A good operating state of large equipment in construction projects is the key to ensuring the construction period, improving the project performance, and effectively reducing project costs. Hence, the problem of supplier selection for large equipment maintenance of construction enterprises has elicited extensive attention from scholars in the industry. The uncontrollable factors affecting large equipment maintenance in construction projects are numerous due to the complicated construction conditions of construction projects. Scientific selection of appropriate equipment maintenance suppliers can provide more reliable technical support and maintenance services for the operation safety and safety of large equipment during construction. In this study, the main factors influencing supplier selection for large equipment maintenance of construction enterprises were comprehensively combed. With the supplier selection of a top-10 Chinese construction enterprise for large equipment maintenance as a case, the factors influencing supplier selection were analyzed using analytic hierarchy process (AHP) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). The group benefit value, individual regret value, and profit ratio were calculated, and schemes were compared and sorted. Results showed that the weights of the first-level indexes influencing supplier selection for large equipment maintenance of construction enterprises were sorted as enterprise competence (0.3321)>enterprise performance (0.2205)>service level (0.1748)>maintenance price (0.1381)>equipment quality (0.1345). Among the second-level indexes, the timely equipment maintainability, informatization level, and equipment maintenance price achieved the maximum weights. VIKOR-based calculation results revealed that supplier D ranked first, so it was selected by the construction enterprise as the supplier for large equipment maintenance of construction enterprises. On this basis, the practicability and operability of AHP and VIKOR in the scientific selection of suppliers were proved. The obtained conclusions are of important reference values for enriching the evaluation index system for construction enterprises to select large equipment suppliers, improving the quality of suppliers cooperating with construction enterprises, and enhancing the equipment management and maintenance efficiency of construction enterprises. © 2022 School of Science, IHU. All Rights Reserved.