An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders

Autor(es)

Jones, Dylan ; Florentino, Helenice ; Cantane, Daniela ; Oliveira, Rogerio

• Tipo de documento: Artigo Científico
• Fonte: European Journal of Operational Research; v. 255, n. 3, p. 845-855, DEC 16 2016.
• Citações Web of Science: 4

Resumo

This paper proposes a goal programming methodology to ensure that a mix of balance and optimisation is achieved across a hierarchical decision network. The extended goal programming principle is used for this purpose. A model is constructed that provides consideration of balance and efficiency of multiple objectives and stakeholders at each network node level. A goal programming formulation to provide the decision that best meets the goals of the network is given. The proposed model is controlled by three key parameters that represent the level of non-compensation between objectives, level of non-compensation between stakeholders, and level of centralisation in the network. The methodology is demonstrated on an example pertaining to regional renewable energy generation and the results are discussed. Conclusions are drawn as to the effect of different attitudes towards compensatory behaviour between objectives and stakeholders in the network. (C) 2016 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 14/04353-8 - Otimização multiobjetivo aplicada aos processos de aproveitamento da biomassa da cana-de-açúcar para geração de energia
• Beneficiário: Daniela Renata Cantane
• Modalidade de apoio: Auxílio à Pesquisa - Pesquisador Visitante - Internacional
• Processo FAPESP: 14/01604-0 - Metodologia multiobjetivo para otimização de processos em energias renováveis
• Beneficiário: Helenice de Oliveira Florentino Silva
• Modalidade de apoio: Bolsas no Exterior - Pesquisa
• Processo FAPESP: 15/07293-9 - 27th European Conference on Operational Research
• Beneficiário: Daniela Renata Cantane
• Modalidade de apoio: Auxílio à Pesquisa - Reunião - Exterior