The automotive rubber part supply chain competes in the global market alongside trading alliances based on the lowest cost, high quality, and rapid shipment. The supply chain includes multiple subcontractors manufacturing the same models. Ensuring product quality and timely delivery is crucial for assessment and consistency. A recurring challenge is selecting and assessing the right subcontractors each year, an operation that remains fluid and unpredictable due to fluctuating market demand and supply capabilities. This paper proposes a new concept of subcontractor selection development based on the scientific method using FAHP and the ANFIS system to recommend the priority of subcontractors for general product manufacturing and specific product production. After reviewing the criteria of subcontractor evaluation, the input membership functions and fuzzy rules are created and loaded into the fuzzy designer in MATLAB. The results are tested, verified, and modified to fit the expert recommendation. The article explores strategies to encourage the SME supply chain to adopt a new system for annually selecting subcontractors and evaluating existing ones.