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2017 | OriginalPaper | Chapter

A Monitoring and Data Analysis System to Achieve Zero-Defects Manufacturing in Highly Regulated Industries

Authors : Theocharis Alexopoulos, Michael Packianather

Published in: Sustainable Design and Manufacturing 2017

Publisher: Springer International Publishing

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Abstract

In order to become more competitive, manufacturing companies exploit new technologies and practices that can improve their production efficiency, and reduce the number of rejected products. This work is about a Monitoring and Data Analysis System (MDAS), a software system that combines data mining, neural networks modelling and graphical data analysis to assist the company in identifying patterns, trends or problems that increase the risk of rejected products. A pilot version of the proposed system is tested on two production lines of a pharmaceutical company and has identified previously unknown patterns and trends that were hindering the quality of the end product. Since the operation of the proposed system does not affect the production it is suitable for industries bound by strict regulation. In general, the proposed system could be adopted for other products and industries.

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Literature
1.
go back to reference Assistant Secretary of Defense (Manpower Installations and Logistics) Washington DC: Guide To Zero Defects. Quality and Reliability Assurance Handbook (1965) Assistant Secretary of Defense (Manpower Installations and Logistics) Washington DC: Guide To Zero Defects. Quality and Reliability Assurance Handbook (1965)
2.
go back to reference Garretson, I.C., Mani, M., Leong, S., Lyons, K.W., Haapala, K.R.: Terminology to support manufacturing process characterization and assessment for sustainable production. J. Clean. Prod. 139, 986–1000 (2016)CrossRef Garretson, I.C., Mani, M., Leong, S., Lyons, K.W., Haapala, K.R.: Terminology to support manufacturing process characterization and assessment for sustainable production. J. Clean. Prod. 139, 986–1000 (2016)CrossRef
3.
go back to reference National Academy of Science and Engineering: Recommendations for implementing the strategic initiative “INDUSTRIE 4.0” (2013) National Academy of Science and Engineering: Recommendations for implementing the strategic initiative “INDUSTRIE 4.0” (2013)
4.
go back to reference Mourtzis, D., Vlachou, E., Milas, N.: Industrial Big Data as a result of IoT adoption in manufacturing. In: 5th CIRP Global Web Conference Research and Innovation for Future Production (2016) Mourtzis, D., Vlachou, E., Milas, N.: Industrial Big Data as a result of IoT adoption in manufacturing. In: 5th CIRP Global Web Conference Research and Innovation for Future Production (2016)
5.
go back to reference Ohno, T.: Toyota Production System: Beyond Large-Scale Production. Productivity Press, Cambridge (1988) Ohno, T.: Toyota Production System: Beyond Large-Scale Production. Productivity Press, Cambridge (1988)
6.
go back to reference Laney, D.: 3D Data Management: Controlling Data Volume, Velocity and Variety. Application Delivery Strategies. METAGroup (2001) Laney, D.: 3D Data Management: Controlling Data Volume, Velocity and Variety. Application Delivery Strategies. METAGroup (2001)
7.
go back to reference Buytendijk, F., Oestreich, T.W.: Organizing for Big Data Through Better Process and Governance. Gartner Publications, Stamford (2016) Buytendijk, F., Oestreich, T.W.: Organizing for Big Data Through Better Process and Governance. Gartner Publications, Stamford (2016)
9.
go back to reference Chen, F., Deng, P., Wan, J., Zhang, D., Vasilakos, A.V., Rong, X.: Data mining for the internet of things: literature review and challenges. Int. J. Distrib. Sens. Netw. 11(8) (2015). doi:10.1155/2015/431047 Chen, F., Deng, P., Wan, J., Zhang, D., Vasilakos, A.V., Rong, X.: Data mining for the internet of things: literature review and challenges. Int. J. Distrib. Sens. Netw. 11(8) (2015). doi:10.​1155/​2015/​431047
10.
go back to reference Che, D., Safran, M., Peng, Z.: From Big Data to Big Data Mining: challenges, issues, and opportunities. In: International Conference on Database Systems for Advanced Applications (2013) Che, D., Safran, M., Peng, Z.: From Big Data to Big Data Mining: challenges, issues, and opportunities. In: International Conference on Database Systems for Advanced Applications (2013)
11.
