Realocação de pedidos de calçados em aglomerados industriais em função de grandes distúrbios na produção.

• Autor(a) principal: Pereira Júnior, José Feliciano
• Data de Publicação: 2004
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFSCAR
• Texto Completo: https://repositorio.ufscar.br/handle/ufscar/3619
• topic: Cooperativas - organizações; Distúrbios na produçaõ; Cluster; Industrial cluster; Disturbance in the productive capacity; Footwear; Resources allocation; Binary programming; ENGENHARIAS::ENGENHARIA DE PRODUCAO

Initially this work explains, appraises and characterizes industrial cluster in the following classes: (C1) they are the Regional Cluster without formal coordenation that many authors call by Industrial Districts; (C2) class is about the clusters for Exportation e (C3) is about the Cluster Commanded by a Mother-company. The first class has been widely studied in literature. The group of research PLACOP of the Department of Production Engineering at Federal University in São Carlos has been developed research directed toward the classes C2 and C3. It is made a literature review on disturbance in the productive capacity once these factors are ones of the main problems of the current productive system; it is appraised change and disturbance, analyzed the impact of the disturbance and considered the classification of the types of disturbance in the productive capacity. After this it is briefly revised the problem of resource allocation. Later the problem of order allocation in industrial cluster in function of great disturbance in the production is studied, contemplating the definition of the problem with proposal of process of order allocation, the construction of the model and the use of the language of Modeling GAMS to get the results of the model. Finally a case study is presented that deepens the problem of disturbance in the productive capacity and order allocation in industrial cluster of the shoes´s sector of Birigüi (SP) commanded by a mother- company; in this case, the data are collected, the results are obtained and analysed. Since this research explore an aspect important and neglected by the Operations Management literature, this research brings a contribution for this knowledge area.