| Full text | |
| Author(s): |
Jones, Dylan
;
Florentino, Helenice
;
Cantane, Daniela
;
Oliveira, Rogerio
Total Authors: 4
|
| Document type: | Journal article |
| Source: | European Journal of Operational Research; v. 255, n. 3, p. 845-855, DEC 16 2016. |
| Web of Science Citations: | 4 |
| Abstract | |
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) | |
| FAPESP's process: | 14/04353-8 - Multiobjective optimization applied to sugarcane biomass utilization for generation of energy |
| Grantee: | Daniela Renata Cantane |
| Support type: | Research Grants - Visiting Researcher Grant - International |
| FAPESP's process: | 15/07293-9 - 27th European Conference on Operational Research |
| Grantee: | Daniela Renata Cantane |
| Support type: | Research Grants - Meeting - Abroad |
| FAPESP's process: | 14/01604-0 - A multiobjective methodology for renewable energy |
| Grantee: | Helenice de Oliveira Florentino Silva |
| Support type: | Scholarships abroad - Research |