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High-temperature Co-electrolysis of H2O and CO2 in a solid-oxide electrolyser (Co-SOE) for syngas production is a high-efficiency renewable electricity conversion and storage method part of the Power-to-X technologies. Syngas, a mixture of H2, CO and CO2, is a critical building block to make several chemical and synthesis fuels. The thesis aimed to model the Co-electrolysis process in a steady-state process modelling tool called Aspen Plus. The model was designed at thermoneutral mode and four cases with electrolysis temperatures of 700 °C, 750 °C, 800 °C and 850°C. The results from the model were used to perform an economic assessment and check the feasibility of Co-SOE. The analysis included calculation of Net Present Value (NPV), Internal Rate of Return (IRR) and the Levelised cost of Syngas (LCOS). The LCOS from Co-SOE was compared to the benchmark technology of syngas production in a Reverse Water Gas Shift (RWGS) reactor. The H2 feed to the RWGS reactor was assumed to be obtained from a Proton Exchange Membrane Electrolyser(PEME). A sensitivity analysis was performed to check the effect of electricity price, electrolyser stack price, electrolyser lifetime, CO2 feed price, by-product O2 revenue and discount rate on the LCOS. The LCOS was calculated to be 0.697, 0.727, 0.752 and 0.783 €/kg at 700 °C, 750 °C, 800 °C and 850 °C, respectively, increased with temperature due to increased electricity consumption at thermoneutral mode. The average LCOS from Co-SOE was 18.5% cheaper than the benchmark technology due to the high investment in the PEME and low conversion efficiency of the RWGS process. There was a trade-off between LCOS and system efficiency due to the effect of internal methanation occurring on the cathode side of the SOE. 750 °C was found to be the optimum design temperature to minimise the LCOS and maximise the efficiency. LCOS was most sensitive to electricity price, followed by O2 revenue and discount rate, while other parameters were less significant. The thesis also discussed key challenges to overcome in the future development of the Co-SOE technology. Co-SOE was found to be a promising technology for green syngas production. However, challenges concerning low stack lifetime, high capital investment and high cost of electricity have yet to be overcome to demonstrate it at a commercial scale.

There is a growing need to study factors that affect user comprehension of Business Process Management (BPM) information portrayed by graphical process models (GPMs). For example, deployment of BPM Systems, unique types of enterprise-level information systems, has dramatically increased in recent years. This increase is primarily because BPM Systems give a variety of managers across an enterprise the ability to directly design, configure, enact, monitor, diagnose, and control business processes that other types of enterprise systems do not. This is possible because BPM Systems uniquely rely on GPMs derived from formal graph theory. Besides controlling the business processes, these GPMs, such as metagraphs and Unified Modeling Language (UML) diagrams, portray business process information (BPI) and prompt BPM managers to apply their training and expertise to deal with BPM situations. As a result, GPMs are the primary information artifacts for decision-making and communication among different, often geographically dispersed stakeholders. Therefore, user comprehension of these unique GPMs is critical to the efficient and effective development, deployment, and utilization of BPM Systems. User comprehension outcomes are jointly affected by the (1) BPM cognitive resources available to each manager (including the type of GPM, BPI, and user educational training and experience), and (2) cognitive differences between individual BPM managers (such as their mental workload, cognitive styles and cognitive abilities). Although research has studied GPMs in various contexts, there is apparently no empirical research investigating GPM user comprehension in the context of BPM Systems. This research makes an important contribution by addressing this gap in the literature. Statement of the Objective: The purpose of this research is to empirically study how BPM cognitive resources and cognitive differences between individuals affect outcomes of GPM user comprehension. This research centered on the following objectives: A. Investigate whether more positive user comprehension outcomes are