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Investigação e desenvolvimento de um algoritmo para planeamento e otimização da produção no chão de fábrica da COFICAB
| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| Documento em Acesso Embargado até dia 31-01-2028. Tente solicitar cópia ao autor carregando no ficheiro | 5.47 MB | Adobe PDF |
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Abstract(s)
A COFICAB é uma empresa internacional especializada na produção de cabos elétricos para a indústria automóvel e setores relacionados, tendo como principal matéria-prima o cobre. Devido à complexidade do fluxo de produção no chão de fábrica, o planeamento e sequenciamento da produção tornam-se desafios significativos, exigindo estratégias eficientes para otimizar os processos e garantir o cumprimento dos prazos de entrega. O presente documento descreve a investigação e desenvolvimento de um algoritmo de otimização para o planeamento e sequenciamento da produção, focado nos três principais processos da área do metal: desbastagem, trefilagem e torção. O objetivo é facilitar o trabalho das equipas de logística e planeamento da COFICAB, proporcionando maior eficiência na alocação de recursos e facilitando a tomada de decisões. O algoritmo desenvolvido é integrado numa aplicação web, permitindo a visualização interativa dos resultados através de um gráfico de Gantt. O primeiro passo rumo a este objetivo consiste na identificação dos principais desafios operacionais enfrentados no chão de fábrica da COFICAB, bem como das restrições existentes no planeamento da produção. Em seguida, a realização de uma revisão bibliográfica permite aprofundar o conhecimento sobre os problemas subjacentes, e analisar abordagens e metodologias aplicáveis à complexidade do contexto industrial da empresa. Complementando o estado da arte, a abordagem proposta neste trabalho é delineada de forma detalhada, assim como a definição dos requisitos técnicos e funcionais em colaboração com as equipas da COFICAB, a modelagem do sistema, a estrutura de dados e a arquitetura do sistema, que se divide em três componentes principais: base de dados, servidor e interface web. Após a fase de planeamento, procede-se ao desenvolvimento e implementação da solução. Durante esta fase, são definidos e detalhados os critérios que influenciam os resultados do algoritmo, incluindo o seu fluxo de execução e a respetiva integração numa aplicação web, garantindo o cumprimento dos requisitos estabelecidos. Para avaliar a eficácia da solução proposta, o algoritmo é submetido a um conjunto de testes práticos, realizados em colaboração com as equipas de logística e planeamento. Estes testes visam simular um cenário real de planeamento, permitindo uma análise crítica dos resultados obtidos e a validação da sua aplicabilidade no ambiente de produção da COFICAB. Por fim, são apresentadas as principais conclusões, incluindo a validação do trabalho desenvolvido, as dificuldades enfrentadas e os objetivos alcançados. O documento encerra com a definição de possíveis melhorias e futuras implementações, visando a evolução contínua da solução proposta.
COFICAB is an international company specializing in the production of electrical cables for the automotive industry and related sectors, with copper as its primary raw material. Due to the complexity of the production flow on the factory floor, production planning and sequencing become significant challenges, requiring efficient strategies to optimize processes and ensure compliance with delivery deadlines. This document describes the research and development of an optimization algorithm for production planning and sequencing, focusing on the three main processes in the metal sector. The objective is to facilitate the work of COFICAB’s logistics and planning teams, improving resource allocation efficiency and enhancing decision-making. The developed algorithm is integrated into a web application, allowing interactive visualization of results through a Gantt chart. The first step toward this objective involves identifying the main operational challenges faced on COFICAB’s factory floor, as well as the existing constraints in production planning. Next, a literature review is conducted to deepen the understanding of underlying problems and analyze approaches and methodologies applicable to the complexity of the company’s industrial environment. Complementing the state of the art, the proposed approach in this work is outlined in detail, along with the definition of technical and functional requirements in collaboration with COFICAB’s teams, system modeling, data structure, and system architecture, which is divided into three main components: database, server, and web interface. Following the planning phase, the solution is developed and implemented. During this stage, a set of predefined criteria that influence the algorithm’s outcome, its execution flow, and its integration into the web application are thoroughly detailed, ensuring compliance with the defined requirements. To evaluate the effectiveness of the proposed solution, the algorithm undergoes a set of practical tests, conducted in collaboration with logistics and planning teams, simulating real production planning and enabling a critical analysis of the obtained results. Finally, the main conclusions are presented, including the validation of the developed work, challenges encountered, and achieved objectives. The document concludes with the definition of possible improvements and future implementations, aiming for the continuous evolution of the proposed solution.
COFICAB is an international company specializing in the production of electrical cables for the automotive industry and related sectors, with copper as its primary raw material. Due to the complexity of the production flow on the factory floor, production planning and sequencing become significant challenges, requiring efficient strategies to optimize processes and ensure compliance with delivery deadlines. This document describes the research and development of an optimization algorithm for production planning and sequencing, focusing on the three main processes in the metal sector. The objective is to facilitate the work of COFICAB’s logistics and planning teams, improving resource allocation efficiency and enhancing decision-making. The developed algorithm is integrated into a web application, allowing interactive visualization of results through a Gantt chart. The first step toward this objective involves identifying the main operational challenges faced on COFICAB’s factory floor, as well as the existing constraints in production planning. Next, a literature review is conducted to deepen the understanding of underlying problems and analyze approaches and methodologies applicable to the complexity of the company’s industrial environment. Complementing the state of the art, the proposed approach in this work is outlined in detail, along with the definition of technical and functional requirements in collaboration with COFICAB’s teams, system modeling, data structure, and system architecture, which is divided into three main components: database, server, and web interface. Following the planning phase, the solution is developed and implemented. During this stage, a set of predefined criteria that influence the algorithm’s outcome, its execution flow, and its integration into the web application are thoroughly detailed, ensuring compliance with the defined requirements. To evaluate the effectiveness of the proposed solution, the algorithm undergoes a set of practical tests, conducted in collaboration with logistics and planning teams, simulating real production planning and enabling a critical analysis of the obtained results. Finally, the main conclusions are presented, including the validation of the developed work, challenges encountered, and achieved objectives. The document concludes with the definition of possible improvements and future implementations, aiming for the continuous evolution of the proposed solution.
Description
Keywords
COFICAB Fluxo de Produção Planeamento e Sequenciamento Otimização Algoritmo Aplicação Web Flow Production Planning and Scheduling Optimization Algorithm Web Application