Statistical Process Control for Heavy-Metal Adsorption: Challenges and Opportunities

Kwame Akter

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2013.3701.038


1. Introduction

The inherent complexity of heavy-metal adsorption calls for robust analytical and experimental tools suited to industrial automation. Experimental data collected from several industrial automation were analysed with the help of statistical process control. The measured efficiency reached up to 33% under the optimal operating conditions. The results support the adoption of the proposed method in routine engineering practice.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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