produced by novice users if a single GPM technique is used to portray different types of BPI (e.g., as with metagraphs) or if different GPM techniques are used to portray different types of BPI (e.g., as with UML diagrams). B. Investigate whether one type of BPI is more easily comprehended and interpreted by novice users irrespective of the type of GPM or the type of educational training of the user. C. Investigate whether users with a specific type of user educational training can more easily comprehend and interpret BPM information irrespective of the type of GPM or the type of BPI. D. Evaluate influences of individual cognitive differences (i.e., mental workload, cognitive styles, and cognitive abilities) on outcomes of user comprehension. In order to accomplish these objectives, this study: (a) defined a theoretical framework conceptualizing user comprehension outcomes in terms of the interaction between cognitive resources external to the user and individual differences affecting how users cognitively process BPI, (b) empirically tested an operational research model of GPM user comprehension that is based on the theoretical framework, and (c) interpreted the experimental results in the context of related literatures. Description of Research Methods: This study empirically tested relationships between several variables representing BPM cognitive resources and individual cognitive differences hypothesized as influencing the outcomes of user comprehension. A laboratory experiment, involving 87 upper-level undergraduate students from two universities, analyzed relationships between participant comprehension of two types of GPMs (i.e., metagraphs and UML diagrams) used to portray three types of BPI (i.e., task-centric, resource-centric, and information-centric BPI) by novice GPM users possessing different educational training (i.e., industrial engineering, business management, and computer science training). Dependent variables included assessments of task accuracy, task timeliness, subjective mental workload, and self-efficacy. Covariate effects were also analyzed for two types of participant cognitive abilities (i.e., general cognitive ability (GCA) and attentional abilities) and two types of participant cognitive styles (extroversion-introversion and sensing-intuitive). Multivariate analysis techniques were used to analyze and interpret the data. Discussion of Results: The type of GPM and participants' GCA produced significant effects on the dependent variables in this study. For example, metagraph users produced significantly more desirable results than UML users across all dependent variables, contrary to what was hypothesized. However, if only the BPM cognitive resources (i.e., GPM Type, BPM Type, and the Type of Participant Education) were studied in relation to user comprehension outcomes, spurious conclusions would have been reached. When individual cognitive differences were included in the research model and analyses, results showed participants with higher GCA produced significantly more positive user comprehension outcomes compared to participants with lower GCAs. Also, many of the impacts of differences in the types of BPI and the types of UET were moderated by the differences in participants' GCA and attentional abilities. In addition, the relationship between subjective mental workload and task performance (i.e., accuracy and timeliness) suggest a possible GPM cognitive "profile" for user comprehension tasks in a BPM Systems context. These results have important implications for future research and practice in several bodies of knowledge, including GPM user comprehension in management systems engineering, BPM modeling, BPM Systems, HCI, and cognitive ergonomics literature. / Ph. D.

International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California / More and more companies and organizations are recognizing the benefits to be gained by achieving ISO 9000 registration. An effort is underway at JPL to become ISO 9001 registered. To facilitate this activity, the entire laboratory has been divided into processes, each one having a designated process owner. This paper concentrates more specifically on one of these processes, namely, the Packaging and Fabrication of Electronic Hardware (PAFEH), and the effort being undertaken to ensure that this process will successfully pass registration. A comprehensive approach is being utilized by the Electronic Packaging and Fabrication Section to bring this about.

