New View to Quality Assessment and Decision Making

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This paper contains main principles of function-oriented analysis. This approach may be used to estimate the product quality from the point of view of its consumer properties. The object and its components are studied in terms of the functions they fulfill, which corresponds to the degree of satisfaction of the customer requirements (or expectations). It makes possible to find out the relation between the consumer functions and the product properties and determines the practical ways of quality improvement. It is proved that the function-oriented analysis can be used efficiently for both current metal products and for research and design of up-to-date engineering and manufacturing systems.

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1417-1421

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October 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Handbook of Performability Engineering, ed. by K.B. Mishra, Spriger-Verlag, London, (2008).

Google Scholar

[2] M.G. Filho, E.V. Saes, From time-based competition (TBC) to quick response manufacturing (QRM): the evolution of research aimed at lead time reduction, Int. J. Adv. Manuf. Technol. 64 (2003) 1177-1191.

DOI: 10.1007/s00170-012-4064-9

Google Scholar

[3] D.P. Jeschonowski, Ju. Schmitz, C.M. Wallenburg, J. Weber, Management control systems in logistics and supply chain management: a literature review. Logist. Res. 1 (2009) 113-127.

DOI: 10.1007/s12159-009-0011-z

Google Scholar

[4] A.L. Guiffrida and R. Nagi, Fuzzy set theory applications in production management research: a literature survey, J. Intelligent manufacturing. 9 (1998) 39-56.

Google Scholar

[5] J. Xingyu, S. Xueyan, W. Shijie, W. Wanshan, A new method of quality control for new product development, Appl. Mech. and Mater. 29-32 (2010) 2386-2391.

Google Scholar

[6] A. Korchunov, M. Chukin, A, Lysenin, Methodology of developing mathematical models with fuzzy logic elements for quality indices control, Appl. Mech. and Mater. 436 (2013) 374-381.

DOI: 10.4028/www.scientific.net/amm.436.374

Google Scholar

[7] S.K. Gauri, S. Pal. The principal component analysis (PCA)-based approaches for multi-response optimization: some areas of concerns, Int. J. Adv. Manuf. Technol. 70 (2014) 1874-1887.

DOI: 10.1007/s00170-013-5389-8

Google Scholar

[8] J. Zhongqiu. The intelligent quality control technology system based on the intergration methods of SPC and EPC, Appl. Mech. and Mater. 263-266 (2013) 839-842.

DOI: 10.4028/www.scientific.net/amm.263-266.839

Google Scholar

[9] L. Jun, K. Shulin and L. Pengyi, The study of PNN quality control method based on genetic algorithm, Key Eng. Mater. 467-469 (2011) 2103-2108.

DOI: 10.4028/www.scientific.net/kem.467-469.2103

Google Scholar

[10] Z. Yu, J. Zhou, Quality control model for manufacturing process based on GQMM, Adv. Mater. Res. 214 (2011) 612-617.

DOI: 10.4028/www.scientific.net/amr.214.612

Google Scholar

[11] Y. Li, H. Wang, Study and establish on comprehensive backtracking model of quality control based on the hierarchical classification, Appl. Mech. and Mater. 473 (2014) 251-254.

DOI: 10.4028/www.scientific.net/amm.473.251

Google Scholar

[12] M. Polyakova, A. Korchunov, Methodology of developing mathematical models for quality indices control, Appl. Mech. and Mater. 598 (2014) 643-646.

DOI: 10.4028/www.scientific.net/amm.598.643

Google Scholar

[13] G. Rubin, Qualimetry of metal ware production, Magnitogorsk, (2012).

Google Scholar

[14] G. Rubin, M. Polyakova, Development of standartization basic fundamentals, Vestnik of Nosov Magnitogorsk state technical university, 1 (2014) 97-101.

Google Scholar

[15] M. Polyakova, A. Gulin, D. Constantinov, Investigation of microstructure and mechanical properties of carbon steel wire after continuous methods of deformation nanostructuring, Appl. Mech. and Mater. 436 (2013) 114-120.

DOI: 10.4028/www.scientific.net/amm.436.114

Google Scholar

[16] A. Korchunov, M. Polyakova, A. Gulin, D. Konstantinov, Technological inherited connections in continuous method of deformational nanostructuring, Appl. Mech. and Mater. 555 (2014) 401-405.

DOI: 10.4028/www.scientific.net/amm.555.401

Google Scholar