Optimizing 3D printing facility selection for ubiquitous manufacturing using an evolving fuzzy big data analytics approach

Author:

Chen Tin-Chih Toly,Lin Chi-Wei,Chiu Min-Chi

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference44 articles.

1. Wang YC, Chen T, Yeh YL (2019) Advanced 3D printing technologies for the aircraft industry: A fuzzy systematic approach for assessing the critical factors. Int J Adv Manufac Technol 105:4059–4069

2. Chung KC, Shu MH, Wang YC, Huang JC, Lau EM (2020) 3D printing technologies applied to the manufacturing of aircraft components. Modern Physics Letters B 34(07n09):2040018

3. EOS (2023) Additive manufacturing for aviation locking shaft for the aircraft door of an Airbus A350. https://www.eos.info/en/all-3d-printing-applications/aerospace-3d-printing/aircraft

4. Chen TCT (2022) Defect pattern analysis, yield learning modeling, and yield prediction. Production Planning and Control in Semiconductor Manufacturing: Big Data Analytics and Industry 4.0 Applications. p. 63–76

5. Klein S, Avery M, Adams G, Pollard S, Simske S (2014) From scan to print: 3D printing as a means for replication. NIP Digital Fabrication Conference 1:417–421

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