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Análise e melhoria de processos de uma indústria de derivados de madeira
| Name: | Description: | Size: | Format: | |
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| 4.4 MB | Adobe PDF |
Advisor(s)
Abstract(s)
A presente dissertação aborda a análise e melhoria de processos numa indústria de derivados de madeira, num contexto de implementação de um novo projeto. Através da participação nesse projeto, foi possível verificar em detalhe várias intervenções, nomeadamente, a centralização da criação de códigos de materiais através da função de Master Data, a padronização da receção de encomendas, a automatização de validações no sistema ERP e a melhoria na gestão de armazéns. Adicionalmente, foi implementado um sistema RPA (Robotic Process Automation) para automatizar os desbloqueios técnicos de materiais, contribuindo para uma maior agilidade no
fluxo de dados e numa diminuição do tempo de ativação de novos materiais. Estas melhorias foram também analisadas com base em princípios Lean como o 5S, Poka-Yoke e VSM, de forma a compreender como estas abordagens podem apoiar a eficiência operacional e a melhoria contínua. Os resultados obtidos apontam para melhorias significativas ao nível da organização interna e da fiabilidade da informação, assim como uma melhoria nos tempos de resposta e maior fluidez nos processos. A criação de um novo SKU passou de 5 dias úteis para 2 dias, na receção e processamento de encomendas existiu uma redução superior a 70% dos erros manuais, e a automatização de campos obrigatórios permitiu que existisse menos intervenções nos fluxos de encomendas e maior fiabilidade da informação. No geral, este estudo permitiu acompanhar uma transição digital relevante e refletir sobre o impacto da estruturação de processos numa indústria complexa e em constante evolução.
This dissertation refers to the analysis and improvement of processes in a wood-based industry, in the context of implementing a new corporate project. Through participation in the new project, it was possible to analyze several interventions in detail, such as the centralization of the creation of material codes through the Master Data function, the standardization of order receipt, the automation of validations in the ERP system and the improvement in warehouse management. In addition, an RPA (Robotic Process Automation) system was implemented to automate the technical unlocking of materials, contributing to greater agility in the data flow and a reduction in the activation time of new materials. These changes were also analyzed based on Lean principles such as 5S, Poka-Yoke and VSM, to understand how these approaches can support operational efficiency and continuous improvement. The results point to significant improvements in terms of organization and reliability of information, as well as an improvement in response times and greater fluidity in processes. Creating a new SKU has gone from 5 business days to 2 days, while receiving and processing orders has seen a reduction of over 70% in manual errors, and the automation of mandatory fields has allowed for fewer interventions in order flows and greater information reliability. Overall, this study allowed us to monitor a relevant digital transition and reflect on the impacts of structuring processes in a complex and constantly evolving industry.
This dissertation refers to the analysis and improvement of processes in a wood-based industry, in the context of implementing a new corporate project. Through participation in the new project, it was possible to analyze several interventions in detail, such as the centralization of the creation of material codes through the Master Data function, the standardization of order receipt, the automation of validations in the ERP system and the improvement in warehouse management. In addition, an RPA (Robotic Process Automation) system was implemented to automate the technical unlocking of materials, contributing to greater agility in the data flow and a reduction in the activation time of new materials. These changes were also analyzed based on Lean principles such as 5S, Poka-Yoke and VSM, to understand how these approaches can support operational efficiency and continuous improvement. The results point to significant improvements in terms of organization and reliability of information, as well as an improvement in response times and greater fluidity in processes. Creating a new SKU has gone from 5 business days to 2 days, while receiving and processing orders has seen a reduction of over 70% in manual errors, and the automation of mandatory fields has allowed for fewer interventions in order flows and greater information reliability. Overall, this study allowed us to monitor a relevant digital transition and reflect on the impacts of structuring processes in a complex and constantly evolving industry.
Description
Keywords
Master Data Planning Supply Chain Process Improvement SKU Lean Planeamento Melhoria de processos