<p>The selection of blue-collar personnel is crucial for ensuring sustainability in manufacturing processes, requiring a systematic approach to determining the most relevant evaluation criteria. Therefore, the literature on personnel selection was comprehensively reviewed and twenty common personnel evaluation criteria that are generally preferred in the literature were identified. These criteria were reviewed by four human resources (HR) experts focusing on blue-collar personnel selection. The criteria weights were determined using Analytic Hierarchy Process (AHP) and Step-wise Weight Assessment Ratio Analysis (SWARA) in an interval-valued neutrosophic (IVN) environment, with results integrated through the Copeland Score method. The top ten criteria were then weighted using the same method. Five candidates for a tire production line were then assessed using the IVN-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, and the robustness of the proposed approach was demonstrated by comparing the final rankings with those obtained using Evaluation Based on Distance from Average Solution (EDAS) and Combinative Distance-Based Assessment (CODAS) methods under IVN environment. Additionally, the stage where IVN-AHP and IVN-SWARA results were integrated was also validated using Borda's Rule. This study not only introduces a structured multi-criteria decision-making framework tailored for blue-collar personnel selection but also provides a comparative analysis to ensure the reliability of the methodology, offering guidance for researchers and practitioners in industrial HR management.</p>