<p>The study was conducted in Jönköping County Chamber of fibrillation and is about change and improvement of process modeling technology. The process for treating patients with fibrillation is in the need to evolve and improve. In order to develop the care they needed a current state description which usually is made with the traditional process modeling tool.</p><p>Many scientists and health professionals is in the opinion that this technology gives a too rigid image to describe the care processes. It also does not sufficiently take into account the human aspects. This reasoning suggests that the process modeling technology in healthcare is in the need to develop multiple perspectives. We have therefore studied Morgan’s organizational metaphors to find such perspectives. These have provided an input to the two approaches by which, if they are used for process modeling, could respond to the health care needs.</p><p>The purpose of this paper is to examine the modeling of flows in health care, if based on Morgan's organizational metaphors, can describe and convey new approaches to the care process. By this we hope to develop a new technique to model health care processes, which in addition will contribute to make visible improvement in the organization. We have conducted a qualitative study where we from Gareth Morgan's organizational metaphors have created three models to be equal for each metaphor: Machine, Organism and the Brain.</p><p>Based on a specific patient in the fibrillation process, we created different stories of the events. The stories visualized the characteristics important to describe in each model. We later on made a symbol corresponding list of these important components. The symbols were merged which then created the final model.</p><p>To collect qualitative empirical data, we then tested the models in the organization that are in the process, Jönköping County Council. We held a workshop because we felt that this gave the best room for participants to have open discussions about how they perceive the models. They also pointed out the strengths and weaknesses. The participants consisted of various health care actors with mixed skills. One in every discipline; physicians, care developers, nurses and medical secretaries.</p><p>The result was three models. One describes the process according to the machine metaphor, another to the organism metaphor and the third according to the brain metaphor. These were presented at the workshop and resulted in discussions and reflections which mirrored the intended metaphor. The discussions also led to that various problems and solutions related to the different metaphors became visible.</p><p>All models have achieved its objective to produce the picture of organizational complexity in health care. We can therefore conclude that they also made a contribution, not only for those who work with the modeling tool, but also to those that will receive them. Least suited for modeling the process of care enforcement is the brain model. But it does fill a purpose as a tool for modeling the learning process in health care.</p><p>This study demonstrates the importance of developing technology for process modeling in health care. The new approaches reflected on new problems and proposals for standardizations. Standardization is not only in need to focus on internal communication structure but also on the placement of functions and knowledge.</p> / <p>Studien genomfördes på Jönköpings läns Landstings avdelning för hjärtflimmer och hand-lar om förändring och förbättring av processmodelleringstekniken. Processen för att be-handla patienter med förmaksflimmer var i behov av att utvecklas och förbättras. För att utveckla vården behövde de en nulägesbeskrivning som vanligtvis görs med ett traditionellt processmodelleringsverktyg. Många forskare och sjukvårdare anser att denna teknik ger en alltför stel bild för att beskri-va vårdprocesser. Den tar heller inte tillräcklig hänsyn till de mänskliga aspekterna. Detta resonemang tyder på att processmodelleringstekniken i vården är i behov av att utveckla flera olika perspektiv. Vi har därför studerat Morgans organisationsmetaforer för att hitta sådana perspektiv. Dessa har bidragit till två modelleringsmetoder som, om de används för processmodellering, skulle kunna svara på det hälso- och sjukvården behöver.Syftet med uppsatsen är att undersöka om modelleringar av vårdprocesser, baserade på Morgans organisationsmetaforer, kan beskriva och förmedla