Syfte: Syftet med studien är att genom en flerfallstudie kartlägga digitaliseringsgraden hos tillverkande små och medelstora företag (SMF) och undersöka huruvida det finns någon positiv korrelation mellan digitaliseringsgrad och lönsamhetsnyckeltal.  Metod: I studien användes en flerfallstudie på 17 tillverkande SMF i regionGävleborg. Data har samlats in genom en intervju och via databasen bisnisanalys. För att undersöka sambandet mellan digital förmåga och finansiell prestation används nyckeltalen EBIT, ROA, kassaflöde och omsättning per anställda som mått på finansiell prestation.  Resultat & slutsats: Enligt vår konceptuella modell ska storleksmässiga fördelningen och finansiella prestationen öka för varje nivå av digital förmåga. Den finansiella prestationen förbättras också om man befinner sig på en högre nivå inom modellen. Urvalsstorleken och antalet företag per nivå är begränsad och därav kan inga samband med säkerhet påvisas. Resultatet tillsammans med tidigare litteratur kan ge tillverkande SMF en indikation på att en högre grad av digital förmåga kan påverka ökad lönsamheten positivt. Examensarbetets bidrag: Praktiska bidraget är en modell för företag att enkelt göra en skattning av sin digitala mognad. Forskning som på ett trovärdigt sätt kan knyta digitalisering till finansiella resultat är sparsam därmed fyller studien lite av det identifierade forskningsgapet. Studien bekräftar tidigare litteratur och erbjuder ytterligare belägg för forskning som har undersökt samma fenomen i Sverige, Italien, Tyskland och Mexico. Förslag till fortsatt forskning: Förslag för framtida studier är att kartlägga den digitala förmågan kopplad mot processmognadsmodeller för tillverkande SMF. Forskning vi har kommit i kontakt belyser vikten av att den organisatoriska förändringen sker i symbios med implementationen av digitala system och verktyg. Genom att undersöka både digital mognad och processmognad bidrar man till det befintliga forskningsgapet samtidigt som man underlättar för företag vid implementering av ytterligare digitala processer i sin verksamhet. / Aim: The purpose of the study is to map the degree of digitalization for manufacturing SMEs through multiple case-studies and investigate whether there is any positive correlation between degree of digitalization and financial key performance indicators. Method: The study uses multiple case-studies on 17 small and medium-sized manufacturing companies in the region Gävleborg. Data have been collected through an interview and through the bisnisanalys database. To investigate the relationship between a company's digital ability and financial performance the key figures EBIT, ROA, cashflow and turnover per employee are used as measures of financial performance. Result & Conclusions: According to our conceptual model, the size distribution and financial performance must increase for each level of digital ability. Financial performance is also improved if you are at a higher level within the model. The sample size and the number of companies per level are limited and we can therefore not prove these connections with certainty. The results together with previous literature can give manufacturing SMEs an indication that a higher degree of digital readiness can have a positive effect on increasing profitability. Contribution of the thesis: Practical contribution is a model to easily make an estimate of a company's own digital maturity. Research that in a credible way can link digitization to financial results is sparse, thus the study fills a bit of the identified research gap. The study also confirms previous literature and offers additional evidence for research that has investigated the same phenomenon in Sweden, Italy, Germany and Mexico. Suggestions for future research: A proposal for future studies is to map the digital capability linked to process maturation for manufacturing SMEs. Research we have come in contact with during the study highlights the importance of organizational change taking place in symbiosis with implementation of digital systems. By examining both digital maturity and process maturity one contributes to the existing research gap while at the same time making it easier for companies to implement additional digital processes in their operations.

