Submitted by Heverton Bacca Sanches (heverton.bacca@gmail.com) on 2018-10-04T18:51:13Z No. of bitstreams: 1 Dissertação Versão Final Heverton Bacca.pdf: 4605967 bytes, checksum: 71c4c3e4663ea6e70f2f69495a5c82b6 (MD5) / Approved for entry into archive by Lucilene Cordeiro da Silva Messias null (lubiblio@bauru.unesp.br) on 2018-10-04T19:08:06Z (GMT) No. of bitstreams: 1 sanches_hb_me_bauru.pdf: 4605967 bytes, checksum: 71c4c3e4663ea6e70f2f69495a5c82b6 (MD5) / Made available in DSpace on 2018-10-04T19:08:06Z (GMT). No. of bitstreams: 1 sanches_hb_me_bauru.pdf: 4605967 bytes, checksum: 71c4c3e4663ea6e70f2f69495a5c82b6 (MD5) Previous issue date: 2018-08-31 / O conceito da Indústria 4.0 está relacionado à evolução dos sistemas produtivos através da interconexão e integração total entre tecnologias de automação industrial e tecnologia da informação visando a obtenção de maior eficiência, qualidade e produtividade. Nesse contexto, uma tendência recente no ambiente industrial tem sido a utilização conjunta da Identificação por Rádio Frequência (RFID) e a da Internet das Coisas (IoT) na busca da melhoria dos seus processos de manufatura. O principal desafio é promover a integração entre essas tecnologias, de forma que os dados estejam disponíveis sob demanda e em tempo hábil para que as melhores decisões de produção sejam alcançadas. Este trabalho utilizou o RFID e a IoT para o desenvolvimento de uma solução para o monitoramento da produção e da eficiência de um sistema de manufatura flexível (FMS). O desenvolvimento do projeto consistiu em três etapas: aquisição dos dados RFID, processamento para obtenção dos parâmetros de produção e eficiência requeridos e disponibilização em nuvem para a IoT. Etiquetas RFID alocadas nas peças e nos pallets de movimentação permitiram o monitoramento da produção por meio da medição dos tempos de produção e transporte de cada peça produzida no FMS. O cálculo do indicador OEE (Overall Equipment Effectiveness), através dos índices de Performance, Qualidade e Disponibilidade, permitiu o monitoramento da eficiência das estações de trabalho e do FMS. A disponibilização dos dados da aplicação em nuvem de forma padronizada e acessível a outros sistemas foi realizada através da IoT, com a utilização do ScadaBR usando comunicação via serviço web SOAP. Experimentos foram realizados com a produção de peças diferentes (branca, vermelha e preta) e com quantidade de pallets diferentes. Análises estatísticas dos resultados de tempos de produção e de transporte permitiram quantificar erros ou anormalidades na operação do FMS. Resultados relativos ao indicador OEE permitiram o monitoramento e melhoria da eficiência do processo de manufatura. / The Industry 4.0 concept is related to the evolution of production systems through the interconnection and integration between industrial automation and information technology in order to obtain greater efficiency, quality and productivity. In this context, a recent trend in the industrial environment has been the joint use of Radio Frequency Identification (RFID) and Internet of Things (IoT) seeking for improvement in their manufacturing processes. The main challenge is to promote the integration between these technologies, so that the data is available on demand and in real time so that the best production decisions are achieved. This work used the RFID and IoT for the development of a solution for the monitoring of the production and the efficiency of a Flexible Manufacturing System (FMS). The development of the project consisted of three steps: acquisition of RFID data, processing to obtain the required production and efficiency parameters and availability of this data in the Cloud for the IoT. RFID tags allocated in the parts and conveyor pallets allowed production monitoring by measuring the production and transport times of each produced part in the FMS. The calculation of the OEE (Overall Equipment Effectiveness) indicator, through Performance, Quality and Availability indexes, enabled the monitoring of the efficiency of workstations and the FMS. The real-time availability of application data in the cloud in a standardized and accessible form to other systems was performed by IoT with the use of ScadaBR via web service SOAP communication. Experiments were carried out with the production of different parts (white, red and black) and number of pallets. Statistical analysis of the production and transport times allowed to quantify errors or anomalies in the operation of the FMS. Results for the OEE allowed monitoring and improving the efficiency of the manufacturing process.

