Material selection in product design under risk and uncertainty introducing the conditional logit in the madm framework

To meet all the functional requirements, choosing an appropriate material takes a vital role in product design. Design is a formulation of information or data (quantitative and qualitative) where some degree of risk and uncertainty always exist. Utility value or probabilistic approach is well suited to address the risk and uncertainty. This article explores the selection of materials under risk and uncertainty introducing the Conditional Logit (CLGT) in rational decision-making framework. A cryogenic storage tank and a spar of a human-powered aircraft (HPA) are considered as case studies to check the suitability of the proposed CLGT model in material selection. The result shows the best material for the spar of HPA and for the cryogenic storage tank are composite material and austenitic steel (SS 301 FH) respectively those are consistent with the real-world practice. The results are compared with other multi-attributed decision-making (MADM) methods of previous works with sensitivity analysis.