nya synsätt. Genom detta hoppas vi kunna utveckla en ny teknik för att modellera processer i hälsovård, vilken dess-utom kan bidra till att synliggöra förbättringar i organisationen. Vi har genomfört en kvali-tativ studie där vi från Gareth Morgans organisationsmetaforer har skapat tre modeller som speglar avsedd metafor: Maskin, Organism och Hjärna.Baserat på en patient i flimmerprocessen har vi skapat olika berättelser om händelserna. Berättelserna synliggjorde komponenter som var viktiga för att beskriva varje modell. Efter det gjordes en symbolförteckning motsvarande dessa viktiga komponenter. Symbolerna sammanfogades och skapade den slutliga modellen. För att samla in kvalitativa empiriska data, testade vi sedan modellerna i den organisation som de beskrev, Jönköpings läns lands-ting. Vi höll en workshop då vi ansåg att det gav bäst utrymme för deltagarna att föra öpp-na diskussioner om hur de uppfattar modellerna. De påpekade också starka och svaga sidor hos dem. Deltagarna bestod av olika aktörer inom hälso- och sjukvård med blandad kom-petens. En i varje disciplin, läkare, vårdutvecklare, sjuksköterska och läkarsekreterare.Resultatet blev slutligen tre modeller. En beskrev processen enligt maskinmetaforen, en annan enligt organismmetaforen och den tredje enligt hjärnmetaforen. Dessa presenterades vid seminariet och resulterade i diskussioner och reflektioner som speglade avsedd metafor. Diskussionerna ledde också till att olika problem och lösningar i förhållande till olika meta-forer blev synliga.Alla modeller har uppnått målet att producera en bild av den organisatoriska komplexiteten i vården. Vi kan alltså dra slutsatsen att de också ger ett bidrag, inte bara för dem som arbe-tar med modelleringsverktyg, utan även för dem som ska ta emot dem. Minst lämpad för modellering av just vårdande var hjärnmodellen. Dock fyller den ett syfte som ett verktyg för modellering av inlärningsprocessen inom sjukvården.Denna studie visar på vikten av att utveckla teknik för processmodellering inom sjukvår-den. De nya modellerna pekar på nya problem och förslag till standardise-ring. Standardisering går från att fokusera på den interna kommunikationen struktur till placeringen av funktioner och kunskap.Studien genomfördes på Jönköpings läns Landstings avdelning för hjärtflimmer och hand-lar om förändring och förbättring av processmodelleringstekniken. Processen för att be-handla patienter med förmaksflimmer var i behov av att utvecklas och förbättras. För att utveckla vården behövde de en nulägesbeskrivning som vanligtvis görs med ett traditionellt processmodelleringsverktyg. Många forskare och sjukvårdare anser att denna teknik ger en alltför stel bild för att beskri-va vårdprocesser. Den tar heller inte tillräcklig hänsyn till de mänskliga aspekterna. Detta resonemang tyder på att processmodelleringstekniken i vården är i behov av att utveckla flera olika perspektiv. Vi har därför studerat Morgans organisationsmetaforer för att hitta sådana perspektiv. Dessa har bidragit till två modelleringsmetoder som, om de används för processmodellering, skulle kunna svara på det hälso- och sjukvården behöver.Syftet med uppsatsen är att undersöka om modelleringar av vårdprocesser, baserade på Morgans organisationsmetaforer, kan beskriva och förmedla nya synsätt. Genom detta hoppas vi kunna utveckla en ny teknik för att modellera processer i hälsovård, vilken dess-utom kan bidra till att synliggöra förbättringar i organisationen. Vi har genomfört en kvali-tativ studie där vi från Gareth Morgans organisationsmetaforer har skapat tre modeller som speglar avsedd metafor: Maskin, Organism och Hjärna.Baserat på en patient i flimmerprocessen har vi skapat olika berättelser om händelserna. Berättelserna synliggjorde komponenter som var viktiga för att beskriva varje modell. Efter det gjordes en symbolförteckning motsvarande dessa viktiga komponenter. Symbolerna sammanfogades och skapade den slutliga modellen. För att samla in kvalitativa empiriska data, testade vi sedan modellerna i den organisation som de beskrev, Jönköpings läns lands-ting. Vi höll en workshop då vi ansåg att det gav bäst utrymme för deltagarna att föra öpp-na diskussioner om hur de uppfattar modellerna. De påpekade också starka och svaga sidor hos dem. Deltagarna bestod av olika aktörer inom hälso- och sjukvård med blandad kom-petens. En i varje disciplin, läkare, vårdutvecklare, sjuksköterska och läkarsekreterare.Resultatet blev slutligen tre modeller. En beskrev processen