Fuzzy collaborative intelligence fuzzy analytic hierarchy process approach for selecting suitable three-dimensional prin
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METHODOLOGIES AND APPLICATION
Fuzzy collaborative intelligence fuzzy analytic hierarchy process approach for selecting suitable three-dimensional printers Toly Chen1
•
Hsin-Chieh Wu2
Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Three-dimensional (3D) printing presents numerous opportunities for improving rapid prototyping and mass customization. However, the existing methods for assessing the performance of a 3D printer are associated with several problems. To solve these problems, a fuzzy collaborative intelligence fuzzy analytic hierarchy process (FAHP) approach is proposed in this study for assessing the performance of a 3D printer. In the proposed methodology, the alpha-cut operations method is first applied to derive the fuzzy priority of each criterion for each decision maker. Based on the derived priorities, the fuzzy-weighted average is then computed to assess the overall performance of each 3D printer for each decision maker. Thereafter, fuzzy intersection is applied to aggregate the assessment results of the decision makers. Finally, the center-ofgravity method is applied to defuzzify the aggregation result. By using the proposed methodology, the consensus among decision makers can be guaranteed. The proposed fuzzy collaborative intelligence FAHP approach has been applied to a real case of 10 3D printers. The experimental results indicated that the accuracy of the proposed methodology is superior to that of the existing methods, which yielded different ranking results owing to the use of approximation. Keywords Three-dimensional printing Fuzzy collaborative intelligence Alpha-cut operations Fuzzy-weighted average Fuzzy analytic hierarchy process
1 Introduction Three-dimensional (3D) printers are widely used in various domains for rapid prototyping and mass customization (Rengier et al. 2010; Espalin et al. 2014; Martin et al. 2017; C¸alık 2020). A 3D printer can be used to print various types of 3D objects or parts. Equivalently, a 3D object or part can be printed on various types of 3D printers. In addition, 3D printing technologies are continuously evolving with time (Groll et al. 2016). The features of 3D printers emphasized thus far may not be as important in the future (Kwak et al. 2018; Wang et al. 2019). This temporal evolution of 3D
Communicated by V. Loia. & Toly Chen [email protected] 1
Department of Industrial Engineering and Management, National Chiao Tung University, 1001, University Road, Hsinchu, Taiwan
2
Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung, Taiwan
printer features makes it difficult for users to select a suitable 3D printer (Rong et al. 2018; Garrett 2019), and this problem has not been addressed adequately in the literature. Most studies in the literature have focused on the selection of 3D printing (or additive manufacturing) technologies suitable for specific applications (e.g., Panda et al. 2014; Peko et al. 2015; Shi et al. 2017; Ro
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