Using Data Envelopment Analysis for Green Supplier Selection in Manufacturing under Vague Environment

Article Preview

Abstract:

In these days, considering the growth of knowledge about environmental protection and green issues in manufacturing, green supplier selection would be the central component in the management of supply chain. This paper intends to apply data envelopment analysis for supplier selection considering environmental merits. The suppliers’ performances with respect to criteria are not pure numbers and considered in linguistic terms according to decision makers’ opinion. To handle the subjectivity of decision makers’ assessments, fuzzy logic has been applied. A case study is done to present the application of the method.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 622-623)

Pages:

1682-1685

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] R. Kuo, et al., Integration of Artificial Neural Network and MADA Methods for Green Supplier Selection, Journal of Cleaner Production, (2010).

DOI: 10.1016/j.jclepro.2010.03.020

Google Scholar

[2] A. Amindoust, Ahmed, S., Saghafinia, A., Supplier Selection and Performance Evaluation of Telecommunication Company, American J. of Engineering and Applied Sciences, vol. 5, pp.49-52, (2012).

Google Scholar

[3] S. Talluri and R. C. Baker, A multi-phase mathematical programming approach for effective supply chain design, European Journal of Operational Research, vol. 141, pp.544-558, (2002).

DOI: 10.1016/s0377-2217(01)00277-6

Google Scholar

[4] S. Talluri and R. Narasimhan, A methodology for strategic sourcing, European Journal of Operational Research, vol. 154, pp.236-250, (2004).

DOI: 10.1016/s0377-2217(02)00649-5

Google Scholar

[5] R. F. Saen, Using super-efficiency analysis for ranking suppliers in the presence of volume discount offers, International Journal of Physical Distribution & Logistics Management, vol. 38, pp.637-651, (2008).

DOI: 10.1108/09600030810915152

Google Scholar

[6] R. M. Garfamy, A data envelopment analysis approach based on total cost of ownership for supplier selection, Journal of Enterprise Information Management, vol. 19, pp.662-678, (2006).

DOI: 10.1108/17410390610708526

Google Scholar

[7] J. Liu, et al., Using data envelopment analysis to compare suppliers for supplier selection and performance improvement, Supply Chain Management: An International Journal, vol. 5, pp.143-150, (2000).

DOI: 10.1108/13598540010338893

Google Scholar

[8] A. Amindoust, Ahmed, S., Saghafinia, A., Bahreininejad, A., Sustainable supplier selection: A ranking model based on fuzzy inference system, Applied Soft Computing, vol. 12, pp.1668-1677, (2012).

DOI: 10.1016/j.asoc.2012.01.023

Google Scholar

[9] L. A. Zadeh, Fuzzy sets*, Information and control, vol. 8, pp.338-353, (1965).

Google Scholar

[10] A. Amindoust, Ahmed, S., Ketabi, S., Evaluation and Selection of Supplier in Supply Chain Network Based on DEA, The 11th Asia Pacific Industrial Engineering and Management Systems Conference, (2010).

Google Scholar