AUTHOR(S)

Natural Fibers are one of the important growing markets in the domain of bio-composites’ processing, due to an unprecedented increase in environmental and economic challenges. As a result, proper selection of the natural fibers that meet the requirements for environment-friendly bio-composites is an important phase as it can heavily enhance the achievement of low-cost design for better sustainable societies. In general, Multi-Criteria Decision Making (MCDM) is considered as a powerful tool that helps designers and decision-makers to accomplish their intended goals. The current research paper extends a material selection model that incorporates Weibull distribution in the Analytical Hierarchical Process (AHP). The strength of this model lies in its ability to account the dispersion in material properties objectively and consider a pre-defined quality level at the time of the material selection process. A case study is presented in this study to illustrate the potential and applicability of the proposed method. The results show that the ranking is dynamic and is highly sensitive to the scenarios of six sigma levels. From the analytical outcomes, the study found that NENDRAN BANANA is the most appropriate fiber that can be used in the hybridization process to design a passenger-vehicle center-lever parking-brake component with a reasonable defect per million opportunities.