Web questionnaire validation and vendor selection using Adaptive Neuro Fuzzy Inference System

Framing the questionnaire for supplier evaluation and selection is a serious problem in the automobile industry. Particularly, in an e-procurement scenario, the instrument has to be completely tested and verified before publishing the questionnaire for supplier evaluation. Therefore this paper presents an approach for validating the questionnaire using Factor analysis from the data set obtained from the manual records. The factors chosen for supplier evaluation are Cost, Quality, Service, Relationship, Organization and Past relationship. Initially, the 48 questions were confined to the questionnaire which was then confined into 9 components by Factor analysis. Finally the Adaptive Neuro Fuzzy Inference System was trained and tested to rate the supplier using the data collected from the e-procurement system.