Maintenance management is a relevant issue in modern technical systems due to its financial, safety, and environmental implications. The need to rely on physical assets makes maintenance a necessary evil, which, on the other hand, allows achieving a high quality of end products, or services, and a safety level that is adequate for the regulatory requirements. The advent of the fourth industrial revolution offers meaningful opportunities to improve maintenance management; technologies such as Cyber-Physical Systems, the Internet of Things, and cloud computing enable realizing modern infrastructure to support decisions with advanced analytics. In this thesis, the optimization of maintenance policies is tackled in this renewed technological context. The research methods employed in this thesis include interviewing of subject experts, literature research, and numerical experiments. Mathematical modelling is used to model network effects in complex technical systems, and simulations are used to validate the proposed models and methodologies. The problem of maintenance policies comparison is addressed in one of the publications; using the proposed bi-objective analysis, an effective maintenance policy was identified. Maintenance of complex systems organized in a networked fashion is studied in another project, where maintenance costs and system performances are considered. The proposed model allowed to identify a set of non-dominated (in the Pareto sense) maintenance policies, and an efficient resolution procedure was developed. The possibility to use a digital twin to replicate a Cyber-Physical System for maintenance policies optimization is addressed in another publication. The main hurdles in realizing such a complex infrastructure are analyzed, and managerial implications are presented. Finally, following a qualitative research approach, the opportunities offered by additive manufacturing are identified and presented in a book chapter. The opportunities for both maintenance efficiency gains and new business models are identified and discussed.

Industry 4.0 is the trend towards automation and data exchange in manufacturing technologies and processes, which include cyber-physical systems (CPS), the Internet of Things (IoT), the Industrial Internet of Things (IIOT), cloud computing, cognitive computing, and artificial intelligence.  Industry 4.0 maturity is assessed by evaluating the degree of implementation of each transformation capability and, consequently, in each dimension. Maturity models are used as instruments to recognize and measure the maturity level of a company in a certain domain or a process related to a future goal. The content of each dimension can be derived from qualitative research methods, including bibliographic reviews, case studies analysis, focal groups, and other methodologies of idea generation and decision-making.  This project aims to perform an implementation status and maturity level assessment of Industry 4.0 in European Industries. The project covers an assessment of the level of readiness to accomplish the Industry 4.0 standards and requirements.

Yes / Information systems are critical for companies since they offer quick and easy access to complex and significant data in a structured manner to make informed and effective business decisions. Hence, the objective of this study is to conceptualize and implement an innovative information system in the case study organization. The study identified the requirements for Organizing Vision Theory (OVT) and developed architecture based on Organizational Information Processing Theory (OIPT). This architecture is designed and developed using the Industrial Internet of Things (IIoT) to support a self-organizing vision and enhanced information processing. The study’s contribution lies in developing and executing an integrative architecture of IIoT-driven information systems from the lenses of OVT and OIPT. Further, this study contributes by mapping OVT elements (such as transparency, continuity, and coherence) and OIPT elements (information processing needs and capabilities) to drive value and knowledge through a robust architecture of IIoT-driven information systems. The study also highlights the contribution of IIoT-based information systems to a new knowledge system, facilitating better decision-making by professionals.

This presentation is intended to inform about the enhancements to Creo Simulate 4.0 and the Roadmap for the future (5.0 +)

Várias empresas em todas as partes do mundo, estão iniciando o processo de migração para a Indústria 4.0. Isso requer uma mudança no modelo de gestão, na cultura e nos direcionadores das decisões organizacionais e tecnológicas. Este trabalho retrata a relevância que o tema vem adquirindo ao longo dos últimos anos e a necessidade de um entendimento comum sobre os Pilares da Indústria 4.0, visando contribuir para, no campo teórico, melhor análise dos impactos que este novo modelo está trazendo para as organizações e, no campo da prática, para auxiliar no planejamento da implantação das mudanças necessárias. Portanto, este trabalho tem por objetivo sistematizar os Pilares da Indústria 4.0 considerando artigos acadêmicos publicados nas bases Web Of Science e Scopus. A metodologia adotada para a condução da pesquisa foi a revisão bibliográfica sistemática apoiada pelo uso da ferramenta Start e como complemento, as entrevistas com profissionais que trabalham com Indústria 4.0 para entender se a visão desses convergem para os pilares encontrados nos artigos. Um total de 1104 papers foram identificados e revisados sistematicamente. O principal resultado obtido é uma matriz na qual são apresentados os pilares e as tecnologias da Indústria 4.0 subdivididos em internos e externos às empresas / Many companies in all parts of the world are starting the process of migration to Industry 4.0 also called Factory of the future. This requires a change in the model, in the culture, and in the direction of organizational and technological decisions. This article presents the relevance of the theme over the last years and the need for a common understanding on the Pillars of Industry 4.0, aiming to contribute, in the theoretical field, to a better analysis of the impacts that this new model is bringing to the organizations and in the field of practice to assist in planning the implementation of the necessary changes. Therefore, this article aims to systematize the Pillars of Industry 4.0 considering academic articles published in the Web of Science and Scopus databases. The methodology used to conduct the research was the systematic bibliographic review supported by the use of the Start tool and, as a complement, the interviews with professionals working with Industry 4.0 to understand if the vision of these converge to the pillars found in the articles. A total of 1104 papers were systematically identified and revised. Thirteen papers were used and two interviews were carried out. The main result obtained is a matrix in which the pillars and technologies of Industry 4.0 are subdivided into internal and external to the companies.