Leading industrial nations invest to try to increase advanced manufacturing and innovation to catch up in a free-market world. One common vision for these investments has been Industry 4.0. In short can this topic be described as the internet moving into the industry. The concept is relatively new and has become one of the most discussed topics during the last couple of years in many manufacturing conferences. However, the industry is so far lacking a clear definition of the concept, and much of the focus is on laboratory experiments rather than industrial applications. The research that has been conducted so far has not involved the process industry, where this thesis will operate. The purpose of this study is to contribute to the understanding of how Industry 4.0 can be related to the pulp and paper industry by contextualizing the concept, and function as a “door-opener” for further research. Potentials, sustainability aspects and a concrete example has been used to comprehend this. The study has been designed with a qualitative approach through semi-structured interviews at the specific case company Stora Enso, Skoghall. As the concept of Industry 4.0 not yet has an explicit definition the start of the thesis was therefore to create a theoretical framework of the theory to relate to during the rest of the study. The findings of the research show that Industry 4.0 in the pulp and paper industry focuses on Availability through possibilities of prediction and response improvement. The concept should emphasis on keeping the production ongoing with fever break-downs and increased Quality of the products. Communication improvements will be essential in reaching the new industry level, with connecting the whole plant as a crucial part. The thesis contributes with a first insight to what Industry 4.0 will mean to the pulp and paper industry and how it contextualizes in the sector. / Framträdande industriella nationer investerar idag för att öka den avancerade tillverkningen och antalet innovationer för att hänga med i den fria marknaden. En gemensam vision för de här investeringarna är Industri 4.0. I korta drag kan det beskrivas som att internet flyttar in i industrin. Konceptet är relativt nytt och har kommit att bli ett av de mest diskuterade områdena under de senaste åren på tillverkningskonferenser. Industrin saknar dock en tydlig definition av konceptet, och mycket av fokus gällande ämnet hamnar på laborationsexperiment istället för praktiska applikationer. Vidare finns det ett behov av att titta på hur detta ser ut i processindustrin eftersom detta ännu inte granskats, vilket kommer vara området för uppsatsen. Syftet med denna studie är att bidra till förståelsen för hur Industri 4.0 kan relateras till pappersindustrin genom att kontextualisera konceptet och verkasom en ”dörr-öppnare” för vidare forskning. Möjligheter, hållbarhetsaspekter och ett konkret exempel har använts för att skapa förståelse för detta. Studien har designats med ett kvalitativt angreppssätt med semi-strukturerade intervjuer på det specifika fallet, Stora Enso Skoghall. Eftersom konceptet Industri 4.0 ännu saknar en tydlig definition började studien med att skapa ett teoretiskt ramverk för att kunna relatera till detta genom arbetet. Resultaten visar att Industri 4.0 i pappersindustrin fokuserar på Tillgänglighet genom ökade prediktions- och åtgärdsmöjligheter. Konceptet borde lägga vikt vid att hålla igång produktionen med färre avbrott och ökad Kvalitet på produkterna. Kommunikationsförbättringar kommer bli essentiella för att nå den nya nivån av industri, där integrationen av hela fabriken kommer spela en stor roll. Examensarbetet bidrar med en första inblick i vad Industri 4.0 kommer betyda för pappersindustrin och hur det kontextualiseras i branschen.

