Process Monitoring Applied to Performance Indicators of Manufacturing Process
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-47058-5_18
Reference19 articles.
1. Francisco, M.G., Canciglieri Junior, O., Sant’Anna, AMO. Design for six sigma integrated product development reference model through a systematic review. International Journal of Lean Six Sigma. 27511(4), 767–795, 2020. https://doi.org/10.1108/IJLSS-05-2019-0052
2. Sanchez, M., Exposito, E., Aguilar, J. Industry 4.0: survey from a system integration perspective, International Journal of Computer Integrated Manufacturing, 33(10), 1017–1041. 2020. https://doi.org/10.1080/0951192X.2020.1775295
3. Acosta, SM., Oliveira, RMA., Sant’Anna, AMO. Machine learning algorithms applied to intelligent tire manufacturing. International Journal of Computer Integrated Manufacturing, ahead-of-print, 2023. https://doi.org/10.1080/0951192X.2023.2177734
4. Reyes, JAG., Eldridge, S., Barber, KD., Meier, HS. Overall equipment effectiveness (OEE) and process capability (PC) measures. International Journal of Quality & Reliability Management, 27(1): 48–62, 2010. https://doi.org/10.1108/02656711011009308
5. Cheng, CY. A novel approach of information visualization for machine operation states in industrial 4.0. Computers & Industrial Engineering, 125, 563–573, 2018. https://doi.org/10.1016/j.cie.2018.05.024
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