ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Supplier selection based on supply chain ecosystem, performance and risk criteria

Viswanadham, N and Samvedi, A (2013) Supplier selection based on supply chain ecosystem, performance and risk criteria. In: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 51 (21). pp. 6484-6498.

[img] PDF
Int_Jou_Pro_Res_51-21_6484_2013.pdf - Published Version
Restricted to Registered users only

Download (316kB) | Request a copy
Official URL: http://dx.doi.org/10.1080/00207543.2013.825056

Abstract

A supply chain ecosystem consists of the elements of the supply chain and the entities that influence the goods, information and financial flows through the supply chain. These influences come through government regulations, human, financial and natural resources, logistics infrastructure and management, etc., and thus affect the supply chain performance. Similarly, all the ecosystem elements also contribute to the risk. The aim of this paper is to identify both performances-based and risk-based decision criteria, which are important and critical to the supply chain. A two step approach using fuzzy AHP and fuzzy technique for order of preference by similarity to ideal solution has been proposed for multi-criteria decision-making and illustrated using a numerical example. The first step does the selection without considering risks and then in the next step suppliers are ranked according to their risk profiles. Later, the two ranks are consolidated into one. In subsequent section, the method is also extended for multi-tier supplier selection. In short, we are presenting a method for the design of a resilient supply chain, in this paper.

Item Type: Journal Article
Publication: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Publisher: TAYLOR & FRANCIS LTD
Additional Information: copyright for this article belongs to TAYLOR & FRANCIS LTD
Keywords: supply chain risk management; supply chain ecosystem; supplier selection; fuzzy AHP; fuzzy TOPSIS
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 22 Nov 2013 11:27
Last Modified: 22 Nov 2013 11:27
URI: http://eprints.iisc.ac.in/id/eprint/47782

Actions (login required)

View Item View Item