Abstract
Bioprinting deals with layer-by-layer generation of organs or parts of organs by additive manufacturing, and the materials used for the purpose contain living cells. Different bioprinting processes offer different capabilities in terms of cell viability, the structural integrity of the printed parts, physical properties of the materials that can be handled, etc. So, for a given type of bioprinting material, selection of the most suitable bioprinting process to optimize the biological as well as the mechanical properties requires trade-offs. In this paper, a fuzzy-TOPSIS MCDM process has been applied for this purpose. Characteristics of various bioprinting processes have been summarized and sorted before fuzzification, and for any set of required characteristics, the MCDM tool can identify the ideal solution, i.e., the solution having the least Euclidean distance from the positive ideal solution and the largest Euclidean distance from the negative ideal solution using TOPSIS method.
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Mukherjee, S., Kumar, J.P. (2020). Application of an MCDM Tool for Selection of 3D Bioprinting Processes. In: Deepak, B., Parhi, D., Jena, P. (eds) Innovative Product Design and Intelligent Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-2696-1_76
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