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Using control charts X-R in monitoring a chosen production process

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: A new approach to production process monitoring in organization using control chart type X-R has been presented. Design/methodology/approach: The possibility of use of basic element of Statistical Process Control ( SPC method) is connected with continuous quality improvement of each production process in an enterprise. Interdependence of the quality research methods and production process’s requirements have been taken into account. Findings: At the present time the metallurgical enterprises should integrate quality management system and quality control with customer’s requirements, with defined both parameters of processes and quality methods. Such kind of strategy will enable to achieve success for these companies. Research limitations/implications: Control chart type X-R is very important quality tool. Its determined statistical measures are recorded properties of product obtained as a result of inspections taking randomly samples of products in the determined place of the process. Aim of control chart type X-R is observation and registration of the changeability of the characteristic of the researched element of the production process. Practical implications: The example of implementing control chart type X-R shows possibility of monitoring chosen parameters of production process according to an idea of defect prevention. Usage of this method allows for monitoring of production process, providing opportunities for cost reduction, and maintaining of production process stability. Originality/value: Application of basic element of Statistical Process Control in polish metallurgical companies have been presented. Purpose: A new approach to production process monitoring in organization using control chart type X-R has been presented. Design/methodology/approach: The possibility of use of basic element of Statistical Process Control ( SPC method) is connected with continuous quality improvement of each production process in an enterprise. Interdependence of the quality research methods and production process’s requirements have been taken into account. Findings: At the present time the metallurgical enterprises should integrate quality management system and quality control with customer’s requirements, with defined both parameters of processes and quality methods. Such kind of strategy will enable to achieve success for these companies. Research limitations/implications: Control chart type X-R is very important quality tool. Its determined statistical measures are recorded properties of product obtained as a result of inspections taking randomly samples of products in the determined place of the process. Aim of control chart type X-R is observation and registration of the changeability of the characteristic of the researched element of the production process. Practical implications: The example of implementing control chart type X-R shows possibility of monitoring chosen parameters of production process according to an idea of defect prevention. Usage of this method allows for monitoring of production process, providing opportunities for cost reduction, and maintaining of production process stability. Originality/value: Application of basic element of Statistical Process Control in polish metallurgical companies have been presented.
Rocznik
Strony
487--498
Opis fizyczny
Bibliogr. 40 poz., rys., tab.
Twórcy
  • Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland
Bibliografia
  • [1] EN ISO 9000:2005 standard, Quality management - Fundamentals system and vocabulary.
  • [2] J. Ketola, K. Roberts, Demystifying ISO 9001:2000 - part 1, Quality Progress 34/9 (2001) 65-70.
  • [3] J. Ketola, K. Roberts, Demystifying ISO 9001:2000 - part 2, Quality Progress 34/10 (2001) 44-47.
  • [4] EN ISO 9001:2008 standard, Quality management systems -Requirements.
  • [5] B. Czyżewski, Statistical methods in quality control of technological processes, NOT, Poznan, 1995 (in Polish).
  • [6] E. Deming, Quality, productivity and competitive position, University of Cambridge, 1982.
  • [7] I. Durlik, Organization and production, PWE, Warsaw, 1992 (in Polish).
  • [8] M. Dudek, D. Szewieczek, Usage of quality methods: Failure Mode and Effect Analysis (FMEA) and Statictical Process Control (SPC) as a element of continuous improvement of production process, Proceedings of the 12th International Scientific Conference “Achievements in Mechanical and Materials Engineering” AMME’2003, Gliwice-Zakopane, 2003, 317-321.
  • [9] M. Brzeziński, Organization of primary production processes, Lublin, 1998 (in Polish).
  • [10] G. Bounds, L. Yorks, M. Adams, G. Ranney, Beyond total quality managements, Towards the emerging paradigm, New York, Mc Graw-Hill, 1994.
  • [11] I. Durlik, Quality engineering - strategy and designing of production systems, Placet, Warsaw, 1993 (in Polish).
  • [12] I. Durlik, The aspects of designing of production systems, Organization and Managing 3 (1994) 39.
  • [13] T. Karkoszka, Improvement of chosen process based on the occupational health and safety criterion, Journal of Achievements in Materials and Manufacturing Engineering 37/2 (2009) 735-742.
