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Development of a leanness monitoring system via RFID: an industrial case study.

, , and . IJMTM, 26 (1/2/3/4): 1-20 (2012)

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Revolution of 3D printing technology and application of Six Sigma methodologies to optimize the output quality characteristics., and . ICIT, page 904-909. IEEE, (2016)Artificial-neural-networks-based surface roughness Pokayoke system for end-milling operations., , and . Neurocomputing, 71 (4-6): 544-549 (2008)The development of an in-process surface roughness adaptive control system in turning operations., , and . J. Intelligent Manufacturing, 18 (3): 301-311 (2007)An effective fuzzy-nets training scheme for monitoring tool breakage.. J. Intelligent Manufacturing, 11 (1): 85-101 (2000)Neural Networks-Based In-Process Surface Roughness Adaptive Control System in Turning Operations., and . ISNN (2), volume 3973 of Lecture Notes in Computer Science, page 970-975. Springer, (2006)Fuzzy-nets based approach to using an accelerometer for an in-process surface roughness prediction system in milling operations., and . Int. J. Computer Integrated Manufacturing, 13 (4): 358-368 (2000)Development of a leanness monitoring system via RFID: an industrial case study., , and . IJMTM, 26 (1/2/3/4): 1-20 (2012)Development of a fuzzy-nets-based in-process surface roughness adaptive control system in turning operations., , and . Expert Syst. Appl., 30 (4): 592-604 (2006)Development of a fuzzy-nets-based surface roughness prediction system in turning operations., and . Computers & Industrial Engineering, 53 (1): 30-42 (2007)A tool breakage detection system using an accelerometer sensor., and . J. Intelligent Manufacturing, 10 (2): 187-197 (1999)