Quality Management in the Manufacturing Process of Iron Casts on Foundry Lines

• Autorzy: Kukla S.
• Języki publikacji: EN

Abstrakty

EN

The paper presents issues of quality management related to iron casts manufactured on automated foundry lines for automobile industry. The influence of the choice of electric furnace and automated foundry line with vertical or horizontal mould division on the quality of casts made of nodular or grey cast iron was presented. Analysis of different scenarios of the course of action manufacturing processes was performed basing on a simulation experiment, record data related to the quality of the manufactured casts and manufacturing prime costs analysis. The research used universal tools applied in simulation analysis of production systems (Rockwell Automation: Arena Simulation Software) and a spreadsheet used for cast manufacture cost estimation. The proposed variants have been assessed using the Pareto analysis on the basis of results of reports generated for a simulation experiment. The paper also presents suggestions of activities aimed at further improvement of the quality of foundry processes.

Słowa kluczowe

EN

quality management; foundry industry; production systems; production organization; costs estimation

PL

zarządzanie jakością; przemysł odlewniczy; systemy produkcyjne; organizacja produkcji

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2014
• Tom: Vol. 14, iss. 1 spec.
• Strony: 13--16
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Kukla S.

• Department of Industrial Engineering, University of Bielsko-Biała, Willowa 2, 43-309 Bielsko- Biała, Poland

Bibliografia

• [1] Narusawa, T., Shook, J. (2009). Kaizen Express – fundamental for journey. Cambridge: The Lean Enterprise Institute.
• [2] Nyhuis, P., Wiendahl, H. P. (2009). Fundamentals of production logistic – theory, tools and applications. Berlin: Springer-Verlag.
• [3] Szymszal, J., Lis, T., Przondziono, J., Nowacki, K., Kliś, J. (2013). Optimising a model of minimum stock level control and a model of standing order cycle in selected foundry plant. Archives of Foundry Engineering, Vol. 13, issue 3, 97-100.
• [4] Kerzner, H. (2010). Project management best practices: achieving global excellence. New York: Wiley.
• [5] Lopez, P., Roubellat, F. (2008). Production Scheduling. Hoboken: John Wiley & Sons.
• [6] Whittington, R. (2014). CPAexcel Exam Review 2014 Study Guide, Business Environment and Concepts. New Jersey: John Wiley & Sons.
• [7] Yang, M., Hong, P., Modi, S. (2011). Impact of lean manufacturing and environmental management on business performance: An empirical study of manufacturing firms. Int. J. Production Economics 129, 251–261.
• [8] Matuszek, J., Kukla, S. (2009). Analysis of foundry production systems on the basis of modelling and simulation. Acta Mechanica Slovacia, Vol. 13, no. 2, 106-111.
• [9] Altiok, T., Melamed, B. (2007). Simulation Modeling and Analysis with ARENA. Elsevier Inc.
• [10] Bangsow, S. (2012). Use Cases of Discrete Event Simulation: Appliance and Research. Berlin: Springer-Verlag.
• [11] Chung, C. (2004). Simulation modelling handbook: a practical Approach. London: CRC Press.
• [12] Maciąg, A., Piertroń, R., Kukla, S. (2013). Forecasting and simulation in enterprise. Warszawa: Polskie Wydawnictwo Ekonomiczne (in Polish).
• [13] Kukla, S. (2010). Production systems rationalisation on the example of iron foundry. Archives of Foundry Engineering Vol. 10, Issue 2, 209-212.
• [14] Lanza, R. B. (2009). Cost recovery. New Jersey: John Wiley & Sons.
• [15] Panneerselvam, R. (2013). Engineering economics. Delhi: PHI Learning Pvt.