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The propagation of variability of polymer processing parameters in production lines

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Warianty tytułu
Języki publikacji
PL
Abstrakty
EN
Purpose: Analysis the propagation of the variability of polymer processing in production lines is the aim of the article. It is unprofitable occurrence. It contributes to an increase in the time of the production cycle and the volume of work in process. Design/methodology/approach: For the measurement of the variability of polymer processingparameters the time Shewart's card were used. The technique of the timing was applied for the registration of the production cycle time and the volume of stocks. The computer simulation was used for the analysis of the propagation of the variability in the production line at different values of the variability coefficient. Findings: The Shewart’s card permit to control the random variability of processes and eliminate the negative results of this occurrence. The computer simulation allowed to the investigate a lot of screenplays assuming different sizes of the variability. Prediction of the variability of polymer processing parameters gives possibility for the correction of the manufacturing process organization and against wastage. Research limitations/implications: The next step of research will be. Determinations of relation between the variability of polymer processing parameters and coefficient of machines utilization and quality of the final product will be the next stage of the research. The validation simulation models and estimation of their usefulness in undertaking of the decision concerning production process. Practical implications: The analysis of the propagation of variability of polymers processing parameters permits for better are understanding of reasons delays and excessive work in progress materials in the production of a particular article. The inspection of the variability permits better to manage the materials flow in the production system.
Rocznik
Strony
26--32
Opis fizyczny
Bibliogr. 21 poz., wykr.
Twórcy
autor
autor
autor
  • Institute of Polymer Processing and Production Management, Czestochowa University of Technology, Al. Armii Krajowej 19c, 42-200 Częstochowa, Poland, pietrzak@kpts.pcz.czest.pl
Bibliografia
  • [1] S. Plaska, Introduction to the statistical control of technological processes, Lublin Technical University Press, Lublin 2000 (in Polish).
  • [2] S. Ramaiah, S.Pooransingh, T. Marshall, Use of Shewart's technique, The Lancet 357/9267 (2001) 1528-1529.
  • [3] M. Brzeziński (red.), The organization and the control of production. Designing of production systems and production processes, Placet, Warsaw, 2002 (in Polish).
  • [4] J. D. C. Little, A proof for the queueing formula L =λ W , Operation Research 9/3 (1961) 383-387. 6.
  • [5] I. B. F. Adan, J. A. C. Resing, Queueing theory, Lecture notes, Eindhoven University of Technology, 2001.
  • [6] J. H. Jacobs, L. F. P. Etman, E. J. J. Campen, J. E. Rooda, Characterization of flow time variability using effective process times, IEEE Transactions on Semiconductor Manufacturing 16/3 (2003) 511-520.
  • [7] W. J. Hopp, M. L. Spearman, Factory Physics, Foundations of Manufacturing Management, Irwin McGraw-Hill, London, 2nd edition, 2001.
  • [8] J. A. Buzacott, J. G. Shanthikumar, Stochastic Models of Manufacturing Systems, Prentice Hall, Englewood Cliffs, 1993.
  • [9] H. Zawistowski, Sz. Zięba, Arranging of the injection moulding process, PLASTECH, Warsaw, 1999 (in Polish).
  • [10] R. Sikora, Grounds of polymer processing, Lublin Technical University Press, Lublin 1992 (in Polish).
  • [11] R. Sikora, Of science and technology lexicon: introduction to polymer processing, Wadim Plast, Lublin 2006 (in Polish).
  • [12] L. Dymowa, M. Koszkul, P. Postawa, Estimation of influence of injection moulding parameters on the moulding quality on the basis of statistical analysises (in:) Multiautor work ed. by. J. Koszkul: Progress in polymer processing. Czestochowa Technical University Press Częstochowa 2002 (in Polish).
  • [13] E. Saniga, T. McWilliams, D. Davis, J. Lucas, Economic control chart policies for monitoring variables, International. Journal of Productivity and Quality Management 1/1-2, (2006) 116-138.
  • [14] B. M. Colosimo, F. Godio, L. Palmieri, Comparative studies of control charts for torque data in automotive component assembling, International Journal of Technology Management 37/1-2 (2007) 72-85.
  • [15] E. Bociąga, Impact of the injection mould temperature and injection speed on selected properties of polyethylene mouldings, Polimery 45/11-12 (2000), 830-836 (in Polish).
  • [16] AnyLogic, User's Manual. XJ Technologies Company Ltd, 2005.
  • [17] K. M. N. Muthiah, S. H. Huang, A review of literature on manufacturing systems productivity measurement and improvement, International Journal of Industrial and Systems Engineering 1/4 (2006) 461-484.
  • [18] N. P. Mahalik, Attributes of industrial machine and process control systems, International Journal of Computer Applications in Technology 25/4 (2006) 234-240.
  • [19] R. Souren, Material flow analysis in closed-loop supply chains: modelling of packaging waste recycling at different hierarchical levels, International Journal of Integrated Supply Management 1/2 (2004) 117-138.
  • [20] J. Koszkul, M. Pietrzak, A. Gzieło, P. Postawa, Influence of variability of polymer processing on the manufacturing system, Journal of Achievements in Materials and Manufacturing Engineering 17 (2006) 253-256.
  • [21] J. M. Myszewski, Variability managing, the system glance at statistical methods in quality management, ORGMASZ, Warsaw, 1999 (in Polish).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0040-0003
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