Utilizando PROMETHEE V para seleção de portfólio de projetos de uma empresa de energia elétrica

López, Hipólito Marcelo Losada; Almeida, Adiel Teixeira de

doi:10.1590/s0103-65132013005000045

Cited by 9 publications

(6 citation statements)

References 19 publications

(7 reference statements)

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“…Given the particular conditions of the Brazilian electricity sector, the proposed framework for project selection considered a two-phase approach that begins by solving the knapsack problem by means of an integer programming formulation, incorporating different kinds of constraints, and then evaluate the projects with a multi-criteria basis, using the PROMETHEE outranking method [2] Complementary, this choice opens the possibility of providing comparisons with other common approaches found in the literature review, such as those that apply just outranking methods or complement them by means of optimization efforts (in the inverse way of the one proposed here) [3].…”

Section: Combining Knapsack Problem and Outranking Methodsmentioning

confidence: 99%

“…It is important to remember that companies are supposed to be finned if they do not accomplish with their R&D annual obligations, reinforcing the necessity of maximizing their financial resources consumption. This condition is a main concern for companies that face this kind of challenge and it is not properly considered in previous similar works found in literature such as [3,6,9].…”

Section: Numerical Experiments: a Simple Examplementioning

confidence: 98%

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R&D and Innovation Project Selection: Can Optimization Methods be Adequate?

Bin

Azevedo

Duarte

et al. 2015

Procedia Computer Science

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This article proposes a comprehensive framework for R&D and innovation project selection under uncertainty and subject to real-world constraints applicable to the Brazilian electricity sector, using a combination of integer programming formulation and a PROMETHEE-based method. The objective is to contribute to this domain by offering an approach suitable for the challenges of this sector, but also applicable to other situations involving R&D and innovation investments under similar conditions. The manuscript presents applications using real data from an electricity company. It also compares the proposed method with similar approaches found in the literature such as PROMETHEE II and V. The application revealed the best performance of the proposed framework in dealing with the sector's regulatory constraints, which emphasize the companies' accomplishment with R&D and innovation expenditures obligations. In this way, although R&D and innovation project selection is not a typical case of optimization, under some particular regional, sector-based or organization boundaries this can be a better solution.

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Section: Combining Knapsack Problem and Outranking Methodsmentioning

confidence: 99%

Section: Numerical Experiments: a Simple Examplementioning

confidence: 98%

R&D and Innovation Project Selection: Can Optimization Methods be Adequate?

Bin

Azevedo

Duarte

et al. 2015

Procedia Computer Science

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show abstract

“…One example is the work of Lima et al (2014) who use the Preference Ranking Organization Method for Enrichment Evaluations I (PROMETHEE I) method aiming to prioritize projects in a water-treatment and sanitation company. Also, authors López & Almeida (2014) applied the PROMETHEE V method to select a project portfolio in the electrical industry, characterized by a problem of ordering. In both applications, they took into account the non-compensatory rationality of the decision in the problem.…”

Section: Multicriteria Support To Decision-makingmentioning

confidence: 99%

O problema de seleção de portfólio de projetos de pesquisa em instituições de ensino: um estudo de caso

Ribeiro

Alves

2017

Gest. Prod.

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Resumo: Este estudo propõe um modelo para apoiar o processo decisório na seleção de propostas de projetos de pesquisa científica em uma instituição de ensino e pesquisa. Na construção do modelo foi utilizado o método Palavras-chave: Apoio multicritério à decisão; AHP; Gerenciamento de portfólio de projetos; Avaliação da pesquisa científica; Seleção de projetos.Abstract: This paper proposes a model to support decisions in scientific-research project portfolio selection in an educational institution. We used the Analytic Hierarchy Process (AHP) method for development of this model, combining relative and absolute measurement techniques. That combination allowed us to handle a large number of projects and to measure, in an easier way, all variables in the selection. Our research procedure was a case study based on exploratory research and followed by a quantitative modeling approach. Additionally, we performed documental research and conducted non-structured interviews to better understand the research setting and institutional goals. This contributes to propose a more consistent tailoring grant-request and research-funding project selection criteria. This paper contributes to sort out research project proposals that best adhered to the organization's goals, allowing educational-organization managers to handle the problem of limited-resource allocation in the context of large number of project requests.

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“…From the literature, there is the PROMETHEE V method (Preference Ranking Organization Method for Enrichment Evaluations), which carries out this function. It uses the net flow of PROMETHEE II method as the coefficient for each alternative in the objective function and applies integer linear programming (Lopez & Almeida, 2013;Fontana & Morais, 2013). However, this method does not consider trade-offs between attributes.…”

Section: Introductionmentioning

confidence: 99%

Decision model to control water losses in distribution networks

Fontana

Morais

2016

Prod.

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The losses in the urban water supply networks have become a growing concern. There are several alternatives for the quantification, detection and monitoring of water losses. However, in general, water companies have budgetary and other constraints that hinder implementation. Therefore, this paper presents a model to aid the selection of a subset of preventive maintenance actions to control water losses while accounting for the water companies' restrictions. The model combines an additive multi-attribute value analysis by applying the SMARTER method to evaluate alternatives with Integer Linear Programming (ILP). The model shows to be efficient in order to achieve a portfolio of preventive maintenance actions, particularly when the decision maker considers that, there is a compensation for attribute evaluations. KeywordsWater distribution network. Water loss control. Multi-attribute. SMARTER method. Integer linear programming.

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Utilizando PROMETHEE V para seleção de portfólio de projetos de uma empresa de energia elétrica

Cited by 9 publications

References 19 publications

R&D and Innovation Project Selection: Can Optimization Methods be Adequate?

R&D and Innovation Project Selection: Can Optimization Methods be Adequate?

O problema de seleção de portfólio de projetos de pesquisa em instituições de ensino: um estudo de caso

Decision model to control water losses in distribution networks

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