Building materials that are reused in a circular economy context are often non-standard because previous usage has altered their original properties. Material matching algorithms aid design and construction by matching components in stock with those needed in a design. The efficiency of these matches is assessed based on factors such as waste, logistics, and structural applicability. In this paper, we evaluate the efficacy and practicality for design evolution of construction-relevant optimisation goals. We evaluate goals based on their construction-time and design time results, using a software pipeline optimising both the mapping and design. One design was also constructed based on the optimised matching, to assess additional considerations when working component-specific designs. Based on difficulties and inefficiencies observed during fabrication, we propose two alternate matching strategies and compare their effects on the chosen factors. The study reveals that component allocation systems frequently overlook the need for both contingency planning and redundancy in the construction process. Additionally, inaccuracies in inventory tracking can significantly compromise the feasibility of the planned design. The stability of these design assistive techniques strongly affects their ability to be applied in large-volume projects. This implies the need for a new set of objective factors to be incorporated into existing methods of design optimisation.