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Every design engineer has an experience of facing common problems of short lead times, clear specification, sufficient design criteria, material costing, environmental regulations, and product reliability constraints. However, for maintaining sustainable growth of a company, a new product should be time-in-market that keeping business growth strategy. Under such environment, it is clear that more comprehensive multi-criteria decision support systems are required to assist the designer to develop green product to achieve a goal in short period of time. This highlights the need for a more effective smart system that will collect, analyze and provide solution to design engineer. Overall, a variety of artificial intelligent (AI), multi-criteria decision support (MCDS) system, expert system, design for environment (DfE) methods are available, however they limited in their application to solve the life cycle assessment (LCA) problems and design problems in early stage of design with uncertain data in early stage of design. By examination the research focus, this study aims an understanding of environmental impact and how far from design criteria. Furthermore, investigating the LCA of green product and generating fundamental research information on their environmental impact and product reliability. With the availability of faster and more user-friendly computers and sophistical software, it has been possible to use simulation modeling to investigate the parameter effectively. The significance of this research is that development of framework by using LCA, theory of Inventive of Problems solving (TRIZ) to measure and examine product life cycle assessment, inventive problems solver.