Minimalisasi Defect Produk Granite Tile Pada Proses Sorting & Polishing Dengan Pendekatan Root Cause Analysis (RCA) (Studi Kasus di PT. Niro Ceramic Nasional Indonesia, Bogor–Jawa Barat )

Irman Maulana, Bambang Suhardi Waluyo, Tri Widodo

Abstract


Competition in the industry makes manufacturing companies do continuous improvement of production in order to achieve good quality. PT. XYZ is a company engaged in the manufacturing industries that produce granite tile. The problems that often arise on the production floor, especially in the process of sorting and polishing that is, the high defect products produced in the process. The purpose of this study is to minimize damage to the product on the S & P, Useful and finished product quality improvement plans. To support solving this problem, researchers used a method approach Root Cause Analysis (RCA). In the histogram obtained from the check sheets, Pareto diagrams visible damage in the S & P damage type of disability the most dominant is the Crack (57%), followed Thick (18%), Glaze Drop (11%), Black Coring (8%), and the last is the Scraper Defect (6%). From the research, a result that most of the damage is Crack. Factors causing these defects are the factors that cause deviations quality raw materials such factors, factors working methods irregularities in the implementation of the work, a factor that is less engine preventive maintenance, factor of fewer operators do not obey the standard factory operations. From the productivity results in the S & P, generate some suggestion in terms of minimizing the product is defective is implementing kaizen.

 

Keywords: Root Cause Analysis (RCA), Application of Process Improvement, Kaizen, 5S, Granite Tile.

 


Full Text:

PDF

References


Alwan, C. Layth, (2000) Statistical Process Analysis. McGraw-Hill Book Co. Singapore.

Alireza Ahmadyfard, Hamid Alimohama- di, Ahmad Shariati and Saeed Moghtader (2009). A Novel Approach for Detecting Defects of Random Textured Tiles Using Gabor Wavelet. World Applied Sciences Journal 7 (9): 1114-1119, 2009, ISSN 1818-4952

Fugmann, K. "Rapid Changes in Tile Technology," Tile & Brick Inter- national. March, 1991, pp. 165-166.

Geiger, Greg. "Developments in the Tile Industry," American Ceramic So- ciety Bulletin. December, 1991, pp. 1879-1885.

Grant, Eugene L, Leavenworth, Richard

S. (1996). Statistical Quality Con- trol. Seventh Edition. McGraw-Hill, Inc,

Jones, J. T. and M. F. Berard. Ceramics: Industrial Processing and Testing. Iowa State University Press, 1972.

K. Ankamma, K.V.R. Murthy & N.V. Poornachandra Rao(2009). Cha- racterization of Ceramic Tiles and Raw Materials Using Thermo- luminescence Technique. Interna- tional Journal of Luminescence and Applications Vol.1, ISSN 2277-6362.

Rashmi Mishra,C. L. Chandrakar & Ravi Mishra(2012). Surface Defects Detection for Ceramic Tiles Using Image Processing And Morpholo- gical Techniques. International Journal Volume 2, Issue 2, ISSN: 2249-3905

Sorin Gabriel Gresoi, Cristina Elena Protopopescu (2012). Analysis and Design an Industrial Product (Ceramics), International Journal of Academic Research in Business and Social Sciences Vol. 2, No. 9, ISSN: 2222-6990

Samir Elmougy, Ibrahim El-Henawy & Ahmed El-Azab (2010). Model Based Ceramic tile inspection using Discrete Wavelet Transform and Euclidean Distance. Interna- tional Journal of Computer Scien- ce and Information Security,Vol. 7, No. 2, 2010

Meysam Salimi (2013). A Lean Produc- tion Framework for Malaysian Automotive and Heavy Machinery Industry. Middle-East Journal of Scientific Research 13 (11): 1544-1550, 2013,ISSN 1990-9233

Mostafaeipour, Ali., Sedaghat, Ahmad & Vahdatzad, Mohammadali (2012). The use of Statistical Process Control Technique in the Ceramic Tile Manufacturing: a Case Study. International Journal of Applied Information

Vincent G. (2003). Metode Analisis Un- tuk Peningkatan Kualitas. Jakarta. PT. Gramedia Pustaka Utama.




DOI: http://dx.doi.org/10.31000/jim.v9i1.10992

Article Metrics

Abstract - 67 PDF - 40

DOI (PDF): http://dx.doi.org/10.31000/jim.v9i1.10992.g4978

Refbacks

  • There are currently no refbacks.



Abstracted/Indexed On :


Google-Scholar-logo-2015    garuda1   Scilit logo   base logo   dimensions  


Counter Stat: