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.
![]() |
PDF
Int_Jou_Pro_Res_51-21_6484_2013.pdf - Published Version Restricted to Registered users only Download (316kB) | Request a copy |
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 |