Passenger cars in the RAPEX notifications
Samochody osobowe w notyfikacjach systemu RAPEX
Abstract
In the study presented similarities within 1533 notifications on passenger cars (subcategory of category motor vehicles)in the Rapid Alert System for Dangerous Non-food Products (RAPEX) in 2006-2017. The studies took into account passenger car brands and year, submitting country, origin country, risk type and entity taking measures. The cluster analysis using two-way joining in Statistica 12 was applied. The most frequently the following brands were notified: Renault, Peugeot, Citroën (originated from France) and Mercedes (from Germany). The number of notifications increased from 2006 to 2017. The passenger cars in the RAPEX were most commonly notified by Germany (it related to Mercedes). The most commonly risks, which were notified were injuries and also fire. The measures against to notified cars were usually taken by economic operator (manufacturer, distributor or importer).
References
2. European Parliament, Council, Directive 2001/95/EC of the European Parliament and of the Council of 3 December 2001 on general product safety (Text with EEA relevance), OJ L 11, 15.1.2002, 4-17.
3. European Union, Keeping European Consumers safe. Rapid Alert System for dangerous non-food products 2014. Complete statistics, Publications Office of the European Union, Luxembourg 2015.
4. European Union, Rapid Alert System for dangerous products. 2015 results, Publications Office of the European Union, Luxembourg 2016.
5. European Union, Rapid Alert System for dangerous products. Working together to keep consumers safe. 2016 annual report, Publications Office of the European Union, Luxembourg 2017.
6. Klaschka U., Trust, but verify! Personal care products in the rapid alert system database RAPEX, “Sustainable Chemistry and Pharmacy” 2017, Volume 5, 30-41, DOI: 10.1016/j.jom.2011.06.007.
7. Marucheck A., Greis N., Mena C., Cai L., Product safety and security in the global supply chain: Issues, challenges and research opportunities, “Journal of Operations Management” 2011, Volume 29, Issues 7–8, 707-720, DOI: 10.1016/j.jom.2011.06.007.
8. Pose-Juan E., Fernández-Cruz T., Simal-Gándara J., State of the art on public risk assessment of combined human exposure to multiple chemical contaminants, “Trends in Food Science & Technology” 2016, Volume 55, 11-28, DOI: 10.1016/j.tifs.2016.06.011.
9. The International Organization of Motor Vehicle Manufacturers (Organisation Internationale des Constructeurs d’Automobiles – OICA), Word Motor Vehicle Production by country and type (production of passengers cars in 2015 and 2016), http://www.oica.net/category/production-statistics/2016-statistics/, 2.02.2018.
10. Winkle T., Development and Approval of Automated Vehicles: Considerations of Technical, Legal, and Economic Risks, In: Maurer M., Gerdes J., Lenz B., Winner H. (eds), Autonomous Driving, Springer, Berlin, Heidelberg 2016, 589-618, DOI: 10.1007/978-3-662-48847-8_28.
11. Wynn M. T., Ouyang C., ter Hofstede A. H. M., Fidge C. J., Data and process requirements for product recall coordination, “Computers in Industry” 2011, Volume 62, Issue 7, 776-786, DOI: 10.1016/j.compind.2011.05.003.
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