<![CDATA[Contractor selection in mining infrastructure projects requires balancing technical competence, safety, financial capacity, and commercial competitiveness. Conventional qualification screening followed by commercial evaluation may overlook differences in contractor capabilities. This study aimed to develop and evaluate a hybrid Analytic Hierarchy Process–Technique for Order Preference by Similarity to Ideal Solution (AHP–TOPSIS) framework for infrastructure contractor selection at PT XYZ, an Indonesian coal mining company. A mixed-methods approach combined a literature review, semi-structured interviews, expert questionnaires, and tender documentation. Eleven experts and stakeholders participated in the criteria assessment and validation. AHP was used to determine evaluation weights, while TOPSIS was used to rank contractors across three infrastructure projects. Comparative analysis and strategic stakeholder validation were conducted to assess organizational applicability. Technical Capability received the highest weight (25.1%), followed by Health, Safety, Environment, and Security (24.9%), Commercial Competitiveness (18.4%), Financial Capability (15.4%), Performance History (9.4%), and Local Capability and Participation (6.8%). The overall consistency ratio was 0.5%. Contractors SXX, DXX, and MXX ranked first in their respective projects, with preference values of 0.759, 0.718, and 0.685, respectively. These results highlight project-specific suitability and capability considerations beyond price alone. Stakeholder validation supported the framework’s applicability while emphasizing the importance of managerial discretion, collaboration, and reliable data. The framework provides structured decision support for mining procurement; however, its broader generalizability and effects on project performance require further evaluation.]]>
