Analysis of a decision support system for supplier selection in glove industry

ABSTRACT

Sensitivity Analysis is a method to determine how possible changes or errors in parameter values affect model outputs. This study evaluates the AHP based decision support system used for supplier selection in a glove manufacturing industry by performing a sensitivity analysis. Uniqueness of this study is that it deals with the sensitivity analysis of criteria used for supplier selection during COVID pandemic. The pandemic has altered the weightages of factors considered for supplier selection in a normal times. Expert Choice software is used to analyze the sensitivity of these parameters. The study facilitates the decision maker to understand and experiment on the effect of criterion weights on ranking of the suppliers. This makes the decision maker confident about the decisions in both favorable and unfavorable conditions. © 2022