Design and Implementation of SPC Systems in Defense Industry Manufacturing Process

Ismar Hrvacic

Abstract


In this paper Statistical Process Control (SPC) was proposed for manufacturing process of a defense product manufacturing company, with the aim of improvement product quality. The production process was monitored from material input to the final output. The processes were mapped and SPC system was proposed. The system was tested by collecting data at the collecting points and analyzed by appropriate SPC tool such as: X ̅R chart,( X) ̅S chart and the p-chart. The results show that the processes in the some parts in production are in the under control, processes are capable, but not centered, also some sub-processes of production are not in the control but also not capable.

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References


J. S. Ockland, Statistical Process Control, 6th Edition, 2008.

E. H. S. Oberoi, M. Parmar, H. Kaur and R. Mehra, "SPC (Statistical Process Control): A Quality Control Technique for Confirmation to Ability of process," International Research Journal of Engineering and Technology (IRJET) , vol. 03, no. 06, pp. 666-672, 2016.

A. G. Maugeri and G. Arcidiacono, "Efficient Determination of Sampling Rate and Sample Size in Statistical Process Control," Universal Journal of Industrial and Business Management, pp. 103-110, 2014.

I. Madanhire and C. Mbohwa, "Application of Statistical Process Control (SPC) in Manufactoring Industry in Developing Country," in 13th Global Conference on Sustainable Manufacturing - Decoupling Growth from Resource Use, 2016.

B. Durakovic, H. Bašić and H. Muhić, "The Interrelationships between Quality Managment Practicies and their Effects on Innovation," Trends in the Development of Machinery and Associated Technology, Budapest, pp. 181-184, 2014.

V. D. M. T. V. ŠIBALIJA, "SPC and Process Capability Analysis– Case Study," Total Quality Management & Excellence, vol. 37, pp. 1-6, 2009.

B. Duraković and H. Bašić, "Textile Cutting Process Optimization Model Based on Six Sigma Methodology in a Medium-Size Company," Jurnal of Trends in the Development Machinery and Associated Technology, vol. 16, pp. 107-110, 2012.

D. Montgomery, Introduction to Statistical Quality Control, 6th Edition, 2003, pp. 177-235.

R. Godina, J. C. Matias and S. G. Azevedo, "Quality Improvement With Statistical Process Control in the Automotive Industry," International Journal of Industrial Engineering and Management (IJIEM), vol. 7, pp. 1-8, 2016.

B. Duraković, "Design of Experiments Application, Concepts, Examples: State of the Art," Periodicals of Engineering and Natural Sciencie, pp. 421-438, 2017.

"http://www.cqeacademy.com/cqe-body-of-knowledge/continuous-improvement/quality-control-tools/control-charts/," 20 February 2018. [Online]. [Accessed 2018].

M. Xie, T. N. Goh and V. Kuralmani, Statistical Models and Control Charts for High Quality process, Springer Science + Business Media New York, pp. 4-5, 2002.

[Online]. Available: http://www.statit.com/services/SPCOverview_mfg.pdf. [Accessed 25 January 2018].

Đ. Vukelić, J. Hodolič, T. Vrečič and P. Kogej, "Development of a System for Statistical Quality Control of the Production Process," Facta Universitatis, Series: Mechanical Engineering, vol. 6, pp. 75-90, 2008

B. Duraković and H. Bašić, "Continuous Quality Improvement in Textile Processing by Statistical Process Control Tools: A Case Study of Medium-Sized Company," Periodicals of Engineering and Natural Sciences, vol. 1, pp. 39-46, 2013.

H. Bašić, B. Duraković and A. Softić, "Six Sigma Model Testing In Optimizing Medium-Sized Company Production Process," Journal of Trends in the Development of Machinery and Associated Technology, vol. 16, no. 1, pp. 103-106, 2012.




DOI: http://dx.doi.org/10.21533/pen.v6i1.163

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Copyright (c) 2018 Ismar Hrvacic

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License