Interactive multiobjective DEA target setting using lexicographic DDF

Soltani, Narges; Lozano, Sebastián

doi:10.1051/ro/2019105

Cited by 8 publications

(2 citation statements)

References 47 publications

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“…There are many DEA models that can be used in different situations [9][10][11][12][13]. In particular, several specific DEA approaches have been proposed for project selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Envelopment Analysis Approach to Energy-Saving Projects Selection in an Energy Service Company

2021

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Project selection is a common problem for many companies. Specifically, it consists in identifying which projects should be selected with regard to their economic efficiency, i.e., the projects that maximise the profit they bring in while minimising the cost of the resources consumed. In this paper, we have focused our interest on energy service companies because of the importance of a convenient selection of their projects. In these types of companies, the attractiveness of a project depends on both the profit estimations obtained in simulations of the energy systems to be improved, as well as the probability that the project will be awarded (e.g., in local government bids, where typically several energy service companies compete to win the bid). We propose a new project selection method, especially tailored to energy service companies and based on centralised data envelopment analysis models with limited availability of the resources. This contrasts with all existing project selection methods and allows the proposed approach to make more efficient use of the limited resources. We have applied the model to a real-world case by selecting projects in a Spanish energy service company, showing the benefits of applying this approach, and comparing the results obtained with other data envelopment analysis project selection approaches.

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“…There are many DEA models that can be used in different situations [9][10][11][12][13]. In particular, several specific DEA approaches have been proposed for project selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Data Envelopment Analysis Approach to Energy-Saving Projects Selection in an Energy Service Company

2021

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“…(2004), Neto and Angulo‐Meza (2007), Yang et al. (2009), Soltani and Lozano (2020), and Henriques et al. (2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Identifying suitable benchmarks in the way toward achieving targets using data envelopment analysis

Ruiz

Sirvent

2021

Int Trans Operational Res

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It was earlier claimed by the authors that the data envelopment analysis (DEA) models commonly used only implement objectives concerned with target setting, while peer identification, which is a key issue for the benchmarking, is actually a by‐product. For this reason, they developed some bi‐objective DEA benchmarking models that pay special attention to the selection of benchmarks among peers, in addition to setting the closest targets. Following an analogous approach, we here continue that research and propose new models that provide a response to the question of whom to emulate to achieve the targets that have been set for a given organization. Thus, the proposed approach now aims to relate the setting of targets and the identification of peers, specifically identifying peers that may serve as benchmarks for improving performance in the direction established by the targets set. As a result, the models identify the so‐called leading benchmark, which is the one whose performance is most aligned with the targets. Eventually, a series of targets and peers are generated by varying the importance attached to the two objectives considered, which offer decision‐makers alternatives for the selection of a course of action when planning improvements.

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A modified discrete Raiffa approach for efficiency assessment and target setting

Lozano

Soltani

2020

Ann Oper Res

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Interactive multiobjective DEA target setting using lexicographic DDF

Cited by 8 publications

References 47 publications

Data Envelopment Analysis Approach to Energy-Saving Projects Selection in an Energy Service Company

Data Envelopment Analysis Approach to Energy-Saving Projects Selection in an Energy Service Company

Identifying suitable benchmarks in the way toward achieving targets using data envelopment analysis

A modified discrete Raiffa approach for efficiency assessment and target setting

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