Supplier Selection Criteria and Methods in Supply Chain (A Statistical Approach)

DOI

10.2991/aebmr.k.200812.002How to use a DOI?

Keywords

vendor selection criteria, multivariate ANOVA, desirability function

Abstract

In today’s competitive environment, vendor selection is considered as a strategic issue in the effective management of a supply chain. Keeping in view the strategic importance of the supplier’s role in the functioning of supply chains the researchers have developed number of criteria, methods and models for supplier selection. This study involves a comprehensive review of different methods of supplier selection available in the literature and suggests a new approach based on statistical analysis on different characteristics of the supplier. The suggested approach includes the use of Multivariate analysis of variance and Duncan’s multiple range test to assess the variations of the suppliers with respect to their different quality characteristics and use of desirability function to measure the performance status of different suppliers considering all the critical characteristics. The calculated desirability value measured in a 0-1 scale provides a single performance index for each supplier. The methodology was implemented in an Indian industry. It has an immense scope of application in supplier selection problem to improve the performance of supply chain management system.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nandini Das
PY  - 2020
DA  - 2020/08/13
TI  - Supplier Selection Criteria and Methods in Supply Chain (A Statistical Approach)
BT  - Proceedings of the 3rd Asia Pacific Management Research Conference (APMRC 2019)
PB  - Atlantis Press
SP  - 6
EP  - 10
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200812.002
DO  - 10.2991/aebmr.k.200812.002
ID  - Das2020
ER  -