enligt maskinmetaforen, en annan enligt organismmetaforen och den tredje enligt hjärnmetaforen. Dessa presenterades vid seminariet och resulterade i diskussioner och reflektioner som speglade avsedd metafor. Diskussionerna ledde också till att olika problem och lösningar i förhållande till olika meta-forer blev synliga.Alla modeller har uppnått målet att producera en bild av den organisatoriska komplexiteten i vården. Vi kan alltså dra slutsatsen att de också ger ett bidrag, inte bara för dem som arbe-tar med modelleringsverktyg, utan även för dem som ska ta emot dem. Minst lämpad för modellering av just vårdande var hjärnmodellen. Dock fyller den ett syfte som ett verktyg för modellering av inlärningsprocessen inom sjukvården.Denna studie visar på vikten av att utveckla teknik för processmodellering inom sjukvår-den. De nya modellerna pekar på nya problem och förslag till standardise-ring. Standardisering går från att fokusera på den interna kommunikationen struktur till placeringen av funktioner och kunskap.</p>

A definição de zonas de manejo no contexto da agricultura de precisão requer muitas etapas, desde a coleta de dados até a avaliação dos mapas. No entanto, existe diferente número de etapas, ferramentas, métodos, algoritmos e softwares usados, apresentadas pelos pesquisadores. Neste contexto, o objetivo do trabalho é propor um modelo de referência para o processo de definição de zonas de manejo em agricultura de precisão. O modelo de referência proposto para o processo de está dividido em algumas etapas observadas na maioria dos trabalhos analisados. A Business Process Model and Notation (BPMN) foi utilizada para formalizar o modelo de referência composto dos cinco subprocessos: coleta de dados, seleção de atributos, filtragem de dados, agrupamento e avaliação dos mapas. Adicionalmente são apresentadas as atividades, os fluxos e desvios de cada subprocesso, apresentando os conceitos, pré-requisitos e limitações dos métodos aplicáveis em cada uma das atividades, além de apresentar possíveis variações na execução das atividades, ampliando as opções disponíveis para a definição de zonas de manejo. Um estudo de caso é apresentado para avaliar a aplicabilidade do modelo de referência proposto, descrevendo a utilização dos subprocessos e atividades propostas. A BPMN mostrou ser adequada para representar os subprocessos, atividades, fluxos e desvios do processo. O estudo de caso comprovou a aplicabilidade do modelo proposto, através de seu uso em um talhão contendo diferentes grades amostrais, erros de coleta e pares de atributos com forte correlação, enfatizando a importância das atividades propostas. Por fim o modelo de referência proposto foi capaz de gerar um conjunto de mapas de zonas de manejo e indicar o mapa mais adequado aos objetivos da agricultura de precisão. / Management zone delineation in the context of precision agriculture requires many steps, from data collection to management zone maps evaluation. However, there are different numbers of steps shown by researchers, besides tools, methods, algorithms and software used. In this context, the aim of this work is to propose a reference model process for management zone delineation in precision agriculture. The proposed reference model process is divided into some steps observed in most of the works analyzed. Business Process Model and Notation (BPMN) was used to formalize the reference model composed of the five subprocesses: data collection, feature selection, data filtering, clustering and maps evaluation. In addition, the model presents activities, flows and gateways for each subprocess, presenting concepts, prerequisites, limitations of the applicable methods for each activity and possible variations to the implementation of the activities, increasing the options available for management zone delineation. A case study is presented to evaluate the applicability of the reference model proposed, describing the use of the subprocesses and activities proposed. The BPMN showed to be adequate to represent subprocess, activities, flows and gateways of the process. The case study demonstrated the applicability of the model proposed through its use in a field with different sample grids, errors from collection and strong correlation between pairs of attributes, emphasizing the importance of the activities proposed. Finally, the model proposed was able to generate a set of management zone maps and to indicate the most appropriate for precision agriculture objectives.

