IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v189y2008i2p445-458.html
   My bibliography  Save this article

Quality control of wastewater treatment: A new approach

Author

Listed:
  • Aizenchtadt, Elena
  • Ingman, Dov
  • Friedler, Eran

Abstract

This paper presents a new approach to quality control of wastewater treatment. The first part formulates basic principles of statistical process control (SPC) and Taguchi Method. Then it is shown that the classical SPC technique used in industry, cannot be to applied to wastewater treatment plants without adaptation and that the Taguchi Method is inapplicable in this case. This is followed by an example from literature, which demonstrates the problems of applying the SPC method to wastewater treatment. The third part of the paper presents a case study where the performance of a greywater treatment plant is examined. The performance is analyzed by means of cross-correlation between input and output parameters. A new approach to SPC of wastewater treatment, either "Dynamic SPC" or "linear regression SPC", is presented, and a permeability coefficient is developed (the ratio of the output and input energies). Both are proposed as monitoring tools for wastewater treatment systems.

Suggested Citation

  • Aizenchtadt, Elena & Ingman, Dov & Friedler, Eran, 2008. "Quality control of wastewater treatment: A new approach," European Journal of Operational Research, Elsevier, vol. 189(2), pages 445-458, September.
    • Handle: RePEc:eee:ejores:v:189:y:2008:i:2:p:445-458
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)00547-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Corbett, Charles J. & Pan, Jeh-Nan, 2002. "Evaluating environmental performance using statistical process control techniques," European Journal of Operational Research, Elsevier, vol. 139(1), pages 68-83, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Erlantz Allur & Iñaki Heras-Saizarbitoria & Olivier Boiral & Francesco Testa, 2018. "Quality and Environmental Management Linkage: A Review of the Literature," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    2. Shamsuzzaman, Mohammad & Shamsuzzoha, Ahm & Maged, Ahmed & Haridy, Salah & Bashir, Hamdi & Karim, Azharul, 2021. "Effective monitoring of carbon emissions from industrial sector using statistical process control," Applied Energy, Elsevier, vol. 300(C).
    3. Xiaomin Zhao & Jiahui Li & Yang Li, 2022. "Impact of Environmental Tax on Corporate Sustainable Performance: Insights from High-Tech Firms in China," IJERPH, MDPI, vol. 20(1), pages 1-13, December.
    4. Luqi Wang & Xiaolong Xue & Yue Shi & Zeyu Wang & Ankang Ji, 2018. "A Dynamic Analysis to Evaluate the Environmental Performance of Cities in China," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    5. Ying Ye & Kwok Hung Lau, 2022. "Competitive Green Supply Chain Transformation with Dynamic Capabilities—An Exploratory Case Study of Chinese Electronics Industry," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    6. J. N. Pan & Sheau-Chiann Chen, 2013. "Correlated Risk Assessment and Its Managerial Applications," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    7. Charles J. Corbett & Robert D. Klassen, 2006. "Extending the Horizons: Environmental Excellence as Key to Improving Operations," Manufacturing & Service Operations Management, INFORMS, vol. 8(1), pages 5-22, March.
    8. Sotirios Bersimis & Stavros Degiannakis & Dimitrios Georgakellos, 2017. "Real-time monitoring of carbon monoxide using value-at-risk measure and control charting," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(1), pages 89-108, January.
    9. Cook, Deborah F. & Zobel, Christopher W. & Wolfe, Mary Leigh, 2006. "Environmental statistical process control using an augmented neural network classification approach," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1631-1642, November.
    10. Kumar Rajaram & Charles J. Corbett, 2002. "Achieving Environmental and Productivity Improvements Through Model-Based Process Redesign," Operations Research, INFORMS, vol. 50(5), pages 751-763, October.
    11. Hsu, Bi-Min & Shu, Ming-Hung, 2008. "Fuzzy inference to assess manufacturing process capability with imprecise data," European Journal of Operational Research, Elsevier, vol. 186(2), pages 652-670, April.
    12. Wang, Lei & Xu, Linyu & Song, Huimin, 2011. "Environmental performance evaluation of Beijing's energy use planning," Energy Policy, Elsevier, vol. 39(6), pages 3483-3495, June.
    13. Yu-min Liu & Li Xue, 2015. "The optimization design of EWMA charts for monitoring environmental performance," Annals of Operations Research, Springer, vol. 228(1), pages 113-124, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:189:y:2008:i:2:p:445-458. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.