In order to shorten the development lead-time and enable the evaluation of many alternative conceptual scenarios, the use of aggregated modeling techniques is required. On the other hand, it is believed that well-informed decision making in conceptual production systems development can be elevated to a new level through the application of multi-objective optimization together with techniques for post-optimality analysis and Visualization of high-dimensional data. An industrial case study regarding the conceptual design of an AGV system has been carried out to evaluate the usefulness of such a combined methodology. The case study, based on a real-world industrial decision-making problem, demonstrates how knowledge can be extracted from optimization data in order to support decision-making which cannot be easily done with other industrial practices.