Detalhes bibliográficos
| Ano de defesa: |
2015 |
| Autor(a) principal: |
Silva, Ellen Martins Lopes da
 |
| Orientador(a): |
Pereira, Fabio Henrique |
| Banca de defesa: |
Pereira, Fabio Henrique
,
Junqueira, Leonardo
,
Araújo, Sidnei Alves de,
Spinola, Mauro de Mesquita |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Nove de Julho
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação de Mestrado e Doutorado em Engenharia de Produção
|
| Departamento: |
Engenharia
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Palavras-chave em Inglês: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://bibliotecatede.uninove.br/handle/tede/1367
|
Resumo: |
In the pharmaceutical industry, research and launching of brand-name or generic pharmacy is the main point in the pattern of industry competition. However, the drug development project involves many processes that interrelate, making their management difficult for the project manager. Despite the existence of methods used in project management, such as CPM, PERT and GANTT chart, these methods have limitations when the couldn't treat appropriately more complex projects, involving stochastic and dynamic interaction of a set of objects, such as people or machines, for example, aimed at a target or logical connection. Other techniques, based on Mathematical Programming, for example, are normally specific used in situations and goals, such as minimizing the end date of a project. Therefore, considering the goal of developing a model to be used with different purposes, discrete-event simulation was adopted in this work. This work presents the construction of a computational model of discrete-event simulation, aimed at the development of generic drug of a pharmaceutical industry, and aims to assist project managers as part of a set of systems to support decision-making. The results of the validation and verification of the model show that the values obtained from the simulation converge with the historical values obtained and with information from the experts. The constructed model has modules that allow estimating the impact of variables on the duration of the project, monitoring the use of system resources making it possible to estimate, from the simulation, the real capacity of the system, the possibility of accepting new projects and the need to acquire new features. |
