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O trabalho proposto consistiu na realização dos estudos e definições necessárias para elaboração de um processo integrado de planeamento da produção na unidade de negócio de Automação da Efacec, utilizando as melhores práticas, com o objetivo de atingir uma excelência operacional e eliminar atrasos na produção. Foi dada particular relevância às previsões efetuadas ainda em fase de proposta comercial. Para tal foi realizado um estudo de métodos de previsões, assim como dos processos atuais da unidade de automação da Efacec possibilitando identificar e sugerir medidas de melhoria com vista à redução dos prazos de entrega dos equipamentos. Após identificação do método a seguir foi elaborada a especificação do novo módulo de previsões, Forecast. O método de previsões selecionado foi uma combinação dos seguintes métodos: a probabilidade estatística de um acontecimento futuro (definida em cada proposta pelo gestor comercial), a previsão de vendas mensal de cada produto calculada com base nas vendas dos últimos três anos (análise de séries temporais) a as tendências de vendas para o ano atual (qualitativo). O novo módulo de previsões será integrado no software uQuotes já existente e utilizado pela equipa comercial para elaboração das propostas para os clientes. O Forecast irá gerar a tabela de necessidades tendo em conta os equipamentos de cada proposta, sendo possível fazer o mapeamento entre cada necessidade e a proposta que lhe deu origem. O módulo Forecast irá também atualizar a tabela de previsões do Enterprise Resource Planning (ERP) com as necessidades dos próximos três meses, o que permitirá a compra dos componentes dos artigos presentes na tabela de necessidades atempadamente, e desta forma reduzir o prazo de entrega dos equipamentos. Esta redução será verificada pelo cumprimento do On Time Delivery (OTD). Devido à decisão da Efacec de alterar o software ERP do BaaN para o SAP, a meio deste projeto, não foi possível verificar a melhoria nos prazos de entrega. No entanto, e de forma a controlar o processo de implementação, que irá ocorrer em 2020, foi efetuado um plano detalhado para acompanhar o mesmo.
The proposed project consisted in carrying out the studies and definitions required to prepare an integrated production planning process in the Efacec Automation business unit, using the best practices, with the goal of achieving operational excellence and eliminating delays in production. Relevance was given to the forecast made at the commercial proposal stage. For that, a study of forecasting methods was carried out, as well as a study of the current ASE processes, allowing to identify and suggest improvement measures with the aim to reduce equipment delivery time. After defining the method to be applied, the specification of the new forecast module, Forecast, was elaborated. The selected forecast method was a combination of the following methods: the statistical probability of a future event (defined in each proposal by the commercial manager), the monthly sales forecast of each product calculated based on the sales of the last three years (time series analysis) and the sales trends for the current year (qualitative). The new forecast module will be integrated into the existing uQuotes software and used by the sales team to elaborate proposals for customers. The Forecast will generate the table of requirements considering the equipment of each proposal, being possible to do the mapping between each requirement and the proposal that gave rise to it. Forecast will also update the ERP forecast table with the requirements for the next three months, which will allow the purchase of the components of the item present in the requirements table in a timely manner, thus reducing the delivery time of the equipment. This reduction will be verified by compliance of the OTD. Due to Efacec's decision to change ERP software from BaaN to SAP, midway through this project, it was not possible to verify the improvement in delivery times. However, to control the future implementation process, which will take place in 2020, a detailed plan was implemented to follow it.
The proposed project consisted in carrying out the studies and definitions required to prepare an integrated production planning process in the Efacec Automation business unit, using the best practices, with the goal of achieving operational excellence and eliminating delays in production. Relevance was given to the forecast made at the commercial proposal stage. For that, a study of forecasting methods was carried out, as well as a study of the current ASE processes, allowing to identify and suggest improvement measures with the aim to reduce equipment delivery time. After defining the method to be applied, the specification of the new forecast module, Forecast, was elaborated. The selected forecast method was a combination of the following methods: the statistical probability of a future event (defined in each proposal by the commercial manager), the monthly sales forecast of each product calculated based on the sales of the last three years (time series analysis) and the sales trends for the current year (qualitative). The new forecast module will be integrated into the existing uQuotes software and used by the sales team to elaborate proposals for customers. The Forecast will generate the table of requirements considering the equipment of each proposal, being possible to do the mapping between each requirement and the proposal that gave rise to it. Forecast will also update the ERP forecast table with the requirements for the next three months, which will allow the purchase of the components of the item present in the requirements table in a timely manner, thus reducing the delivery time of the equipment. This reduction will be verified by compliance of the OTD. Due to Efacec's decision to change ERP software from BaaN to SAP, midway through this project, it was not possible to verify the improvement in delivery times. However, to control the future implementation process, which will take place in 2020, a detailed plan was implemented to follow it.
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ASE uQuotes Planeamento Produção Previsões Gestor Comercial Planning Production Forecast Sales Manager