Este trabalho descreve a aplicação de redes neurais \"feed-forward\" com três camadas em diferentes áreas da Engenharia Química. O objetivo principal do projeto é a modelagem, simulação e posterior otimização do processo de produção de isopreno empregando técnicas de redes neurais em substituição as equações de modelagem fenomenológica. A planta industrial testada é a unidade de produção de isopreno da BRASKEM (antiga COPENE). O sistema consiste essencialmente de um reator de dimerização e uma série de colunas de destilação. Uma vez que redes neurais são capazes de aprender eficientemente o processo a partir de informações extraídas diretamente de dados da planta, para este trabalho o modelo de rede neural gerado foi construído a partir de dados históricos operacionais coletados a cada 15 minutos durante o período de 1 ano. Em uma primeira etapa é realizada a análise dos dados operacionais de modo a detectar e eliminar erros grosseiros e sistemáticos. Em seguida, a modelagem e simulação do processo são realizadas. O modelo de redes neurais gerado é, então, empregado na otimização qualitativa/quantitativa do processo, construindo um \"grid\" de busca detalhado da região de interesse, através um mapeamento completo da função objetivo no espaço das variáveis de decisão. A segunda etapa diz respeito à predição de azeótropos, visando um melhor entendimento do comportamento do sistema da seção de extração de isopreno. Nas duas etapas, a grande vantagem em utilizar modelos de redes neurais, além de ajustar dados, é a capacidade que estes apresentam em representar eficientemente sistemas multivariáveis, complexos e não lineares, aprendendo o sistema, sem o conhecimento das leis físicas e químicas que o regem. Comparações entre a predição dos modelos propostos e os dados experimentais foram executadas e resultados muito bons foram conseguidos do ponto de vista industrial. ) Esta metodologia fornece informações interessantes e de maior compreensão para a análise dos engenheiros de processo do que os procedimentos convencionais correspondentes. Além disso, este trabalho mostra que a metodologia de redes neurais é promissora para varias aplicações indústrias, tais como análise de dados, modelagem, simulação e otimização de processos, bem como predição de propriedades termodinâmicas. / This work describes the application of a three-layer feed-forward neural network (NN) in different areas of chemical engineering. The main objective of this study is to model, simulate and optimize a real industrial plant, using NN by replacing phenomenological models. The industrial process studied is the isoprene production unit from BRASKEM. The chemical process consists basically of a dimerization reactor and a separation column train. Since NNs are able to extract information from plant data in an efficient manner, for this work, the neural network model was built directly from historical plant data, which were collected every 15 minutes during a period of one year. These data were carefully analyzed in order to identify and eliminate gross error data and non-steady state operation data. The modeling using NN was carried out by parts in order to get information on intermediate streams. Then, the global model was built, by interconnecting each individual model, and used to simulate and optimize the process. The optimization procedure carries on a detailed grid search of the region of interest, by a full mapping of the objective function on the space of decision variables. The second stage of this work deals with the azeotropic prediction using also the neural network approach. The objective of this step was to obtain a better understanding of the system behavior in the isoprene extraction section. Since all the cases studied are non-linear, complex andmultivariable systems, NN approach appears as a technique of interest due to its capability of learning the system without knowledge of the physical and chemical laws that govern it. Comparisons between the model\'s prediction and the experimental data were performed and reasonable results were achieved from an industrial point of view. ) Using neural network approach provides more comprehensive information for an engineer\'s analysis than the conventional procedure. This work shows that the use of NN methodology is promising for several industrial applications, such as data analysis, modeling, simulation and optimization process, as well as thermodynamics properties prediction. However, success in obtaining a reliable and robust NN depends strongly on the choice of the variables involved, as well as the quality of available data set and the domain used for training purposes.

