Title: Fuzzy statistical approach for vendor selection in Supply Chain

Authors: Rajesh K. Singh, Pravin Kumar, Vikas Gupta

Addresses: Indian Institute of Foreign Trade (IIFT), B-21, Kutub Institutional Area, Delhi 110016, India. ' Mechanical Engineering Department, Delhi College of Engineering, Delhi 110042, India. ' Aeronautical Development Agency, Ministry of Defence, Government of India, Bangalore 560017, India

Abstract: Supplier selection has been the focus of researchers and practitioners in the past studies on supply-chain management. Numerous multiple criteria decision-making approaches have been used to select the supplier and allocate an appropriate quota to them. This paper tries to illustrate a case of supplier selection and quota allocation under uncertain conditions for the success of Supply Chain (SC). Integration of standard scores (z-value) and linear programming are proposed in integrated form to consider both tangible and intangible factors in choosing the best vendors and placing the optimum order quantities among them using fuzzy mathematical approach. This approach can help the management in deciding the quota for different vendors under multiobjectives and uncertain conditions.

Keywords: VSP; vendor selection problem; standard score; z-score; fuzzy logic; linear programming; supply chain management; SCM; supplier selection; quota allocation; uncertainty.

DOI: 10.1504/IJLSM.2010.035036

International Journal of Logistics Systems and Management, 2010 Vol.7 No.3, pp.286 - 301

Published online: 01 Sep 2010 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article