Manufacturing companies are currently going through exciting times. Technological developments follow each other up in high pace and many opportunities occur for companies to be smarter than their competitors. The disruptive notion of these developments is so big that people talk about a new, fourth, industrial revolution. This industrial revolution, that is being characterized and driven by seven drivers is called industry 4.0. The popularity of this industrial revolution is seemingly apparent everywhere and is being described, by some, as “manufacturing its next act”. Even though this sounds promising and applicable to every company, the practical consequences and feasibility are, most of the times, being overlooked. Especially a theoretical foundation on differences in feasibility between small and medium - sized enterprises (SMEs) and large firms is missing. In this thesis, we are going to take the reader through a journey that will help readers understand the positioning and perspective of firms regarding industry 4.0 and eventually the practical effects of industry 4.0 on business models of manufacturing firms will be presented. This research provides enough clarity on the topic to answer the follow research questions. This thesis aims to fill the gap in available research in which business model change is being linked to industry 4.0. Due to the novelty of industry 4.0 few researches on the practical effects are not yet fully explored in the literature. Business models, a more traditional area of research, has not yet touched upon the effects industry 4.0 has on the business models of company. Our purpose is to combine these two topics and provide both SMEs and large firms an overview on what the effects of industry 4.0 are in practice. Furthermore, the perspectives and positioning of our sample firms can provide clarity for potential implementers, since wide range of participants provide different insights on the topic and therefore give clarity on the practical use of industry 4.0. During this, the researchers, by converting observations and findings into theory, follow an inductive approach. The study uses a qualitative design and semi-structured interviews has been conducted to collect the data. Our sample firms consist of both SMEs and large firms and are all located within Europe. The researchers found that there are some key differences in the positivity on industry 4.0 between the academic and business world. Companies might be highly automated and have implemented some of the drivers of industry 4.0, but the definition itself is not popular. Where some of our sample firms are convinced industry 4.0 is the new way of working, most of them are using the technologies simply because it is the best in the market and helps them to follow their strategy. Industry 4.0 can be seen as an interesting tool for firms to become smarter and achieve better results, but not at all costs. Especially for SMEs implementing industry 4.0 should not be the sole goal of the company, since it is decided by many factors whether or not industry 4.0 will succeed in the company. In terms of business models, industry 4.0 causes many changes. The role of industry 4.0 can be seen as an enabler for change, rather than the reason to build a business model around. / Social science; Business Administratiom

Com a chegada da era da computação ubíqua, o número de dispositivos com poder computacional vêm crescendo de forma acelerada. A conexão desses dispositivos em uma rede de comunicação traz novas possibilidades e serve como base para o conceito chamado Internet das Coisas (Internet of Things - IoT). Uma das aplicações desse conceito é no domínio industrial e está impulsionando uma nova revolução industrial, a chamada Indústria 4.0. Esta pesquisa apresenta uma abordagem de integração de componentes de forma automatizada, no contexto da Indústria 4.0, utilizando ontologias para representar os elementos do sistema e um middleware IoT para servir de meio de integração. Essa abordagem utiliza conceitos propostos em trabalhos relacionados, com características inovadoras na criação de sistemas IoT. Dentre estas está a integração automatizada a partir de modelos semânticos, que possibilita que usuários modelem sistemas em alto nível. A partir desse modelo, as interfaces de comunicação são criadas automaticamente, trazendo uma garantia de consistência sintática nas chamadas de métodos ou funções. Além disso, a pesquisa proposta traz a possibilidade de usar esse mesmo modelo semântico para apresentar as informações ao usuário final. Como resultados deste trabalho podem ser ressaltados o desenvolvimento de uma ontologia para modelar esses elementos industriais e também o de uma extensão para um middleware IoT a fim de poder-se trabalhar com esses modelos de forma automatizada. / With the advent of the ubiquitous computing era, the number of devices with computing power is growing rapidly. The connection of these devices onto a communication network brings new possibilities and serves as the basis for the concept called the Internet of Things (IoT). One of the applications of this concept is in the industrial domain where it is driving a new industrial revolution, usually designated as “Industry 4.0”. This research study presents a automated integration approach in the context of Industry 4.0, using ontologies to represent elements of the system and an IoT middleware to provide a means for its integration. This approach uses concepts proposed in related works with innovative features regarding the creation of IoT systems. Among these features, an automated integration based on semantic models is proposed, which enables users to model their systems at a high level. From this model, communication interfaces are created automatically, bringing a guarantee of syntactic consistency in calling methods or functions. Another advantage that this work brings is the possibility of using this same semantic model to present information to the end user. As result of this work, an ontology was developed to model industrial elements, and an extension for an IoT middleware was developed to enable to work with these models.

