Detalhes bibliográficos
Ano de defesa: |
2012 |
Autor(a) principal: |
Barbosa, Victor Hugo Barroso |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
|
Link de acesso: |
http://www.repositorio.ufc.br/handle/riufc/7991
|
Resumo: |
One of the main characteristics of road construction projects is the high utilization of heavy construction equipment in earthmoving and paving jobs, which correspond to the largest percentage of the budget of a project of this type. Despite its importance, the selection of equipment is not well defined. Contractors depend on subjective judgments based on personal experience and there is not usually any selection method. Contractors usually use the same construction equipment in all the projects. This thesis is a contribution to solve that problem and aims to develop a decision support system for selecting the equipment fleet. This work presents a computational system called SiSEq, which allows the decision maker to choose the ideal equipment fleet for a road construction project. SiSEq presents fleets scenarios, with production rates of the equipments, number of units required to meet the deadline and production costs. It is expected to show the construction community that the proposed system can be useful in evaluation of scenarios and in reduction of costs. |