Supply Chain Enhancement Using Improved Chaid Algorithm for Classifying the Customer Groups

Abstract

Lot of Companies is involving in the activities of the Supply Chain that is will used for different functions like company process management and relation between the suppliers and customers agents. The decision-tree based approach is used to make learn and recognize the logical methods of a tree structure. A state-of-the-art supply chain management [8] gives the coding rules as well as the Logical rules features needed by the system. Each attribute is classified and tested during the layout analysis and Logical features are collected and compared to the company's synthetic data set. The Agent-Based Modeling method is employed in the study is the Improved Chi-squared Automatic Interaction Detection" (I-CHAID method). All the user needs are tested around 50 dataset attribute contents belonging to the SCM with I-CHAID method; this will be representing the lower error rate for determining the logical labels are less than 5%. And also the efficiency like precision, recall, error rate will calculate and explains in detail functioning of I-CHAID with respect to the company's supply chain management.