O termo Indústria 4.0 tornou-se, nos últimos anos, frequente nas discussões relativas à indústria. Sua origem é o programa alemão Industrie 4.0, que buscou fortalecer a competitividade do parque industrial do país aplicando novas tecnologias da informação e comunicação, à manufatura. Iniciativas semelhantes também foram criadas em outros países, como a americana Industrial Internet ofThings. No Brasil, o Banco Nacional de Desenvolvimento Econômico e Social (BNDES) e a Empresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) conduzem programas de incentivo à pesquisa, sob o nome de Manufatura Avançada. Conceitos como cadeias de suprimentos integradas e Cyber-PhysicalProduction Systems (CPPS), aliados a aplicações de tecnologias como Internet ofThings e inteligência artificial, são comuns a todas essas iniciativas, com expectativas de grandes ganhos em flexibilidade da produção, em qualidade e em eficiência. A relação entre adoção tecnológica e impactos em negócio, porém, é apontada como indireta e complexa, pelos pesquisadores de gestão de sistemas de informação e gestão de operações. A literatura da gestão de operações aponta que, para o esperado impacto em desempenho, as tecnologias adotadas devem estar alinhadas com as prioridades competitivas e com o modelo de produção da companhia. Dessa forma, não são viáveis recomendações genéricas de adoção de sistemas que não levem em conta o segmento de atuação e o mercado atendido pela empresa. Outro fator importante é a aplicação de tecnologias que tenham surgido fora do ambiente industrial e não sejam familiares às equipes de tecnologia desse ambiente. Artefatos tecnológicos, quanto utilizados em diferentes contextos, apresentam capacidades diferentes. Da sociologia da tecnologia, o termo affordance determina a possibilidade de ação de um agente quando em contato com um determinado objeto. Uma ferramenta tecnológica pode permitir a seu usuário uma gama de diferentes ações, dependentes de seus objetivos e conhecimentos. Uma régua de cálculo, por exemplo, permite a realização de uma série de operações matemáticas a um utilizador que conheça seus mecanismos, mas tem pouca utilidade a usuários sem conhecimentos prévios sobre seu funcionamento. No contexto da manufatura avançada, a percepção dos affordances das novas tecnologias, para modelar suas aplicações, exigirá novos conhecimentos, hoje detidos por diferentes equipes da companhia. Com base nas teorias de affordances e de estratégia de operações este trabalho utilizou um framework como ponto inicial para a realização de estudos de caso, em cinco projetos, em três empresas brasileiras de grande porte. Para que o impacto de diferentes estratégias de manufatura nas tecnologias adotadas pudesse ser estudado, foram selecionadas empresas de segmentos distintos, representativos do parque brasileiro: açúcar e álcool, montagem de eletrônicos e bebidas. A disponibilidade de amplo conhecimento tecnológico se mostrou uma preocupação central dos gestores que buscam a implantação de projetos de Manufatura Avançada; sua ausência é muitas vezes vista como uma barreira para a adoção de recursos como sistemas com inteligência artificial. Nos casos estudados, alguns dos projetos só foram viabilizados com a formação de equipes muldisciplinares, capazes de lidar com combinações inovadoras de tecnologias de sistemas de informação e automação industrial ou agrícola. Esse resultado é condizente com a teoria de affordances que posiciona o conhecimento do usuário como central para a percepção das oportunidades de adoção de novas tecnologias. deaffordances. Empresas com diferentes prioridades estratégicas decidiram pela adoção de sistemas com diferentes características, demostrando que a Manufatura Avançada não pode ser vista como um conjunto único e rígido de abordagens. Projetos em atividades com maior pressão por redução de custos apresentaram grande ênfase na integração vertical, ao passo que a procura por maior flexibilidade leva à busca de recursos para integração horizontal. Novas tecnologias se mostraram capazes, ou demonstraram possuir affordances, não só para habilitar novas funcionalidades, mas para proporcionar recursos a custos expressivamente menores que suas predecessoras. Foram observados exemplos onde tecnologias de menor custo permitiram a expansão de projetos implantados parcialmente no passado ou, ainda, a implantação de projetos em áreas com características que os tornavam anteriormente financeiramente inviáveis. Em razão desses resultados, o framework proposto sofreu revisão passando a incluir a adoção de novas tecnologias por questões relacionadas a custo e à formação