The objective of this thesis is to develop a maintenance approach that fulfills the requirements of Industry 4.0. It explores the role and importance of maintenance activities in today’s industry. Then, it develops the features and tasks required to be performed by maintenance to fulfill the demands of Industry 4.0. Finally, it develops a reference model to be used in designing maintenance system for Industry 4.0. To perform these studies, real data were collected and applied as well as a typical scenario was implemented. The results achieved in the papers of this thesis are 1) a mathematical representation and application of a model that identifies, analyses and prioritizes economic weakness in working areas related to production, 2) a model that analyses, identifies and prioritizes failures that impact the competitive advantages and profitability of companies, 3) characterization of a suitable maintenance technique for Industry 4.0 and 4) a reference model i.e. a framework, that could be utilized to develop a maintenance approach for Industry 4.0. The conclusion of this thesis confirms that maintenance has a significant impact on companies’ competitive advantages, other working areas and profitability. To achieve a suitable maintenance technique for Industry 4.0, this technique must be able to monitor, diagnose, prognosis, schedule, assist in execution and present the relevant information. In order to perform these tasks several features must be acquired, the most important features are to be: digitized, automated, intelligent, able to communicate with other systems for data gathering and monitoring, openness, detect deviation in the condition at an early stage, cost- effective, flexible for adding new CM techniques, provide accurate decisions and scalable. The developed framework could be used as a base to design a maintenance system for Industry 4.0. This study contributes to our understanding of the maintenance importance in today’s industry and how to develop a maintenance approach for Industry 4.0.

Submitted by JOSIANE SANTOS DE OLIVEIRA (josianeso) on 2018-08-08T12:18:37Z No. of bitstreams: 1 Leandro Jaskulskii_.pdf: 10180514 bytes, checksum: 5fe92aa54c270b84ce82c90e29b0433d (MD5) / Made available in DSpace on 2018-08-08T12:18:37Z (GMT). No. of bitstreams: 1 Leandro Jaskulskii_.pdf: 10180514 bytes, checksum: 5fe92aa54c270b84ce82c90e29b0433d (MD5) Previous issue date: 2018-04-20 / Nenhuma / Esta dissertação trata da aplicação dos elementos da Indústria 4.0, na realidade do setor industrial metalmecânico brasileiro de 2018. O conceito da Indústria 4.0 foi elaborado objetivando a melhoria de produtividade e da qualidade através da aplicação de recursos digitais, economicamente viáveis nos sistemas empresariais. O Brasil, que neste momento passa por um processo de desindustrialização, pode abordar esta nova realidade de duas formas: abrir mão desta nova tendência, de maneira passiva, devido a sua condição econômica e estrutural; ou, por outro lado, ativamente adaptar os recursos viáveis de maneira a coletar o melhor retorno sobre investimento da digitalização na indústria. A metodologia utilizada para realização do trabalho foi a Design Science Reseach. Na busca do equacionamento do problema de pesquisa, criou-se um método para realizar um diagnóstico da situação atual da empresa estudada, e formatar um plano de implementação dos elementos da Indústria 4.0 viáveis, que priorize os melhores retornos sobre investimento na condição situacional, levando-se em conta o atual ambiente interno e externo da fábrica estudada. Para construção da proposta inicial do método, versão M0, foi feito um amplo levantamento bibliográfico. Uma vez sugerido, o M0 foi ajustado utilizando-se de especialistas em um grupo focal, gerando o método a ser aplicado em uma empresa pertencente à indústria metalmecânica brasileira. Ao final da aplicação M0, foi elaborado um plano de implementação processual dos elementos da Indústria 4.0 adaptado a realidade da empresa em questão. Realizou-se então uma avaliação crítica desta aplicação, para medir a validade do Modelo e seus pontos de melhoria, visando enriquecer e gerar uma versão final intitulada de M1. / This master thesis presents the application of Industry 4.0 elements into 2018 reality of Brazilian metalworking industry. Industry 4.0 concept was created targeting productivity and quality improvements, through digital resources, economically feasible in corporate systems. Brazil, that is under a deindustrialization process, can face this new reality in two ways: given up of new tendency, being passive due to its economic and structural condition; or, by the other hand, adapting in an active way its feasible resources, to collect the digital best return on investments in the industry. The methodology applied was the Design Science Research. To answer the research problem, a diagnosis and implementation plan method were arranged, to apply viable Industry 4.0 elements, prioritizing the best return of investments of factual internal and external ambient of situated factory. To build up the M0 version method, it was made a wide bibliographic study. Once suggested, M0 was adjusted by specialists into a focal group generating the method to be applied into a Brazilian metalworking industry company. By the end of M0 application, a processual action plan was raised, shaped to the studied company atmosphere. Then, an evaluation analysis of this application was made, to validate the model and its improvement points, to generate a final version termed M1.

