In today’s knowledge-driven landscape, documentation of organizational knowledge plays a pivotal role in the development of knowledge-based organizations. As knowledge management gains prominence, selecting an appropriate Electronic Document Management System (EDMS) has become a strategic concern for organizations seeking to store, retrieve, and utilize institutional knowledge efficiently. This study aims to develop an effective framework for prioritizing and selecting a suitable EDMS for organizational knowledge documentation. To this end, a Multi-Criteria Decision-Making (MCDM) approach was adopted, combining the Delphi method for criteria and alternative identification with the Analytic Network Process (ANP) for weighting and prioritization. The novelty of this research lies in the integration of the Delphi technique with ANP in evaluating EDMS options under interdependent criteria. Previous studies often lacked a structured and operational model that considered interrelationships among selection criteria, which this study addresses. The Tehran Urban and Suburban Railway Operation Company (Metro) was selected as the case study. Based on expert input, relevant evaluation criteria and alternative EDMS platforms were identified. Pairwise comparisons and network modeling were conducted using Super Decisions software. The results indicated that the Segalsun system, due to its technical and domain-specific capabilities, particularly in managing engineering and specialized documents, ranked highest among the alternatives. Furthermore, sensitivity analysis confirmed the stability of the prioritization outcomes under varying criteria weights. The proposed model not only provides a step-by-step procedure for EDMS selection in technical organizations but also demonstrates high reliability and applicability for similar entities aiming to align document management with strategic knowledge management goals.