An Integrated Method to Acquire Technological Evolution Potential to Stimulate Innovative Product Design

Fast and effective forecasting of the new generation products is key to enhancing competitiveness a company in market. Although technological evolution laws theory solution inventive problems (TRIZ) have been used predict potential states for innovation, there lack methods select best law consistently with product replacement update, acquiring potentially technologies solutions, which relies heavily on designers’ experience makes it impossible designers efficiently use stimulate innovation. Aimed bridge this gap, paper proposes an integrated method consisting three main steps, combining back propagation neural network (BPNN), international patent classification (IPC) knowledge company’s distance. The technical first searched by BPNN. functional verbs effects IPC are then extracted Spyder-integrated development environment. Finally, distance analogous sources solutions database. final innovative design determined based ideality. proposed applied steel pipe-cutting machine verify its feasibility. reduces dependence provides way access cross-domain technologies, providing systematic approach motivate design.