Em um momento em que a produção de conhecimento é cada vez mais necessária junto à contínua expansão e diversificação dos meios de hospedagem, torna-se interessante investigar o recém-criado campo de Inteligência de Negócios ou Business Intelligence (BI). Na hotelaria, as tecnologias e os sistemas de informação são empregados em diversas áreas, como gestão, política de preços, programação e operação de sistemas de informações estratégicas, a fim de facilitar as análises dos principais indicadores de desempenho do setor. A preocupação gira em torno da elevada quantidade de informações produzidas, sendo fundamental dispor de uma maior precisão em processos de tomada de decisões. Nesse contexto, propõe-se um estudo com enfoque no tema Inovação em gestão hoteleira no Brasil, com o objetivo geral de analisar a gestão da inteligência de negócios das redes hoteleiras que atuam no Brasil. Trata-se de uma pesquisa de caráter qualitativo, baseado em revisão de literatura e aplicação de questionários junto aos gestores das redes hoteleiras, podendo, assim, mapear as necessidades das cadeias hoteleiras em termos de gestão, ao se avaliar as práticas de BI. Como resultados, foram identificados os principais softwares de BI existentes no mercado brasileiro (Cognos, MicroStrategy, SAS, Business Objects, Oracle Business Intelligence, QlikView e Pentaho) e os mais adequados para cada porte de empresa. Também foram identificadas as soluções utilizadas para a gestão da informação de BI pelas redes: emprego de softwares de BI, terceirização por meio de serviços de consultoria e tratamento manual dos dados dos sistemas dos hotéis. Por fim, foram avaliados os resultados da gestão de BI nas redes, concluindo que a implantação de gestão de BI considerando a gestão da informação atrelada às TIs traz mais benefícios do que custos às redes hoteleiras analisadas, sobretudo no que diz respeito a propiciar uma tomada de decisão mais acertada / In a time when the production of knowledge is increasingly required for the continued expansion and diversification of lodging facilities, it is interesting to investigate the newly created Intelligence field of Business or Business Intelligence (BI). In hospitality, technology and information systems are used in various fields such as management, pricing, scheduling and operation of strategic information systems to facilitate analysis of key industry performance indicators. The concern revolves around the vast amount of information produced and it is essential to dispose of greater accuracy in decision-making processes. In this context, is proposing a study focusing on the theme Innovation in hotel management in Brazil, with the overall objective to analyse the management of the business intelligence of the chains operating in Brazil. It is a qualitative research, based on literature review and application of questionnaires with the managers of the chains, and thus can map the needs of hotel chains regarding management when evaluating BI practices. As a result, the primary existing BI software in the Brazilian market was identified (Cognos, MicroStrategy, SAS, Business Objects, Oracle Business Intelligence, QlikView, and Pentaho) and the most suitable for every size company. Also, the solutions identified were used for the management of BI information across networks: use of BI software, outsourcing through consultancy and manual data processing systems of the hotel services. Finally, it was evaluated the BI management achievements in the nets, concluding that the BI management implementation - considering the information management linked to IT - bring more benefits than costs to the analysed chains, particularly about providing a more positive decision making

Purpose: This paper presents a critical book review of “Introduction to Private and Public Intelligence: The Swedish School of Competitive Intelligence” by Søilen (2005). The purpose of the book is to gather ideas and concepts about the subject of private- and public intelligence for students to use in an introductory course. Method: The book is conducted as a systematic review of private and public business intelligence. It provides practical examples, analytical implications and discuss relevant theories in accordance to the topic. Inspiration is found in student discussion at Lund and Malmö University as well as among other scholars, professionals and researchers. Authorship: Klaus Solberg Søilen is professor at Halmstad University, Sweden, within the field of business administration. His two main fields of research are business intelligence and digital marketing. Søilen is also editor at the Journal of Intelligence Studies in Business (JISIB), and possess many years of international work experience within marketing research and auditing. He also serves on the board of several companies and operate as a consultant on a global scale.  Audience: Students and intelligence professionals. Impact: Collected from Google Scholar search engine, the book has received different responses from numerous authors. They mostly agree and adopt great contributions with the book as a foundation for the study of private and public intelligence, with a specific topic such as; competitive intelligence, marketing intelligence, and trade show intelligence. However, there are also some arguments against the author’s opinions that are argued further.

