Tomada de decisão em grupo na seleção de processos para auditoria interna

L’audit, c’est un outil de gestion très important pour que les organisations puissent accomplir la réussite. Selon le fait qu’il n’y a pas des modèles d’aide à l’audit, il existe une opportunité de recherche. En considerant les Méthodes d’Aide à la Décision, il y a des plusieurs type d’applications. L’objectif de la recherche c’est la proposition d’un modèle capable de sélectionner des processus pour faire l’audit dans une distributeur de carburant en considerant la prise de décision en groupe. La modélisation normative empirique c’est la méthode de recherche utilisée. Un modèle qui utilise l’Analytic Hierarchy Process (AHP) et la prise de décision en groupe a été proposé face aux difficultés d’un département d’Audit Interne. Le modèle proposé présente les poids des processus et permet leur priorisations dans un scénario determiné. Pour l’application de ce modèle présenté, on a utilisé cinq critères et 26 alternative (processus). L’information de jugement a été bien founi par trois spécialistes du département. Quelques rendez-vous avec les participants ont été pris pour obtenir et réviser les donnés ainsi que discuter les résultats. Les résultats obtenus par le modèle permettent d’identifier les processus qu’il faut plus d’attention. L’équipe a considéré le modèle comme une proposition d’aide à la prise de décision très pertinent pour le département d’Audit Interne

Modelagem para identificação de indicadores de eficiência energética para edificações e plantas industriais

Pós-graduação em Engenharia Mecânica - FEG

Avaliação de projetos logísticos de RFID aplicados na indústria aeronáutica brasileira

Pós-graduação em Engenharia Mecânica - FEG

Comparative analysis of different meat traceability systems using multiple criteria and a social network approach

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Modelo de referência para o processo de desenvolvimento de produtos de empresas eletrônicas de base tecnológica de médio porte

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Criação de contexto favorável ao compartilhamento do conhecimento operário: pesquisa no ambiente vidreiro

In search for better competitiveness, the automotive industry has discussed and applied several concepts related to people and processes. However, in many organizations, the adopted concepts are implemented and kept unarticulated. In this context, authors recognize the role of the knowledge as competitive advantage, but it is still dealt in an implicit way with the traditional models of Production Management. Exploring opportunities in this scenario, this Thesis aims to analyse worker knowledge sharing using factors of Knowledge Management, Work Organization and Production Organization. For the realization of the present Thesis, the scope of the research was restricted to be the labour environment of the glass plants shop floor. The choice of the glass sector is justified due to high dependency on the tacit knowledge of blue-collars. The research uses a qualitative-quantitative approach and employs interviews with workers and managers to identify factors. To assess the importance of these factors in the management judgments, is employed the technique Incomplete Pairwise Comparisons based on Analytic Hierarchy Process Saaty (2001). The result indicates integration among factors and highlights the importance of systematic and technical conversation among operators to share better your knowledge. Also, worker knowledge sharing is improved using communication, training and work instruction. This research extends the conceptual frameworks encountered in literature from the factors integration of Knowledge Management with the Organization of Work and the Production and makes explicit use of the theme of knowledge. This contributes to promote of a favourable context for the creation and sharing of knowledge, among the people in the labour environment, and to support incremental innovation

Classificação multicritério de peças de reposição

Pós-graduação em Engenharia Mecânica - FEG

Análise do fatores para o compartilhamento do conhecimento operário em indústrias do setor automotivo no Brasil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Fatores que Influenciam a flexibilidade da produção de veículos comerciais

Pós-graduação em Engenharia de Produção - FEG

Aplicação de métodos com múltiplos critérios em uma empresa petroquímica

The corporate world is increasingly competitive, and companies need to go deep into the routines and work them in order to understand them fully. The market is demanding more than simple improvements that bring advances - of small or great expression; however, in a longer term it will no longer meet the ideology of the market. Companies aimed at the world class must focus on projects that will continually bring returns to the company. As previously mentioned, understanding the processes in minute details is of paramount importance, as this knowledge can be acquired by analyzing the decisions that are necessary during the process. Once the complexity increases, the quantity and difficulty of the criteria that influence them grow accordingly. At this time, methods and tools that assist decisionmaking processes can be used as, besides being able to provide the best decision methods of MCDA (Multiple Criteria Decision Aid), they provide clear and assertive understanding of the whole decision process. In developing this study, we sought to explore the AHP (Analytic Hierarchy Process) method (a MCDA method) in the choice of access service, featured by the support service used to reach and be the basis of repairs in places of difficult access. This work proposes a study of the quantitative modeling approach in a real routine activity for a Brazilian petrochemical company. Decision-making processes are explored when we seek to analyze not only the decision makers but also what directly influences them on the use of the AIJ method. Once this is achieved, the understanding of decision-making is substantiated

Um Modelo de otimização inteira mista na programação de produção de mangueiras hidráulicas

This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow

Fatores que Influenciam a flexibilidade da produção de veículos comerciais

Pós-graduação em Engenharia de Produção - FEG

Aplicação de métodos com múltiplos critérios em uma empresa petroquímica

The corporate world is increasingly competitive, and companies need to go deep into the routines and work them in order to understand them fully. The market is demanding more than simple improvements that bring advances - of small or great expression; however, in a longer term it will no longer meet the ideology of the market. Companies aimed at the world class must focus on projects that will continually bring returns to the company. As previously mentioned, understanding the processes in minute details is of paramount importance, as this knowledge can be acquired by analyzing the decisions that are necessary during the process. Once the complexity increases, the quantity and difficulty of the criteria that influence them grow accordingly. At this time, methods and tools that assist decisionmaking processes can be used as, besides being able to provide the best decision methods of MCDA (Multiple Criteria Decision Aid), they provide clear and assertive understanding of the whole decision process. In developing this study, we sought to explore the AHP (Analytic Hierarchy Process) method (a MCDA method) in the choice of access service, featured by the support service used to reach and be the basis of repairs in places of difficult access. This work proposes a study of the quantitative modeling approach in a real routine activity for a Brazilian petrochemical company. Decision-making processes are explored when we seek to analyze not only the decision makers but also what directly influences them on the use of the AIJ method. Once this is achieved, the understanding of decision-making is substantiated

Um Modelo de otimização inteira mista na programação de produção de mangueiras hidráulicas

This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow

Multi-criteria analysis in the strategic environmental assessment of the sugar and alcohol sector

The Strategic Environmental Assessment (SEA) of the sugar and alcohol sector guides a territorial and sectoral planning that benefits most of the local society and supports this economic activity in all its stages. In this way, the present work aims to determine an index of aggregation of the indicators generated in the baseline of the SEA process, called Index of Sustainability of Expansion of the Sugar and Alcohol Sector (IScana). For this, it was used the normalization of the indicators of each city by the fuzzy logic and attribution of weights by the Analytic Hierarchy Process (AHP). Then, the IScana values had been spatialized in the region of 'Grande Dourados'-Mato Grosso do Sul State. The northern portion concentrated the highest values of IScana, 0.48 and 0.55, referring to the cities of Nova Alvorada do Sul and Rio Brilhante, while, in the central portion, the city of Dourados presented the lowest value, 0.10. The selection of the set of indicators forming the IScana, and their relative importance, was satisfactory for the application of fuzzy logic and AHP techniques. The IScana index supplies objective information regarding the diagnosis of the region for the application of SEA.