For business-to-business (B2B) companies, selecting new product concepts is vital to new product development (NPD), since it significantly contributes to the ultimate success and reputation of the product in terms of quality and function. The research problem is defining the best solution of new product’s design concept selection within high competition and resources’ limitation by mathematical approaches. The main objective of this study is developing an integrated analytical approach, combining quality function deployment (QFD) and analytic hierarchy process (AHP) approach, and data envelopment analysis (DEA) to enhance the effectiveness of design product decisions. The proposed approach focuses on mathematical methods to comprehensively evaluate and strategically select the best new product concept while considering the features of the B2B product and the available information during concept selection. The best new concept is selected by the combined scores derived from the concept competitiveness (quality function deployment—analytic hierarchy process) and the design development efficiency (data envelopment analysis). Finally, the design alternatives are classified into four categories by quadrant analysis for design concept management. The benefit of this approach—combining three mathematical models together for the best concept’s solution.

The poisonous European mushroom Amanita phalloides (the “death cap”) is invading California. Whether the death caps’ toxic secondary metabolites are evolving as it invades is unknown. We developed a bioinformatic pipeline to identify the MSDIN genes underpinning toxicity and probed 88 death cap genomes from an invasive Californian population and from the European range, discovering a previously unsuspected diversity of MSDINs made up of both core and accessory elements. Each death cap individual possesses a unique suite of MSDINs, and toxin genes are significantly differentiated between Californian and European samples. MSDIN genes are maintained by strong natural selection, and chemical profiling confirms MSDIN genes are expressed and result in distinct phenotypes; our chemical profiling also identified a new MSDIN peptide. Toxin genes are physically clustered within genomes. We contextualize our discoveries by probing for MSDINs in genomes from across the order Agaricales, revealing MSDIN diversity originated in independent gene family expansions among genera. We also report the discovery of an MSDIN in an Amanita outside the “lethal Amanitas” clade. Finally, the identification of an MSDIN gene and its associated processing gene (POPB) in Clavaria fumosa suggest the origin of MSDINs is older than previously suspected. The dynamic evolution of MSDINs underscores their potential to mediate ecological interactions, implicating MSDINs in the ongoing invasion. Our data change the understanding of the evolutionary history of poisonous mushrooms, emphasizing striking parallels to convergently evolved animal toxins. Our pipeline provides a roadmap for exploring secondary metabolites in other basidiomycetes and will enable drug prospecting.