhayati
(2012)
Sustainable Supplier Selection based on Self-organizing Map Neural Network and Multi Criteria Decision Making Approaches.
Procedia - Social and Behavioral Sciences, 65.
pp. 879-884.
ISSN 1877-0428
Abstract
Due to increasing public awareness, government regulation and market pressure on sustainability issues,
companies have found out that in order to have a competitive edge, sustainable operational activities
should be adopted with their supply chain. Sustainable supplier selection as a crucial decision can affect
the overall degree of sustainability in a supply chain. In this paper, an integrated approach of clustering
and multi criteria decision making methods have been proposed in order to solve sustainable supplier
selection problem. Firstly, self- organizing map as one of the well-known neural network methods has
been utilized in order to cluster and prequalify the suppliers based on customer demand attribute and
sustainability elements. Then, multi criteria decision making methods will be utilized in order to rank the
cluster of suppliers to make coordination between them and customers. A case study has been carried out
in order to show the efficiency of proposed approach.
| Item Type: |
Article
|
| Keywords: |
Sustainability; supplier selection; self-organizing map; multi-criteria decision making; |
| Academic Unit: |
Faculty of Social Sciences > School of Business |
| Item ID: |
15914 |
| Identification Number: |
https://doi.org/10.1016/j.sbspro.2012.11.214 |
| Depositing User: |
Amir Azadnia
|
| Date Deposited: |
04 May 2022 10:46 |
| Journal or Publication Title: |
Procedia - Social and Behavioral Sciences |
| Publisher: |
Elsevier |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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