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A Performance Measurement Tool Leading Wastewater Treatment Plants toward Economic Efficiency and Sustainability

Author

Listed:
  • Andrea Guerrini

    (Department of Management, University of Verona, 37129 Verona, Italy)

  • Giulia Romano

    (Department of Economics and Management, University of Pisa, 56124 Pisa, Italy)

  • Simone Ferretti

    (GIDA. SpA, 59100 Prato, Italy)

  • Donatella Fibbi

    (GIDA. SpA, 59100 Prato, Italy)

  • Daniele Daddi

    (GIDA. SpA, 59100 Prato, Italy)

Abstract

Wastewater treatment is an important link in the water cycle that allows for water sanitation and reuse, facilitates energy generation, and allows for the recovery of products from waste. The scientific community has paid significant attention to wastewater treatment, especially from a technical point of view. Extensive literature is available on new technologies, processes, and materials to improve wastewater treatment. However, scant studies have been conducted in the management field focusing on the development of a performance measurement tool that supports plant managers. The current article addresses this literature gap, developing a reporting tool that integrates technical and cost measures and implements it in a large wastewater utility. The tool successfully identifies cause and effect linkages among key plant performance drivers and supports management in finding activities with poor performance and allows them to delay non-relevant measures of control.

Suggested Citation

  • Andrea Guerrini & Giulia Romano & Simone Ferretti & Donatella Fibbi & Daniele Daddi, 2016. "A Performance Measurement Tool Leading Wastewater Treatment Plants toward Economic Efficiency and Sustainability," Sustainability, MDPI, vol. 8(12), pages 1-14, November.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1250-:d:84121
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    References listed on IDEAS

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    Cited by:

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    7. Hadi Sarvari & Daniel W. M. Chan & Behrouz Ashrafi & Timothy O. Olawumi & Nerija Banaitiene, 2021. "Prioritization of Contracting Methods for Water and Wastewater Projects Using the Fuzzy Analytic Hierarchy Process Method," Energies, MDPI, vol. 14(22), pages 1-18, November.

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