Application of fuzzy AHP - TOPSIS for ranking additive manufacturing processes for microfabrication

Purpose - The purpose of this study is to rank additive manufacturing (AM) processes for microfabrication using integrated fuzzy analytic hierarchy process (AHP)-technique for order of preference by similarity to ideal solution (TOPSIS). Design/methodology/approach - AM technology selection is formulated as multi-criteria decision-making (MCDM) problem and ranking is obtained using fuzzy AHP-TOPSIS. Five candidate processes considered are laser-induced forward transfer (LIFT), microstereolithography, micro-selective laser sintering (micro-SLS), inkjet, micro 3D printing. Findings - Criteria weights are obtained using fuzzy AHP, and ranking is obtained using fuzzy TOPSIS. The top ranked criteria include material compatibility, geometrical complexity and minimum feature size. The ranking sequence is LIFT > microstereolithography > micro-SLS > inkjet > micro-3D printing. Research limitations/implications - In the present study, ten criteria and five alternatives are used. In future, additional criteria and alternatives could be considered in line with technological advancements. Practical implications - The generated ranking enabled the selection of appropriate AM process for microfabrication. Originality/value - The application of hybrid MCDM approach for ranking AM processes for microfabrication is the contribution of the study.