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Growing Science » Uncertain Supply Chain Management » Identification and ranking effective factors on establishment of green supply chain management in railway industry

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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 2 Issue 4 pp. 293-302 , 2014

Identification and ranking effective factors on establishment of green supply chain management in railway industry Pages 293-302 Right click to download the paper Download PDF

Authors: Gholamreza Hashemzadeh, Mahmoud Modiri, Zakieh Rahimi

Keywords: DEMATEL, Environmental Requirements, Fuzzy TOPSIS, Green Supply Chain Management, Supply Chain

Abstract: Globalization, intensification of governmental and non-governmental organization & apos; s provisions and squeeze and the demand of clients about concerning environmental affairs have motivated many organizations to start considering Green Supply Chain management in order to facilitate environmental and economic functions. Administration of green supply chain management unifies the management of supply chain with environment requirements during the functioning of levels of supply chain. This paper aims to identify green supply change management & apos; s factors in order to facilitate implementation of green supply chain management in rail industry. Thus, the effective factors of green supply chain management establishment are extracted and the method of interactions between sub-scales is studied by DEMATEL technique. The result specifies that reduction of production loss sub-scale is the most effective factor on other agents. In addition, the effective elements peered out by fuzzy TOPSIS that the scale of loss management stands on the first ranking and improvement of production process and interior environment management scales stand on the second and the third level and other scales follow them.

How to cite this paper
Hashemzadeh, G., Modiri, M & Rahimi, Z. (2014). Identification and ranking effective factors on establishment of green supply chain management in railway industry.Uncertain Supply Chain Management, 2(4), 293-302.

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Journal: Uncertain Supply Chain Management | Year: 2014 | Volume: 2 | Issue: 4 | Views: 2608 | Reviews: 0

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