This study examined significant progress in intelligent manufacturing (IM) technologies in collaboration with a prominent producer of electric power transformers. The study particularly focused on the role of intelligent supply chain management (SCM) technologies in optimizing the manufacturing process. The intelligent SCM modules incorporated in the intelligent machine demonstration utilize an ontology to establish linguistic linkages across key aspects such as intelligent supplier selection, component ordering, and intelligent product quality prediction. These modules are essential in synchronizing orders with analytic hierarchy process analysis and multi-objective integer optimization, thereby improving both the efficiency and quality of the manufacturing process. One of the key challenges faced by decision-makers is identifying multiple feasible solutions while adhering to stringent operational constraints. To provide further insights, this study also includes a comprehensive literature review of the transformer manufacturing process, covering advanced technologies, intelligent SCM, optimization techniques in transformer design, and various IM methods. This review critically examines the advantages and limitations of existing solutions, identifying areas where further advancements are needed. By integrating intelligent supply chain technologies with manufacturing processes, this study highlights potential improvements that can enhance operational performance and decision-making in transformer production.