de equipes muldisciplinares. Esse novo framework é apresentado como a contribuição final deste trabalho, que se espera possa servir der base para futuras investigações sobre o tema. / Industry 4.0 has become a very common term in recent discussions about the industry. It was originated in the Industrie 4.0 German program, which aims to strengthen their national industrial park competitiveness using new information and communication technologies to the manufacturing. Similar initiatives were created in different countries, such as the American Industrial Internet of Things. The Banco Nacional de Desenvolvimento Econômico e Social (BNDES) andtheEmpresa Brasileira de Pesquisa e Inovação Industrial (EMBRAPII) are conducting in Braziltechnologyresearch incentive program, withthenameManufatura Avançada (Smart Manufacturing). In all these initiatives, concepts like integrated supply chains and Cyber-Physical Production Systems (CPPS), can be found with the same expectations of great improvements in productions flexibility, quality, and efficiency. The information systems management and operations management researchers say that the relationship between technology adoption and business impacts indirect and complex. The operations management literature shows that the adopted technologies have to be aligned with the competitive priorities and the company production model to generate the expected impact. Thereby generic system adoption recommendations are not possible, only taking account the company segment and its attended market. The application of technologies that have emerged outside the industrial environment and are not familiar with the technology teams of that environment is another important factor. If the utilization context of the technological artifact changes, their capabilities became different. The term affordance, in the technology sociology, is an agent action possibility when in when in contact with a given object. A technological tool can allow its users a range of different actions, depending on their goals and knowledge. A slide rule, for example, allows a series of mathematical operations to be performed by a user who knows their mechanisms, but has little use for users without prior knowledge of their operation. In the ManufaturaAvançada context, the technologies affordance perception, that shapes their applications, will require new knowledge, present in different departments today. Based on the affordance and operations strategy theories, this work applies a framework as a starting point for case studies conduction in five projects in three large Brazilian companies. In order to study the impact of different manufacturing strategies on technology adoption, were selected companies from different market segments that represent well the Brazilian industry: sugar and ethanol, electronics assembly, and beverages. The availability of extensive technological knowledge has been proven to be a central concern of managers seeking the implementation of Advanced Manufacturing projects. Its absence is often seen as a barrier to the adoption of features such as artificial intelligence systems. In the studied cases, some of the projects were only made possible by the formation of multidisciplinary teams capable of dealing with innovative combinations of information systems technologies and industrial or agricultural automation. This result is consistent with the theory of affordances where the user knowledge is central to the perception of the opportunities of adoption of new technologies. Companies with different strategic priorities decided to adopt systems with different characteristics, demonstrating that ManufaturaAvançadacan not be seen as a single and rigid set of approaches. Projects, in high pressure for cost reduction activities, have a great emphasis on vertical integration, while searching for greater flexibility leads to horizontal integration. New technologies have proved capable, or demonstrated to have affordances, not only to enable new features, but to provide features at significantly lower costs than their predecessors. Examples were observed where lower cost technologies allowed the expansion of partially implemented projects or the implementation of projects in areas with characteristics that made them previously financially infeasible Due to these results, the proposed framework underwent revision, including the adoption of new technologies due to costs and the formation of multidisciplinary teams. This new framework is presented as the final contribution of this work, which is expected to serve as the basis for future research on the subject.

