Em um ambiente produtivo, a falta de informações confiáveis cria, muitas vezes, uma imagem do chão-de-fábrica que não retrata a realidade, comprometendo o desempenho e diminuindo a agilidade da empresa. Neste contexto, um sistema de supervisão do chão-de-fábrica, capaz de fornecer informações confiáveis e de forma rápida, pode ser um grande diferencial para manter a competitividade das empresas de manufatura. Este trabalho sistematiza visões e conceitos que auxiliam na implantação de sistemas de supervisão do chão-de-fábrica em empresas que utilizam operações de usinagem no seu processo produtivo. Além disso, apresenta o desenvolvimento e a implantação deste sistema na Fábrica Integrada Modelo (FIM) do Núcleo de Manufatura Avançada (NUMA) da Escola de Engenharia de São Carlos - USP. / The lack of reliable information in a production environment creates a wrong image of the shop floor, affecting the plant\'s agility and its performance. A shop floor supervisory system, able to provide, in a fast way, that sort of information, can enhance the competitiveness of the manufacturing plant. The present work shows visions and concepts that can give support to the implementation of shop floor supervisory system in manufacturing plants. lt also presents the development and implementation of this kind of system in the lntegrated Model Plant (FIM) of the Advanced Manufacturing Nucleus (NUMA) at São Carlos - University of São Paulo.

O processo de gestão da produção é responsável pelo planejamento de todas as atividades de produção em empresas de manufatura. Modelos conceituais são referências para implantação e organização deste processo, e alguns não abordam o uso da coleta automática de dados de chão de fábrica. É proposto um modelo conceitual que considera a coleta automática, tratamento e disponibilização destes dados, permitindo que sejam tomadas decisões com base em dados mais precisos, detalhados e fáceis de serem obtidos. / The production management process is in charge to plan all production activities in manufacturing enterprises. Conceptual models are references for implantation and organization of this process. Some of these models do not include automatic shop floor data collection. It is proposed a conceptual model that takes into account the automatica data collection, using, treating and making it available. This will permit a decision making based on more detailed, accurated and easy to get information.

O processo de gestão da produção é responsável pelo planejamento de todas as atividades de produção em empresas de manufatura. Modelos conceituais são referências para implantação e organização deste processo, e alguns não abordam o uso da coleta automática de dados de chão de fábrica. É proposto um modelo conceitual que considera a coleta automática, tratamento e disponibilização destes dados, permitindo que sejam tomadas decisões com base em dados mais precisos, detalhados e fáceis de serem obtidos. / The production management process is in charge to plan all production activities in manufacturing enterprises. Conceptual models are references for implantation and organization of this process. Some of these models do not include automatic shop floor data collection. It is proposed a conceptual model that takes into account the automatica data collection, using, treating and making it available. This will permit a decision making based on more detailed, accurated and easy to get information.

Em um ambiente produtivo, a falta de informações confiáveis cria, muitas vezes, uma imagem do chão-de-fábrica que não retrata a realidade, comprometendo o desempenho e diminuindo a agilidade da empresa. Neste contexto, um sistema de supervisão do chão-de-fábrica, capaz de fornecer informações confiáveis e de forma rápida, pode ser um grande diferencial para manter a competitividade das empresas de manufatura. Este trabalho sistematiza visões e conceitos que auxiliam na implantação de sistemas de supervisão do chão-de-fábrica em empresas que utilizam operações de usinagem no seu processo produtivo. Além disso, apresenta o desenvolvimento e a implantação deste sistema na Fábrica Integrada Modelo (FIM) do Núcleo de Manufatura Avançada (NUMA) da Escola de Engenharia de São Carlos - USP. / The lack of reliable information in a production environment creates a wrong image of the shop floor, affecting the plant\'s agility and its performance. A shop floor supervisory system, able to provide, in a fast way, that sort of information, can enhance the competitiveness of the manufacturing plant. The present work shows visions and concepts that can give support to the implementation of shop floor supervisory system in manufacturing plants. lt also presents the development and implementation of this kind of system in the lntegrated Model Plant (FIM) of the Advanced Manufacturing Nucleus (NUMA) at São Carlos - University of São Paulo.

