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Cost-quantitative analysis of non-compliance in the internal logistics process

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Internal logistics is a key element of a production process as it specifies product quality, timeliness and value of orders. The purpose of the research was to determine the amount of non-compliance in the selected production process caused by internal logistics operations. The analysis covers both the quantity and type of non-compliance as well as the cost of non-compliance. One of the basic quality management tools was used in the research - Parteo-Lorenz analysis. An attempt was made to identify potential causes of non-compliance. The significant impact of non-compliance arising in internal logistics operations in production costs was pointed out.
Rocznik
Strony
60--66
Opis fizyczny
Bibliogr. 12 rys., tab.
Twórcy
  • Institute of Engineering Processes Automation and Integrated Manufacturing Systems, Silesian University of Technology, Konarskiego Street 18A, 44-100 Gliwice, Poland
autor
  • Institute of Engineering Materials and Biomaterials, Silesian University of Technology, Konarskiego Street 18A, 44-100 Gliwice, Poland
Bibliografia
  • 1.Bitkowska, A., Tyszkiewicz, A., 2016. Intermodal transport as an integral part of logistics system, Production Engineering Archives, 11(2), 31-35.
  • 2.Halusiak, S., Uciński, J., 2014. Internal transport. Selected issues, Wyd. Politechniki Łódzkiej, Łódź.
  • 3.Krynke, M., Mielczarek, K., 2016. Problems concerning product quality enhancement, Production Engineering Archives, 10(1), 17-20.
  • 4.Roszak, M., 2014. Quality management in engineering practice, Open Access Library, Gliwice, 1(31).
  • 5.Szatkowski, K. 2014. Modern production management. Process approach. PWN, Warszawa.
  • 6.Steering wheel System Animation https://www.youtube.com/watch?v=b0DKNIQFuzg
  • 7.Hys, K., 2014. Tools and methods used by the Polish leading automotive companies in quality management system, Results of empirical research, Journal of Achievements of Materials and Manufacturing Engineering, 63(1), 30-37.
  • 8.Roszak, M., 2008. Methodology of evaluation of value created in the productive processes, Journal of Achievements in Materials and Manufacturing Engineering, 31(2), 810-815.
  • 9.Colledani, M., Tolio, T., 2011. Integrated analysis of quality and production logistics performance in manufacturing lines, International Journal of Production Research, 49(2), 485-518.
  • 10.Colledani, M., Tolio, T., Fischer, A., Iung, B.B., Lanza, G., Schmitt, R, Váncza, J., 2014. Design and management of manufacturing systems for production quality, Cirp Annals, 63(2), 773-796.
  • 11.Da Mota Pedrosa, A., Näslund, D., Jasmand, C., 2012. Logistics case study based research: towards higher quality, International Journal of Physical Distribution & Logistics Management, 42(3), 275-295.
  • 12.Dörnhöfer, M., Schröder, F., Günthner, W., 2016. Logistics performance measurement system for the automotive industry, Logistics Research, 9(1), 11.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-11fb6e37-a029-4b0f-af9a-6e8463baa5d4
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