**Chapter 2**

*Quality Control - Intelligent Manufacturing, Robust Design and Charts*

in industry 4.0 production

10.1016/j.procir.2019.02.012

[24] Yam RCM, Tse PW, Li L, Tu P. Intelligent predictive decision support system for condition-based maintenance. International Journal of Advanced Manufacturing Technology.

2001;**17**:383-391

2018;**423**:012073

pp:386-390

systems - the idea of computational intelligence methods application. Procedia CIRP. 2019;**79**:63-67. DOI:

[25] Nagata F, Tokuno K, Otsuka A, Ikeda T, Ochi H, Watanabe K, et al. Design tool of deep convolutional neural network for intelligent visual inspection. IOP Conference Series: Material Science and Engineering.

[26] Zhao T, Tiejun S, Xiao H,

Linling S. Intelligent FMEA based on model FIORN. In: Annual Reliability and Maintainability Symposium (RAMS'04); 2004, Los Angeles; DOI:10.1109/RAMS.2004.1285480,

[27] Guimarees ACF, Ebecken NFF. FuzzyFTA: A fuzzy fault tree system for uncertainty analysis. Annals of Nuclear Energy. 1999;**26;6**:523-532. DOI: 10.1016/S0306-4549(98)00070-X

and Hough transform. Journal of Manufacturing System. 2019;**51**:52-60. DOI: 10.1016/j.jmsy.2019.03.002

[16] Chesalin AN, Grodzenskiy SY, Nilovand MY. Tu P V. intelligent quality management tools for digital production and knowledge management

system for their application. IOP Conference Series: Materials Science and Engineering. 2020;**862**. DOI: 10.1088/1757-899X/862/4/0420321

[17] Shen W, Norrie D H, Barthes J-P. Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing. CRC Press; 2001. ISBN 9780748408825.

[18] Hossein IS, Hamid R. Intelligent QFD; a new approach for improving customer satisfaction. Lambert Academic Publishing. 2014

[19] Bevilacqua. M, Ciarapica F F, Giacchetta G. A fuzzy-QFD approach to supplier selection. Journal of Purchasing and Supply Management.

[20] Simić D, Svirčević V, Simić S. A hybrid evolutionary model for supplier assessment and selection in inbound logistics. Journal of Applied Logic.

[21] Kuo. R J, Wang Y C, Tien F C. Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production. 2010;18;12;1161-1170 – DOI:10.1016/j.jclepro.2010.03.020

[22] Albers A, Gladysz B, Pinner T, Butenko V, Stürmlinger T. Procedure for defining the system of objectives in the initial phase of an industry 4.0 project focusing on intelligent quality control systems. Procedia CIRP. 2016;**52**:262- 267. DOI: 10.1016/j.procir.2016.07.067

[23] Zabinski T, Mączka T, Kluska J, Madera M, Sęp J. Condition monitoring

978-3659649356

2006;12;1;14-27

2015;**13;2**:138-147

**16**
