Modern automotive platforms must serve multiple market segments amid rapid technological change and stringent regulation, making early concept selection a multi-criteria, product-line problem. This paper presents a repeatable workflow that integrates Model-Based Product Line Engineering (MBPLE), Multi-Criteria Decision Analysis (MCDA), and enterprise visualization. A Systems Modeling Language (SysML) 150% vehicle architecture in Cameo captures powertrain, chassis, and Advanced Driver Assistance Systems (ADAS) variability plus baseline and segment-specific requirements. Parametric models compute vehicle-level attributes (e.g., cost, mass, braking capacity, detection performance, Technology Readiness Level (TRL)) and enforce segment limits. A multi-attribute value theory (MAVT) framework model is implemented as constraint blocks to normalize attributes and aggregate stakeholder-elicited weights into an overall score per configuration. Cameo Trade Study sweeps the design space, exports a configuration–criteria dataset, and Power Business Intelligence (BI) dashboards enable interactive cost–value views, requirement compliance, and shortlist comparisons. Selected concepts are fed back into Cameo as feature configurations, improving traceability, scalability across product lines, and alignment between engineering models and management decisions.