Araştırma Makalesi

Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis

Cilt: 22 Sayı: 66 22 Eylül 2020
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Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis

Öz

The feeding materials, concentrates and tailings of zinc and copper ores were examined by multidimensional scaling analysis. The calculated 〖LCL_X,UCL〗_X and UCL_R values for copper (feeding material, concentrate, and tailing) according to X-R analysis are 1.94, 16.92, 0.16; 2.96, 22.90, 0.41 and 0.89, 5.19, 0.21 respectively. Likewise, these values for zinc are 0.31, 43.46, 0.23; 3.00, 50.33, 0.66 and 2.34, 5.97, 0.37 respectively. The calculated Cp copper and zinc values are 2.08, 1.42, 1.39 and 1.82, 1.54, 1.25 respectively. The feeding material, concentrate, and tailing parameters of the copper and zinc products are greater than 1.0. Likewise, this study shows that the calculated Cpk values for copper and zinc (2.15, 1.20, 1.72 and 3.82, 1.05, 1.53 respectively) are larger than 1. Stress value was calculated at the first step of the analysis and established at 0.00258 and 0.00674 for copper and zinc, respectively, which indicates a fair fit for both. Nevertheless, the coefficient of determination (RSQ) was calculated as 0.9998 and 0.9986 for copper and zinc, respectively. These values indicated a high correlation between factors. Finally, this study showed that the usefulness of statistical process control techniques, such as mean and range control charts, process capability indexes and multidimensional scaling analysis, in helping decision makers in Çayeli Copper Companies.

Anahtar Kelimeler

Kaynakça

  1. Benneyan, J.C., Lloyd, R.C., Plsek, P.E., 2003. Statistical Process Control As A Tool for Research and Healthcare Improvement, Quality Safety Health Care, Vol. 12, pp. 458-464. DOI: 10.1136/qhc.12.6.458
  2. Oakland, J.S., 2004. Oakland on Quality Management, 3rd Edition, Butterworth Heinemann.
  3. Mason, B., Antony, J., 2007. Statistical Process Control: An Essential Ingredient for Improving Service and Manufacturing Quality, Managing Service Quality, Vol. 10(4), pp. 233-238. DOI: 10.1108/09604520010341618
  4. Salaheldin, I., 2009. Critical Success Factors for TQM Implementation and Their Impact on Performance of SMEs, International Journal of Productivity and Performance Management, Vol. 58(3), pp. 215-237. DOI: 10.1108/17410400910938832
  5. Madanhire, I., Mbohwa, C., 2016. Application of Statistical Process Control (SPC) in Manufacturing Industry in A Developing Country, Procedia CIRP, Vol. 40, pp. 580-583. DOI: 10.1016/j.procir.2016.01.137
  6. Mirko, S., Jelena, J., Zdravko, K., Aleksandra, V., 2009. Basic Quality Tools in Continuous Improvement Process, Journal of Mechanical Engineering, Vol. 55(5), pp. 1-4.
  7. Azizi, A., 2015. Evaluation Improvement of Production Productivity Performance using Statistical Process Control Overall Equipment Efficiency and Autonomous Maintenance, Procedia Manufacturing, Vol. 2, pp. 186-190. DOI: 10.1016/j.promfg.2015.07.032
  8. Tan, K.C., 2002. A Comparative Study of 16 National Awards, Total Quality Magazine, Vol. 14(3), pp. 165-167. DOI: 10.1108/09544780210425874

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

22 Eylül 2020

Gönderilme Tarihi

16 Ekim 2019

Kabul Tarihi

9 Nisan 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 22 Sayı: 66

Kaynak Göster

APA
Arslan, V. (2020). Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, 22(66), 681-690. https://doi.org/10.21205/deufmd.2020226603
AMA
1.Arslan V. Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis. DEUFMD. 2020;22(66):681-690. doi:10.21205/deufmd.2020226603
Chicago
Arslan, Volkan. 2020. “Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 22 (66): 681-90. https://doi.org/10.21205/deufmd.2020226603.
EndNote
Arslan V (01 Eylül 2020) Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 22 66 681–690.
IEEE
[1]V. Arslan, “Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis”, DEUFMD, c. 22, sy 66, ss. 681–690, Eyl. 2020, doi: 10.21205/deufmd.2020226603.
ISNAD
Arslan, Volkan. “Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 22/66 (01 Eylül 2020): 681-690. https://doi.org/10.21205/deufmd.2020226603.
JAMA
1.Arslan V. Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis. DEUFMD. 2020;22:681–690.
MLA
Arslan, Volkan. “Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi, c. 22, sy 66, Eylül 2020, ss. 681-90, doi:10.21205/deufmd.2020226603.
Vancouver
1.Volkan Arslan. Statistical Process Control for Çayeli Copper Companies using X-R Control Charts and Multidimensional Scaling Analysis. DEUFMD. 01 Eylül 2020;22(66):681-90. doi:10.21205/deufmd.2020226603

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