  • [14] S. Lis, Organization and economic of Production Process in machine industry, PWN, Warsaw, 1984 (in Polish).
  • [15] L. Wasilewski, The example of quality strategy in industry, ORGMASZ, Warsaw, 1994 (in Polish).
  • [16] D.C. Montgomery, Introduction to statistical quality control, John Wiley & Sons, New York, 1991.
  • [17] A.V. Feigenbaum, Total quality control engineering and management, Mc Graw-Hill Book Co., New York, 1961.
  • [18] J. Juran, Quality control handbook, Mc Graw-Hill, New York, 1974.
  • [19] R.L. Liberatore, Teaching the role of SPC in industrial statistics, Quality Progress 34/7 (2001) 89-94.
  • [20] E. Kindlarski, Quality of products, PWN, Warsaw, 1988 (in Polish).
  • [21] S. Hongyi, Comparing Quality Management practices in the manufacturing and service industries: learning opportunities, Quality Management Journal 8/2 (2001) 53-71.
  • [22] K. Ishikawa, Guide to quality control, Asian Productivity Organization, Tokyo, 1987.
  • [23] S. Sudoł, Economic and organization of company, PWE, Warsaw, 1989 (in Polish).
  • [24] S. Tkaczyk, M. Dudek, Methodology research of quality in industry, Proceedings of the 7th Scientific International Conference “Achievements in Mechanical and Materials Engineering” AMME'1998, Gliwice-Zakopane, 1998, 513516 (in Polish).
  • [25] S. Tkaczyk, Quality assurance system in metallurgical and machine industry, Mat. CEEPUS PL 013/97, Gliwice-Rousse-Miskolc-Bratislava-Ljubljana, 1997, 31.
  • [26] R. Kolman, Quality engineering, PWE, Warsaw, 1992 (in Polish).
  • [27] K. Mijanovic, J. Kopac, Environmental management inside production systems, Journal of Materials Processing Technology 162-163 (2005) 759-765.
  • [28] C.-H. Kuo, J.-C. Tsai, New Tolerance Analysis Model for Normal Mean Shift in Manufacturing Process, Materials Science Forum 594 (2008) 339-350.
  • [29] A. Hamrol, W. Mantura, Quality Management, theory and practice, PWN, Warsaw, 2005 (in Polish).
  • [30] A. Iwasiewicz, Quality Management, PWN, Cracow, 1999 (in Polish).
  • [31] www.statsoft.pl.
  • [32] J. Bank, Management by quality, PWN, Warsaw, 1996 (in Polish).
  • [33] H.H. Steinback, Total quality management, Warsaw, 1998.
  • [34] M. Dudek, Quality methods ace and factor of functionality and improvement preproduction of organization sphere Proceedings of the Nationwide Scientific Conference „Management of organization of project oriented” UMCS’2004, Lublin, 2004, 89-93 (in Polish).
  • [35] E.M. Saniga, D.J. Davis, T.P. Williams, Economic, statistical and economic - Statistical design of attribute charts, Journal of Quality Technology 27/1 (1995) 56-73.
  • [36] M. Bevilacqua, F.E. Ciarapica, G. Giacchetta, B. Marchettii, Implemetation of a quality procedure based on Delphi method and the ISO/TS 16949:2009 in the production of stainless steel tubes for automotive exhaust systems, International Journal of Quality& Reliability Management 28/8 (2011) 841-866.
  • [37] L. Wasilewski, Statistical methods of improvement of products, ZETOM, Warsaw, 1994 (in Polish).
  • [38] J.M. Myszewski, Management of changeability, Systemic view of statistical methods in quality management, ORGMASZ, Warsaw, 1998 (in Polish).
  • [39] M. Dudek-Burlikowska, Quality estimation of process with usage control charts type X-R and quality capability of process Cp, Cpk, Journal of Materials Processing Technology 162-163 (2005) 736-743.
  • [40] T. Karkoszka, D. Szewieczek, Integrated method of technological processes estimation in materials engineering, Journal of Achievements in Materials and Manufacturing Engineering 24/1 (2007) 456-465.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cbf8cf55-d7c7-4103-ba25-e5461bcd5e48
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