The concept of innovation has increased importance in the industrial
environment to maintain a competitive advantage in the global market.
Thousand innovation projects are proposed daily to create or rethink new
or existing products. All this change directly impacts the whole
manufacturing system, supply chain, and deliverables. The
decision-making process to choose which innovation project will bring
better benefits or opportunities follows the criteria of the company’s
managers. However, the criteria are subjective or without relevant
information for a bold decision, leading to a wrong decision. Based on
this context, this research proposed a Fuzzy-QFD approach to assess and
prioritise innovation projects based on 40 criteria divided by faces of
innovation (desirability, technical feasibility, and economic
feasibility) and maturity levels (ideation, preparation, validation,
incubation). This approach was tested in two innovation projects in the
metal-mechanical industry to determine the priority between of them. As
a result, Project 01 has a higher maturity level than Project 02,
proving the benefit of the proposed approach to support the
decision-making process in a Metal-Mechanical industry.