Simulação e otimização para o problema integrado de alocação de recursos humanos especialistas e sequenciamento de tarefas em uma indústria criativa

• Ano de defesa: 2017
• Autor(a) principal: Santos, André Luis Marques Ferreira dos
• Orientador(a): Pereira, Fabio Henrique
• Banca de defesa: Pereira, Fabio Henrique, Galhardi, António César, Junqueira, Leonardo, Schimit, Pedro Henrique Triguis
• 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: indústria criativa; otimização; simulação; algoritmo genético; sequenciamento de tarefas; alocação de recursos humanos
• Palavras-chave em Inglês: creative industry; optimization; simulation; genetic algorithm; task scheduling; human resources allocation
• Área do conhecimento CNPq: ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: http://bibliotecatede.uninove.br/handle/tede/1729

The internet has contributed to the appearance of new kinds of businesses, which require a peculiar scientific approach in order to enlarge the operational results of the said enterprises. This context gave rise to a new set of organizations, businesses focused on intellectual production, the so-called creative industries. One of the ways to assess these intellectual capital companies is the optimization of human resources time, also known as Human Resources Specialists (HRS). The optimization of HRS’ consists in identifying which resources must be allocated to each project and the order in which the given tasks must be undertaken. In literature, this subject is known as “integrated problem of resources allocation and task scheduling”, commonly studied in manufacture businesses as “job shop problem”, but there is very little reference of the subject in the context of creative industries. Based on this assumption, the goal of this piece of work is to apply heuristic techniques to solve the HRS allocation and task scheduling problems within creative industries in an integrated way. Therefore, the model developed herein becomes relevant to researches involving the use of intellectual capital. The mentioned model consists in representing, through computer simulations, the operation of a competitive intelligence department and, making use of heuristics, determine the best scenarios for system optimization. In other words, to identify which of those scenarios makes viable to perform all projects in the shortest time possible. This model was based in real data, collected in two years of thorough observation of a company, the study object of this work. The outcome was satisfactory and the proposed model has achieved its objective.