Research on Intelligent Decision Support System for Supply Chain Management Based on Large-Scale Transformer Modeling

Abstract

The study presents an intelligent decision support system for supply chain management (IDSS-SCM) based on large-scale transformer model. To recover the customerknowledge and make decisiontoproduce electric-mechanical machinery, this study investigates a highly developedprocess along with anecessary transformer manufacturer. To construct SCM sections in an advanced developedstructure, an ontology exampleestablishes the terminology linkage. The assessment of product quality (APQ) and supplier evaluation with component procurement (SE-CP) are the main sections that will be explored in this study. Purchases corresponding to the greatest supplier alternatives are dispatched by the SE-CP section using an evolutionary-driven pre arrangedmethod. The APQ sectionpredicts the quality of the final output using recurrent networks (RN) and support vector regression (SVR). The section reduces the amount of time it takes for the business to determine with accuracy if the product satisfies standards of quality. The study's sections can expand to encompass additional smart production processes for mass-customization-based universal expensive machinery manufacturers.