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Title: Benchmarking operational efficiency in waste collection: Discussion of current approaches and possible alternatives

Abstract

Efficiency assessment and benchmarking are crucial for managing any organization. However, especially from a regulatory perspective, such efficiency assessment and benchmarking must be unbiased from context-specific issues and should provide an absolute rating, rather than a relative one. The current work reviews the approaches used for performance assessment and benchmarking waste collection services, revealing that the majority are biased and are not absolute, and proposes two alternative context-unbiased and absolute performance indicators, the collection capacity use (CCU) and the segregated waste collection efficiency (SWE). The proposed indicators were calculated for 246 utilities operating in Portugal. The utilities were then ranked accordingly, and their position was compared with the position attained using the equivalent performance indicators in the system currently in use by the Portuguese service regulator. The results reveal ranking differences of over 50 positions and illustrate how misleading the results from context-biased and relative metrics can be.

Authors:
ORCiD logo [1];  [2];  [3];  [4]
  1. CERIS, IST – University of Lisbon, Portugal
  2. Research Centre for Natural Resources, Environment and Society (CERNAS), Polytechnic Institute of Coimbra, Portugal, CICECO, University of Aveiro, Portugal, Universidade Aberta, Portugal
  3. Research Centre for Natural Resources, Environment and Society (CERNAS), Polytechnic Institute of Coimbra, Portugal, Department of Chemical Engineering, University of Santiago de Compostela, Spain
  4. RISCO, University of Aveiro, Portugal
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1525897
Resource Type:
Published Article
Journal Name:
Waste Management and Research
Additional Journal Information:
Journal Name: Waste Management and Research Journal Volume: 37 Journal Issue: 8; Journal ID: ISSN 0734-242X
Publisher:
SAGE Publications
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Sousa, V., Dias-Ferreira, C., Fernández-Braña, A., and Meireles, I. Benchmarking operational efficiency in waste collection: Discussion of current approaches and possible alternatives. United Kingdom: N. p., 2019. Web. doi:10.1177/0734242X19854119.
Sousa, V., Dias-Ferreira, C., Fernández-Braña, A., & Meireles, I. Benchmarking operational efficiency in waste collection: Discussion of current approaches and possible alternatives. United Kingdom. doi:10.1177/0734242X19854119.
Sousa, V., Dias-Ferreira, C., Fernández-Braña, A., and Meireles, I. Tue . "Benchmarking operational efficiency in waste collection: Discussion of current approaches and possible alternatives". United Kingdom. doi:10.1177/0734242X19854119.
@article{osti_1525897,
title = {Benchmarking operational efficiency in waste collection: Discussion of current approaches and possible alternatives},
author = {Sousa, V. and Dias-Ferreira, C. and Fernández-Braña, A. and Meireles, I.},
abstractNote = {Efficiency assessment and benchmarking are crucial for managing any organization. However, especially from a regulatory perspective, such efficiency assessment and benchmarking must be unbiased from context-specific issues and should provide an absolute rating, rather than a relative one. The current work reviews the approaches used for performance assessment and benchmarking waste collection services, revealing that the majority are biased and are not absolute, and proposes two alternative context-unbiased and absolute performance indicators, the collection capacity use (CCU) and the segregated waste collection efficiency (SWE). The proposed indicators were calculated for 246 utilities operating in Portugal. The utilities were then ranked accordingly, and their position was compared with the position attained using the equivalent performance indicators in the system currently in use by the Portuguese service regulator. The results reveal ranking differences of over 50 positions and illustrate how misleading the results from context-biased and relative metrics can be.},
doi = {10.1177/0734242X19854119},
journal = {Waste Management and Research},
number = 8,
volume = 37,
place = {United Kingdom},
year = {2019},
month = {6}
}

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