A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services

González, José Antonio Palomero; Almenar-Llongo, Vicent; Ramón, Fuentes-Pascual

doi:10.1016/j.techfore.2021.121300

Cited by 7 publications

(2 citation statements)

References 126 publications

(163 reference statements)

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“…Several authors integrate the use of DEA with MCDA methods (cf., e.g., Olanrewaju et al 2013;Shakouri et al 2014;Gouveia et al 2021;Wang and Dang 2021;Rivero Gutiérrez et al 2022;Antonio et al 2022) by exploiting their similarities in formulation (Stewart 1996). Hatefi and Torabi (2010), e.g., propose the construction of a CI through an MCDA-DEA approach in which the entities are evaluated through a series of common weights.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Parsimonious AHP-DEA Integrated Approach for Efficiency Evaluation of Production Processes

Ammirato

Fattoruso

Violi

2022

JRFM

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This document proposes an innovative composite indicator to measure and control the performance of production processes. The aim is to provide a tool for controlling the efficiency of the processes, assessed in relation to the number and the impact of occurring “errors”, which can take into account the opinion of experts in the specific domain. This allows for the definition of a more realistic and effective decision support system. Our composite indicator is based on an integrated approach based on Data Envelopment Analysis (DEA), and a new multi-criteria method such as Parsimonious Analytical Hierarchy Process (PAHP). The results obtained on a real test case, based on the automotive production domain, show that the composite indicator built with PAHP-DEA allows us to have clear evidence of the efficiency level of each process and the overall impact of errors on all the processes under evaluation. From a methodological point of view, we have for the first time combined the new thrifty AHP with the DEA. From an application point of view, this work introduces a new tool capable of evaluating the efficiency of production processes in an extremely competitive sector, exploiting the knowledge of the experts in the domain of errors, internal processes and the dynamics that occur.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Parsimonious AHP-DEA Integrated Approach for Efficiency Evaluation of Production Processes

Ammirato

Fattoruso

Violi

2022

JRFM

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“…KPIs and CIs are used to discuss the state of water and environmental sustainability at academic and organizational levels. CI was utilized in assessment and benchmarking the environmental performance of companies based on water supply, wastewater collection, and solid waste management (Mergoni, D'Inverno, & Carosi, 2022) and to measure the quality of water supply including six aspects of network quality, water quality, water price, complaints, obstacles created by network upgrade, and service continuity(José Antonio, Vicent, & Ramón, 2022). In addition, comparing the sustainability of four wastewater management options with a CI including total annual costs, carbon emission intensity, eutrophication, and flexibility was developed by applying the analytic hierarchy process (AHP) method (Sun et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Developing the Overall Performance Index for Water Supply Systems based on Fair Benchmarking and Strong Sustainability

Baniasadi,

Mehrabadi

2024

Preprint

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Performance assessment indicators play a crucial role in evaluating water supply systems (WSSs). Developing a Composite Indicator (CI) that integrates key performance indicators (KPIs) offers significant advantages. This study aims to explore various aspects of creating a CI for assessing WSS performance, including clustering, normalizing, weighting, and aggregating KPIs. Data corresponding to selected KPIs from diverse WSSs in Iran were collected and categorized into four dimensions: Environmental, Financial, Organizational, and Social, to ensure comprehensive performance evaluation and calculation of an Overall Performance Index (OPI). A new multi-criteria method was employed to assign weights to KPIs in the CI Based on the concept of non-compensation. WSSs were grouped into clusters based on population, water resource type, and climate, and KPIs were normalized accordingly based on fair benchmarking. A non-linear (Geometric) method was utilized to aggregate KPIs, emphasizing strong sustainability and non-compensation interactions. The change in the results of the selected method was compared with the previous methods. The study found that method variation at each stage of CI development significantly affected the OPI and ranking of WSSs. Population emerged as a significant factor, and key findings include the substantial impact of resource type and climate on specific KPIs, underscoring the need to consider influencing factors in benchmarking. The non-linear aggregation method demonstrated greater rigor and sustainability compared to linear methods, aligning with principles of fair benchmarking and WSS sustainability.

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Environmental Accounting for the Circularization of the Packaged Water Sector in Italy

Amicarelli,

Bux,

Lagioia

2024

Circular Economy and Sustainability

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A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services

Cited by 7 publications

References 126 publications

Parsimonious AHP-DEA Integrated Approach for Efficiency Evaluation of Production Processes

Parsimonious AHP-DEA Integrated Approach for Efficiency Evaluation of Production Processes

Developing the Overall Performance Index for Water Supply Systems based on Fair Benchmarking and Strong Sustainability

Environmental Accounting for the Circularization of the Packaged Water Sector in Italy

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