Submitted by Jessica Andrade (jessicastefanysa@gmail.com) on 2018-06-25T17:14:22Z No. of bitstreams: 1 THIAGO.pdf: 5801437 bytes, checksum: a7a50de6e0e6daba9cb435c749323658 (MD5) / Rejected by Margareth Ferreira Pinto (margarethfpinto@hotmail.com), reason: Falta o título em inglês. Palavra escrita errada na citação. on 2018-06-26T14:04:10Z (GMT) / Submitted by Jessica Andrade (jessicastefanysa@gmail.com) on 2018-06-28T17:07:32Z No. of bitstreams: 1 THIAGO.pdf: 5801437 bytes, checksum: a7a50de6e0e6daba9cb435c749323658 (MD5) / Approved for entry into archive by Margareth Ferreira Pinto (margarethfpinto@hotmail.com) on 2018-07-16T21:00:46Z (GMT) No. of bitstreams: 1 THIAGO.pdf: 5801437 bytes, checksum: a7a50de6e0e6daba9cb435c749323658 (MD5) / Made available in DSpace on 2018-07-16T21:00:46Z (GMT). No. of bitstreams: 1 THIAGO.pdf: 5801437 bytes, checksum: a7a50de6e0e6daba9cb435c749323658 (MD5) Previous issue date: 2017 / Na busca por mais agilidade, qualidade e baixos custos de produc ̧ao as industrias enfrentam inumeras dificuldades para conseguir lidar com imensas quantidades de informações. Para auxiliar neste problema, sistemas de visão de máquina tem sido cada vez mais utilizados, abrangendo diversas etapas de um processo industrial, principalmenteno conceito apresentado pela Industria 4.0. Neste trabalho, são propostos tres métodos de medição baseada em visão, chamados de Sensores Visuais, que possibilitam a extração das variaveis de processo: nível, temperatura e presença/estado. Tais metodos visam obter informações digitais por meio da analise das cores presentes em instrumentos indicadores e outros dispositivos sem capacidade de comunicação. E utilizado um framework de visao computacional, desenvolvido no C3 da FURG, para fornecer as camadas de aquisição, comunicação e uma interface para visualização e configuração dos metodos. O sistema baseado em OpenCV, processa as imagens capturadas por uma ou mais cameras em tempo real e envia os resultados (medições) a outros dispositivos de automação via protocolo de comunicacão Modbus. Para avaliar os Sensores Visuais, foram utilizados metodos da area da metrologia a fim de obter seus erros e incertezas de medic ̧ao. Tambem foram realizados testes em uma planta didatica, onde todas as medições utilizadas no CLP e SCADA foram extraídas atraves de uma camera conectada ao sistema proposto. Os experimentos demonstraram resultados promissores. / In the search for more agility, quality and low production costs industries face numerous difficulties in handling huge amounts of information. To assist in this problem, machine vision systems have been increasingly used, encompassing several stages of an industrial process, mainly in the concept presented by Industry 4.0. In this work, three methods of vision-based measurement, called Visual Sensors, are proposed, which allow the extraction of process variables: level, temperature and presence/state. These methods are aimed at obtaining digital information through the analysis of the colors present in indicating instruments and other devices without communication capability. A computational vision framework, developed in FURG’s C3, is used to provide the acquisition, communication and interface layers for visualization and configuration of the methods. The OpenCV-based system processes images captured by one or more cameras in real time and sends the results (measurements) to other automation devices via Modbus communication protocol. In order to evaluate the Visual Sensors, metrology methods were used to obtain their measurement errors and uncertainties. Tests were also carried out in a didactic plant, where all the measurements used in CLP and SCADA were extracted through a camera connected to the proposed system. The experiments showed promising results.