Military aircraft that require high maneuverability, durability, ballistic protection, reparability, and energy efficiency require structural alloys with low density, high toughness, and high strength. Also, repairs to these aircraft demand a production process that has the flexibility to be relatively in-situ with the same high-performance output. Materials produced by the cold spray process, a thermo-mechanical powder consolidation technique, meet many of the requirements. In accordance with President Obama’s 2011 Materials Genome Initiative, the focus of this effort is to design customized aluminum alloy powders which exploit the unique behavior and properties of the materials created by the cold spray process. Analytical and computational models are used to customize microchemistry, thermal conditioning, and solidification behavior of the powders by predicting equilibrium and non-equilibrium microstructure and resulting materials properties and performance. Thermodynamic, kinetic, and solidification models are used, including commercial software packages Thermo-Calc, Pandat™, and JMatPro®, and TC-PRISMA. Predicted powder properties can be used as input into a cold spray process impact model to determine the consolidated materials’ properties. Mechanical properties of powder particles are predicted as a function of powder particle diameter and are compared to experimental results.

Para permitir um efetivo gerenciamento de processos de negócio, o primeiro passo é o desenvolvimento de modelos de processo adequados aos objetivos das organizações. Tais modelos são utilizados para descreverem papéis e responsabilidades dos colaboradores nas organizações. Além disso, a modelagem de processos é de grande importância para documentar, entender e automatizar processos. As organizações, geralmente provêm documentos não estruturados e de difícil entendimento por parte dos analistas. Neste panorama, a modelagem de processos se torna demorada e de alto custo, podendo gerar modelos de processo que estão em desacordo com a realidade prevista pelas organizações. A extração de modelos ou fragmentos de processo a partir de descrições textuais pode contribuir para minimizar o esforço necessário à modelagem de processos. Neste contexto, esta dissertação propõe uma abordagem para identificar elementos de processo de negócio em texto em linguagem natural de forma semiautomática. Baseado no estudo de processamento de linguagem natural, foi definido um conjunto de regras de mapeamento para identificar elementos de processo em descrição textual Além disso, para avaliar as regras de mapeamento e viabilizar a abordagem proposta, foi desenvolvido um protótipo capaz de identificar elementos de processo em texto de forma semiautomática. Para medir o desempenho do protótipo proposto, foram utilizadas métricas de recuperação de informação, tais como precisão, revocação e medida-F. Além disso, foram aplicados dois questionários com o objetivo de verificar a aceitação perante os usuários. As avaliações apresentam resultados promissores. A análise de 70 textos, apresentou, em média, 73,61% de precisão, 70,15% de revocação e 71,82% de medida-F. Além disso, os resultados do primeiro e segundo questionários apresentaram, em média, 91,66% de aceitação dos participantes. A principal contribuição deste trabalho é propor regras de mapeamento para identificar elementos de processo em texto em linguagem natural para auxiliar e minimizar o tempo necessário à modelagem de processos realizada pelos analistas de processo. / To enable effective business process management, the first step is the design of appropriate process models to the organization’s objectives. These models are used to describe roles and responsibilities of the employees in an organizations. In addition, business process modeling is very important to report, understand and automate processes. However, the documentation existent in organizations about such processes is mostly unstructured and difficult to be understood by analysts. In this context, process modeling becomes highly time consuming and expensive, generating process models that do not comply with the reality of the organizations. The extracting of process models from textual descriptions may contribute to minimize the effort required in process modeling. In this context, this dissertation proposes a semi-automatic approach to identify process elements in natural language text. Based on the study of natural language processing, it was defined a set of mapping rules to identify process elements in text. In addition, in order to evaluate the mapping rules and to demonstrate the feasibility of the proposed approach, a prototype was developed able to identify process elements in text in a semiautomatic way To measure the performance of the proposed prototype metrics were used to retrieve information such as precision, recall, and F-measure. In addition, two surveys were developed with the purpose of verifying the acceptance of the users. The evaluations present promising results. The analyses of 70 texts presented, on average, 73.61% precision, 70.15% recall and 71.82% F-measure. In addition, the results of the first and second surveys presented on average 91.66% acceptance of the participants. The main contribution of this work is to provide mapping rules for identify process elements in natural language text to support and minimize the time required for process modeling performed by process analysts.