Research Article

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

Volume: 22 Number: 66 September 22, 2020
TR EN

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

Abstract

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.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

September 22, 2020

Submission Date

October 16, 2019

Acceptance Date

April 9, 2020

Published in Issue

Year 2020 Volume: 22 Number: 66

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 (September 1, 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, vol. 22, no. 66, pp. 681–690, Sept. 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 (September 1, 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, vol. 22, no. 66, Sept. 2020, pp. 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. 2020 Sep. 1;22(66):681-90. doi:10.21205/deufmd.2020226603

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