Background: This research articulates the development of a robust condition assessment model designed for each component of the sanitation infrastructure to enhance decision-making strategies for the maintenance, rehabilitation, and replacement. The proposed model synergistically combines the Analytical Hierarchy Process (AHP) with Multi-Attribute Utility Theory (MAUT) to provide a systematic evaluation framework. A comprehensive set of 59 influential factors was identified through an extensive literature review and consultations with field experts, distributed as follows: 15 factors for sewer networks, 10 for pumping stations, 11 for force-main lines, and 23 for wastewater treatment facilities. The significance of each factor is quantified using the AHP method, wherein each factor is further broken down into measurable attributes. Experts assign weights to these attributes, reflecting their relative importance in the assessment process. These attributes are then evaluated using the MAUT method. The overall condition of each sanitation system component is quantified through a Condition Assessment Index (CAI). The model's validity was substantiated through its application in 12 distinct sanitation projects across various administrative divisions in Egypt, involving three projects per system component. The feedback from project owners affirmed the model's methodological soundness, clarity, and utility in pinpointing key operational issues. Implementing this model significantly enhances the efficacy of decision-making processes and fortifies strategic planning within sanitation management. This alignment of theoretical frameworks with practical applications paves the way for improved sustainability and operational efficiency in sanitation systems management