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The automation of analysis of technological process effectiveness

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Improvement of technological processes by the use of technological efficiency analysis can create basis of their optimization. Informatization and computerization of wider and wider scope of activity is one of the most important current development trends of an enterprise. Design/methodology/approach: Indicators appointment makes it possible to evaluate the process efficiency, which can constitute an optimization basis of particular operation. Model of technological efficiency analysis is based on particular efficiency indicators that characterize operation, taking into account following criteria: operation - material, operation - machine, operation - human, operation - technological parameters. Findings: From the qualitative and correctness of choose of technology point of view comprehensive technological processes assessment makes up the basis of technological efficiency analysis. Results of technological efficiency analysis of technological process of prove that the chosen model of technological efficiency analysis makes it possible to improve the process continuously by the technological analysis, and application of computer assistance makes it possible to automate the process of efficiency analysis, and finally controlled improvement of technological processes. Practical implications: For the sake of complexity of technological efficiency analysis one has created an AEPT computer analysis from which result: operation efficiency indicators with distinguished indicators with minimal acceptable values, values of efficiency of the applied samples, value of technological process efficiency. Originality/value: The created computer analysis of the technological process efficiency (AEPT) makes it possible to automate the process of analysis and optimization.
Rocznik
Strony
199--202
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
  • Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18a, 44-100 Gliwice, Poland, beata.krupinska@polsl.pl
Bibliografia
  • [1] J. Madejski, Survey of the agent-based approach to intelligent manufacturing, Journal of Achievements in Materials and Manufacturing Engineering 21/1 (2007) 67-70.
  • [2] L.A. Dobrzanski, W. Sitek, M. Krupinski, J. Dobrzanski, Computer aided method for evaluation of failure class of materials working in creep conditions, Journal of Materials Processing Technology 157-158 (2004) 102-106.
  • [3] L.A. Dobrzański, Basis of science about materials and metallographic. Engineering materials with basis of material projecting, WNT, Warsaw (2002) (in Polish).
  • [4] T. Karkoszka, D. Szewieczek: Risk of the processes in the aspect of quality, natural environment and occupational safety, Journal of Achievements in Materials and Manufacturing Engineering 20 (2007) 539-542.
  • [5] 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.
  • [6] B. Krupińska, Optimization of the chosen technological processes for the sake of their efficiency, (Ph.D), Gliwice (2005).
  • [7] B. Krupińska, D. Szewieczek, The attempt of evaluation of the chosen technological gear wheel process on the basis of its efficiency operation, Worldwide Congress on Materials and Manufacturing Engineering and Technology -COMMENT'2005, Gliwice - Wisła, 2005, 363-370.
  • [8] D.G. Luenberger, Theory of optimization, PWN, Warszawa (1984) (in Polish).
  • [9] J. Michalska, The usage of The Balanced Scorecard of the estimation of the enterprise's effectiveness, Journal of Materials Processing Technology 162-163 (2005) 751-758.
  • [10] M. Sokovic, J. Kopac, A. Smolej, Model of quality managment in development of new free-cutting Al-alloys, Journal of Achievements in Materials and Manufacturing Engineering 19/2 (2006) 92-98.
  • [11] M. Roszak, S. Tkaczyk, Chosen aspects of evaluation of productive processes on the example of productive chains of sections type V29, Journal of Materials Processing Technology 162-163 (2005) 770-776.
  • [12] G. Rummler, A. Branche, Increasing the efficiency of organization, PWE, Warsaw (2005) (in Polish).
  • [13] D. Szewieczek, S. Tkaczyk, B. Wojtaszek, Measurement and control of the technological process by means of the analysis of its efficiency, 12th International Scientific Conference „Achievements in Mechanical and Materials Engineering” AMME'2003, Gliwice-Zakopane, 2003, 923-926.
  • [14] D. Szewieczek, The thermal processing of metal materials, Silesian University, Gliwice (1998) (in Polish).
  • [15] R. Tadeusiewicz, Neural Networks, PLJ, Warsaw (1999) (in Polish).
  • [16] M. Sokovic, D. Pavletic, E. Krulcic, Six Sigma process improvements in automotive parts production, Journal of Achievements in Materials and Manufacturing Engineering 19/1 (2006) 96-102.
  • [17] L.A. Dobrzański, J. Domagała, J.F. Silva, Application of Tagouchi method in the optimisation of filament winding of thermoplastic composites, Archives of Materials Science and Engineering 28/3 (2007) 133-140.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS3-0019-0004
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