Finally, we verify our design decisions with Finite Element Analysis. We use the Concept Exploration Framework to systematically gather information about each component, and the compromise Decision Support Problem to generate satisficing solutions under uncertainty. We arrange the components in the order that they receive impact energy and then find satisficing solutions for the foam liner to achieve the system-level goals as close as possible, and then we adjust the targets for the composite shell to reduce the helmet weight without a substantial loss in performance. The method is goal-oriented because we first identify the end performance system level goals for the helmet, namely, dissipate impact energy, minimize impulse, and minimize helmet weight. more We design two components of an American football helmet (composite shell and foam liner) to illustrate the efficacy of a goal-oriented, inverse decision-based design method for multi-component product design. We design two components of an American football helmet (composite shell and foam liner) to illus. The efficacy of PDSIDES is demonstrated using a Hot Rod Rolling System (HRRS) design example. In this paper, we extend the ontological decision templates to a computational platform that provides knowledge-based decision support for three types of users, namely, Template Creators, Template Editors, and Template Implementers, in original design, adaptive design, and variant design respectively. PDSIDES is built on our earlier work that are anchored in modeling decision-related knowledge with templates using ontology to facilitate execution and reuse. To tackle this, we propose a Knowledge-Based Platform for Decision Support in the Design of Engineering Systems (PDSIDES). One of the challenges in providing design decision support is that the decision workflows embody various degrees of complexity due to the inherent complexity embodied in engineering systems. more We hypothesize that by providing decision support for designers in industry we can speed up the design process and facilitate the creation of quality cost-effective designs. We hypothesize that by providing decision support for designers in industry we can speed up the d.