Operational performance evaluation is essential for improving competitiveness and sustainability in textile enterprises, which are characterized by complex production processes, high resource consumption, and stringent quality require ments. Traditional evaluation approaches relying mainly on financial indicators cannot comprehensively reflect multidi mensional operational characteristics such as production efficiency, quality stability, cost control, and environmental performance. To address this limitation, this study proposes a textile enterprise operational performance evaluation model based on multi criteria decision making (MCDM) methods. First, a hierarchical evaluation index system is constructed from four dimensions: production efficiency, quality management, cost control, and sustainability capability. Second, the analytic hierarchy process (AHP) is applied to determine subjective indicator weights, while the entropy method is used to derive objective weights from enterprise operational data. A combined weighting approach is then developed to integrate expert knowledge and data information. Finally, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed to evaluate and rank operational performance. A case study involving five medium sized textile manufacturing enterprises from the same industrial region was selected to demonstrate the feasibility and reliability of the proposed model. While this selection ensures comparability, the lack of variation in technological conditions could lead to a small divergence degree in the entropy method, which might undermine the objective weight calculation. Future research could expand the case study to include enterprises from different regions or with varying technological conditions to enhance the representativeness and robustness of the findings Results indicate that the model effectively differentiates performance levels and identifies key influencing factors, particularly equipment utilization, defect rate, and energy consumption intensity. The proposed approach provides a scientific and practical decision support tool for textile enterprise performance assessment and operational improvement.

textile enterprise, operational performance, multi criteria decision making, ahp entropy weighting, topsis