Orientador: Fernando Braz Tangerino Hernandez / Resumo: A água é um recurso essencial para a agricultura. Sua gestão passa por práticas que definem a quantidade e qualidade disponível para diversos usuários comuns, como indústria e consumo humano. O volume de água utilizado para a irrigação deve passar por um processo de otimização em seu uso, avaliando as variáveis necessárias para a maximização da produtividade e controle dos custos. O monitoramento ambiental e das condições climáticas possibilitam prever o comportamento do ciclo hidrológico e planejar o uso da água na irrigação conforme a necessidade das culturas e o estoque disponível no solo. O adequado monitoramento do armazenamento de água no solo se constitui em uma boa prática na irrigação que garante alta produtividade das lavouras e colabora com o uso consciente da água, além de proporcionar resultados financeiros positivos, tanto no aumento da produtividade, como na economia de energia usada no bombeamento da água, além da preservação ambiental e dos recursos hídricos. A expansão da agricultura irrigada é um importante vetor de crescimento social e econômico, podendo ser a locomotiva para um futuro sustentável de uma região. O objetivo deste trabalho é construir um sistema de aquisição de dados para medição da umidade do solo, disponibilizando uma base de dados histórica, a custos reduzidos, para que o usuário acompanhe a variação dos dados e estime a quantidade de água a ser utilizada na agricultura. / Abstract: Water is an essential resource for agriculture. Its management goes through good practices to determine the available amount for several users, such industry and human consumption. The water content used for irrigation should go through an optimization process, evaluating the necessary variables to maximize productivity and expenses control. The environment monitoring and climate conditions enable to forecast the hydrological period and the irrigation water consumption according to crop needs and available water inventory. The suitable monitoring of soil water content becomes an irrigation good practice which enables crops high productivity and collaborates to conscious water application, apart from affording positive financial yield, in productivity growth as well as in sparing energy on water pumping, besides conservation of the environment and water resources. The expansion of irrigated agriculture is an important vector of social and economic growth, and it can be the locomotive for a sustainable future of a region. The objective of this work is to build a data acquisition system for soil moisture measurement, providing a historical database, at reduced costs, so that the user follows the variation of the data and estimates the amount of water to be used in agriculture. / Mestre

The primary purpose of this study is to analyse the usage of information and communication technologies in the food industry. Nowadays, information and communication technologies are an essential element on the path to business success. As these technologies evolve, the environment in which businesses operate changes and companies have to adapt to this dynamic progression. The first part of the thesis is the literature review, which offers the necessary theoretical basis. It focuses on the very essence of information and communication technologies, historical development, information systems and their components. The thesis does not omit the currently used tools of information and communication technologies or elements of the Industry 4.0. The empirical part is based on data obtained from the questionnaires and offers analysis of food industry enterprises in connection with the usage of information and communication technologies. A number of statistical tools were used to analyse the data, the findings were further compared with similar researches dealing with the same or similar issues. At the very end of the thesis, the findings were evaluated and the key points were set out to help companies on the way to effective usage of information and communication technologies and competitiveness.