go back to reference Senthilkumaran, U., Manikandan, N., Senthilkumar, M.: Role of data mining on pharmaceutical industry-a survey. Int. J. Pharm. Technol. 8(3), 16100–16106 (2016) Senthilkumaran, U., Manikandan, N., Senthilkumar, M.: Role of data mining on pharmaceutical industry-a survey. Int. J. Pharm. Technol. 8(3), 16100–16106 (2016)
12.
go back to reference Amiri, M., Ardeshir, A., Zarandi, M.H.F., Soltanaghaei, E.: Pattern extraction for high-risk accidents in the construction industry: a data-mining approach. Int. J. Inj. Contr. Saf. Promot. 23(3), 264–276 (2016)CrossRef Amiri, M., Ardeshir, A., Zarandi, M.H.F., Soltanaghaei, E.: Pattern extraction for high-risk accidents in the construction industry: a data-mining approach. Int. J. Inj. Contr. Saf. Promot. 23(3), 264–276 (2016)CrossRef
13.
go back to reference Wang, Y., Shao, Y., Matovic, M.D., Whalen, J.K.: Recycling combustion ash for sustainable cement production: a critical review with data-mining and time-series predictive models. Constr. Build. Mater. 123, 673–689 (2016)CrossRef Wang, Y., Shao, Y., Matovic, M.D., Whalen, J.K.: Recycling combustion ash for sustainable cement production: a critical review with data-mining and time-series predictive models. Constr. Build. Mater. 123, 673–689 (2016)CrossRef
14.
go back to reference Ariyawansa, C.M., Aponso, A.C.: Review on state of art data mining and machine learning techniques for intelligent Airport systems. In: International Conference on Information Management (2016) Ariyawansa, C.M., Aponso, A.C.: Review on state of art data mining and machine learning techniques for intelligent Airport systems. In: International Conference on Information Management (2016)
15.
go back to reference Rostami, H., Dantan, J.-Y., Homri, L.: Review of data mining applications for quality assessment in manufacturing industry: support vector machines. Int. J. Metrol. Qual. Eng. 6(4), 1–59 (2015). Article 401. doi:10.1051/ijmqe/2015023 CrossRef Rostami, H., Dantan, J.-Y., Homri, L.: Review of data mining applications for quality assessment in manufacturing industry: support vector machines. Int. J. Metrol. Qual. Eng. 6(4), 1–59 (2015). Article 401. doi:10.​1051/​ijmqe/​2015023 CrossRef
16.
go back to reference Bennane, A., Yacout, S.: LAD-CBM; new data processing tool for diagnosis and prognosis in condition-based maintenance. J. Intell. Manuf. 23(2), 265–275 (2012)CrossRef Bennane, A., Yacout, S.: LAD-CBM; new data processing tool for diagnosis and prognosis in condition-based maintenance. J. Intell. Manuf. 23(2), 265–275 (2012)CrossRef
17.
go back to reference Garcia-Munoz, S.: Two novel methods to analyze the combined effect of multiple raw-materials and processing conditions on the product’s final attributes: JRPLS and TPLS. Chemometrics and Intelligent Laboratory Systems (2014) Garcia-Munoz, S.: Two novel methods to analyze the combined effect of multiple raw-materials and processing conditions on the product’s final attributes: JRPLS and TPLS. Chemometrics and Intelligent Laboratory Systems (2014)
18.
go back to reference Zhang, Y., Ren, S., Liub, Y., Si, S.: A Big Data analytics architecture for cleaner manufacturing and maintenance processes of complex products. J. Cleaner Prod. 142, 626–641 (2016). Part 2. doi:10.1016/j.jclepro.2016.07.123 Zhang, Y., Ren, S., Liub, Y., Si, S.: A Big Data analytics architecture for cleaner manufacturing and maintenance processes of complex products. J. Cleaner Prod. 142, 626–641 (2016). Part 2. doi:10.​1016/​j.​jclepro.​2016.​07.​123
19.
go back to reference Fysikopoulos, A., Alexopoulos, T., Pastras, G., Stavropoulos, P., Chryssolouris, G.: On the design of a sustainable production line: the MetaCAM tool. In: ASME International Mechanical Engineering Congress and Exposition (2015) Fysikopoulos, A., Alexopoulos, T., Pastras, G., Stavropoulos, P., Chryssolouris, G.: On the design of a sustainable production line: the MetaCAM tool. In: ASME International Mechanical Engineering Congress and Exposition (2015)
20.
go back to reference Khan, A.R., Schiøler, H., Knudsen, T., Kulahci, M.: Statistical data mining for efficient quality control in manufacturing. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (2015) Khan, A.R., Schiøler, H., Knudsen, T., Kulahci, M.: Statistical data mining for efficient quality control in manufacturing. In: 20th IEEE International Conference on Emerging Technologies and Factory Automation (2015)
Metadata
Title
A Monitoring and Data Analysis System to Achieve Zero-Defects Manufacturing in Highly Regulated Industries
Authors
Theocharis Alexopoulos
Michael Packianather
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-57078-5_30

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