Abstract : Manufacturing companies in developed countries face a digital transformation that is meant to improve their productivity, but also produces a large volume of data. This data will go to waste if it is not valorized by using it to gain actionable insights, for example with business intelligence and analytics. This master’s thesis presents a systematic literature review and a multiple case-study on the subject of Business Intelligence in manufacturing companies. The first article, “Business Intelligence in Industry 4.0: Research opportunities”, present a literature review. Results show a lack of studies on the impacts of business intelligence activities on manufacturing small and medium enterprises. The strategic impacts should be studied, since they are often neglected in favor of the operational impacts such as quality improvement and operating costs reductions. The second article, “Business intelligence value creation: A multiple case study in manufacturing SMEs”, presents an exploration of the factors influencing strategic and operational business values of business intelligence. Results show the limit of the traditional models based on the Resource-Based View of the firm, which overlooks organizational factors that might be more important in smaller organizations. Contingency factors, such as organisational learning, leadership style, and the role of the owner, should be included when studying small and medium enterprises, as in these smaller organizations the lack of resources and the simpler structure affect business value of business intelligence and analytics systems differently than in larger firms. There is an interesting potential for the model suggested in this master’s thesis to understand the factors linked to business value creation in smaller organization, which should be empirically tested with a larger and more diverse sample in a future study. / Ce mémoire présente les travaux réalisés dans le cadre de ma maîtrise en Stratégie de l’intelligence d’affaires, de l’École de Gestion de l’Université de Sherbrooke. Il consiste en deux articles. Le premier est une revue de littérature systématique ayant été soumise et acceptées à la 51e édition de Hawaii International Conference on System Sciences, qui a eu lieu du 3 au 6 janvier 2018. Il est présenté intégralement au chapitre deux. Le second article, présenté dans sa version longue au chapitre trois, a été soumis à la 7e édition de International Conference on Information Systems, Logistics and Supply Chain qui aura lieu du 8 au 10 juillet 2018. Les notices d’acceptation seront envoyées après la date de dépôt de ce mémoire. Toutes les preuves de soumissions sont présentées dans les annexes de ce mémoire. Les articles ont tous été rédigé par moi, Fanny-Ève Bordeleau, qui a également réalisé toutes les prises de données et les analyses, assistée de mes co-directeurs, les professeurs Elaine Mosconi et Luis Antonio De Santa-Eulalia.

The diploma thesis called Analysis of trends in companies with emphasis of Industry 4.0 meets with sphere of trend of Industry 4.0. This work provides the basic theoretical know-ledge about conpcet of Industry 4.0. The theoretical part of this work also includes techno-logical and social aspects of fourth industry revolution. In the practical part of the work is performed analysis of readiness czech companies for trend of Industry 4.0. On the base of results of analysis concluding recommendations are determined.

This master thesis maps contemporary situation linked to the Industry 4.0 topic and sets it into connections and define its relations. The first part is dedicated to describing the beginning and nature of Industry 4.0. Next part shows main national initiatives of several countries. In the other part of thesis there is specific description of terms connected to this concept. Next part is about evaluating benefits, risks and restrictions. After that there is description of present use on market. The last part sums some predictions about Industry 4.0.

The aim of the master thesis is to emphasize the importance of process alignment in The Fourth Industrial Revolution. By mapping of current descriptive maturity models and their application within digitalization, the thesis offers a new process maturity model for the phenomenon referred to as Industry 4.0 (i4.0). The model is based on the theoretical form of previous models, as well as on implementation of newly introduced trends. The contribution of the thesis rests upon the specific solution. The suggested Process Improvement Scheme presents applicable way for improvement of digital process preparedness in project-oriented service organizations and determines main value factors which lead to higher quality of employee processes. In the same time, the master thesis suggest a new utilization of i4.0 principles focused predominantly on manufacturing processes, and therefore includes areas which will need to be addressed in the near future for smooth process transition into i4.0 era.