Learning from Research Methodology for Supplier Selection with Multi Attribute Decision Making Techniques

Authors

  • Nital Nirmal Assistant Professor, Production Engineering Department, Shantilal Shah Engineering College, Bhavnagar, Gujarat

Keywords:

Supply Chain Management (SCM), Supplier Selection Problem (SSP), Multi Attribute Decision Making (MADM), Machine Tool Selection, Decision Support System (DSS), Selection Methodology, Supplier Selection Problem (SSP)

Abstract

In Today’s Competitive Environment it is impossible to successfully produce low cost & high quality
product, without satisfactory supplier. Thus one of the important purchasing decisions in smoothly running Supply Chain
Management (SCM) is Supplier Selection. In this paper, the research paper pattern with the importance of SCM and its
different Modelling areas, Supplier Selection Methodology (SSM) to learn the different research work carried out for
supplier selection criteria evaluation and show the various methods for supplier criteria evaluation and ranking in SCM
field have been discussed. In the current research paper authors aims to learning on the research carried out in the
various the Multi Attribute Decision Making (MADM) techniques for supplier selection for supplier selection, same
methodologies will be applied for selecting supplier in the Manufacturing, Pharmaceutical, Automobile, Ship Building,
Agricultural Industries, FMCG (Fast Moving Consumer Goods), etc. where supplier plays vital role for the industries.

Published

2017-09-25

How to Cite

Nital Nirmal. (2017). Learning from Research Methodology for Supplier Selection with Multi Attribute Decision Making Techniques. International Journal of Advance Engineering and Research Development (IJAERD), 4(9), 1–3. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/3574