In today’s industry, companies are, to an increasing degree, beginning to embrace the concept of industry 4.0. One of these companies is Diab which has a factory located in Laholm where they manufacture composite material. Some of the machines at the factory are older with outdated control systems and require a way to log data in real-time. The goal of the project is to create a working prototype system that can monitor the production flow in real-time by using sensors to collect data about the work efficiency of the machine, measuring the idle time when the machine is working and when it’s not and storing this data in a database which can be accessible by a Graphical User Interface (GUI). The purpose is to investigate the requirements to get a fully operatable system and what it takes to maintain it to get an idea if the system should be self-developed by the company or buy/license from a third party. The system was built by using a NodeMCU ESP32, a Raspberry Pi 4B and a SparkFun DistanceSensor Breakout VL53L1X, and for the software to program the NodeMCU ESP32, Arduino IDE was used; Java language was used to develop the server on the Raspberry Pi and, together with MariaDB, to store the data. The tests that were conducted showed that the data could be displayed within a second in the created GUI but could not guarantee a reading of a passing block; however, it gave a good overview of the workflow of the machine. An improvement of the system is suggested by using visual-based object detection. An overview of the production in real-time can allow for future possibilities of optimising the production flow and, with an improvement of the system, can increase the automation of the production, which can bring the company closer to the concept of industry 4.0.

BAE Systems Hägglunds in Ornsköldsvik is an engineering company that producesoff-road and combat vehicles for military and civilian purposes and sees a need fordigital transformation and streamlining of production in order to maintain contractualdelivery times and be an employer of the future. The purpose of this thesis was to investigate a way to facilitate and streamline theorder card handling of a laser machine at the manufacturing site in Örnsköldsvik,where the reporting of orders is expected to become a bottleneck in production.The company’s believe in the future importance of digital transformation also wasa significant factor leading to the current work. As of today, order card handling in production is performed manually with physicaldocuments and drawings that follow through the production lines, from article toarticle, from cut-out raw material to finished detail. In this work, a concept hasbeen created, which simplifies the documentation of the production. The final concept meets the requirement for simpler reporting by (1) using a QuickResponse (QR) code and (2) by inserting an image of the article produced on theproduction card, thereby providing an overview of the articles that are simultaneouslycut in the laser machine. The QR-code is linked to additional reporting in thebusiness system for each work center, which, thus, constitutes a first step towardsdigital order cards in production. / BAE Systems AB i Örnsköldsvik är ett verkstadsföretag som producerar terräng och stridsfordon för militära och civila ändamål och ser behov av digitalisering och effektivisering av produktionen för att bättre hålla avtalsbunda leveranstider och vara en arbetsgivare för framtiden. Syftet med examensarbetet var att undersöka ett sätt att underlätta och effektivisera orderkortshanteringen för en lasermaskin på tillverkningscite i Örnsköldsvik, där avrapporteringen av order väntas bli en flaskhals i produktionen. Företagets tro på digitalisering är även den en betydande faktor för examensarbetets uppkomst. Orderkortshanteringen i produktionen sker idag manuellt med fysiska dokument och ritningar som följer med genom produktionslinorna, från artikeln till artikel, från utskuret råmaterial till färdig detalj. Genom en strukturerad processutveckling, där beprövade metoder har använts för att identifiera krav och generera utkast, har ett koncept skapats för en förenkling av produktionsdokumentationen. Det slutliga konceptet uppfyller kravet om enklare avrapportering genom en Quick Response (QR) kod, och ger en snabb överblick över artiklarna som skärs i lasermaskinen samtidigt genom att visa en bild på en färdig artikel på produktionskortet. QR-koden är kopplad till avrapportering i affärssystemet för varje workcenter, vilket är ett första steg mot digitalisering av orderkorten i produktionen.

This thesis is focused on collecting and analysing data from production of decorated plastic parts for Automotive. One of the aims is to describe actual situation of storing data and design new data model for this application.