Aim: The aim of the paper is to critically review the book “Introduction to Private and Public Intelligence: The Swedish School of Competitive Intelligence” by Søilen (2005). The aim of the book has been to gather ideas and concepts about the subject of private and public intelligence for students to use in an introductory course. Structure: The paper is structured that first an introduction of the book is provided, after which the content of the book is presented by chapters. Thereafter, the discussion and conclusion about the book are presented. The book is structured as a systematic review of private and public intelligence. The book contains definitions, theories, discussions, practical examples, and analytical implications. Authorship: The author of the book, Klaus Solberg Søilen, is a professor and researcher at Halmstad University in Sweden. His research is mainly within the fields of management, intelligence studies, competitive intelligence, geoeconomics, digital marketing, etc. He has many years of experience within marketing research and auditing. Moreover, he serves on the board of several companies, as well as, operates as a consultant. He is also the editor of the Journal of Intelligence Studies in Business (JISIB). Audience: Students, professionals and anyone else who is interested in private and public intelligence. Impact: The book has been reviewed and citied from numerous authors. Most of them, agree with Søilen, and use the book as a foundation of the study of private and public intelligence. However, there are authors who argue against Søilen’s opinions.

Made available in DSpace on 2016-12-12T20:29:43Z (GMT). No. of bitstreams: 1 124165.pdf: 6277287 bytes, checksum: fa409c6c35f4552ae9bf5cb17da03a22 (MD5) Previous issue date: 2015-07-27 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / Information is an intangible asset increasingly relevant to the context in which organizations operate, due to the large availability of data and information and the need to supply decision makers with actionable intelligence. This research promotes the adoption of Competitive Intelligence processes and Strategic Foresight in designing mechanisms and tools that provide strategic information to stakeholders. The objective was to model a Sectoral Intelligence System from the perspective of Strategic Foresight applied to the Agrifood industry in the state of Santa Catarina. The choice of the agri-food sector is justified by its relevance to the state, as it is considered one of the carriers sectors of the future in the framework of the Santa Catarina s Industrial Development Program - PDIC 2022 conducted by the Federation of Industries of the State of Santa Catarina - FIESC. The research was characterized as applied and descriptive, focused on a case study. Data were collected through non-participant observation in the experts panel Strategic Route of the Agrifood Sector and benchmarking research, which received qualitative treatment. One of the research results to be highlighted is the proposition of the Agrifood Sector Intelligence System (SIS) conceptual model which covered the steps of identifying information needs, collecting and analysing information, dissemination of intelligence products and the validation of the system and its impacts in the sector. Among the technologies suggested to support the development of the system is big data, which enables the visualization of large volumes of information at high speed. In short, this research is expected to promote sectoral mobilization in order to put into practice the modeling of the proposed SIS, thus contributing to the decision-making process and increase the industrial competitiveness of the state. / A informação é um ativo intangível cada vez mais relevante para o contexto em que a organização está inserida, devido a grande disponibilização de dados e informações e a necessidade de gerar inteligência acionável para os tomadores de decisão. É nesse cenário que esta pesquisa está pautada, por meio da inserção dos processos de Inteligência Competitiva e Prospectiva Estratégica na concepção de mecanismos e ferramentas que tornem a informação estratégica para todas as partes interessadas. O objetivo do trabalho foi modelar um Sistema de Inteligência Setorial do ponto de vista da Prospectiva Estratégica aplicado ao setor Agroalimentar do estado de Santa Catarina. A escolha do setor agroalimentar justificou-se por sua relevância para o estado, além de ser considerado um dos setores portadores de futuro no âmbito do Programa de Desenvolvimento Industrial Catarinense PDIC 2022 realizado pela Federação das Indústrias do Estado de Santa Catarina FIESC. Em termos metodológicos, a pesquisa caracterizou-se como aplicada e descritiva, privilegiando o estudo de caso. Os dados foram coletados por meio da observação não participante no painel de especialistas da Rota Estratégica do setor agroalimentar e pesquisa de benchmarking, os quais receberam tratamento qualitativo. Como resultados da pesquisa destacam-se a proposição do modelo conceitual do Sistema de Inteligência Setorial (SIS) agroalimentar que contemplou as etapas de identificação das necessidades de informações, a coleta e análise, a disseminação dos produtos de inteligência e a avaliação do sistema e seus impactos para o setor. Entre as tecnologias sugeridas para suportar o desenvolvimento do sistema menciona-se o big data, que possibilita a visualização de grandes volumes de informações em alta velocidade. Em síntese, espera-se que os resultados dessa pesquisa promova uma mobilização setorial, a fim de colocar em prática a modelagem do SIS proposto, contribuindo assim com o processo de tomada de decisão e aumento da competitividade industrial do estado.

<p>Recent reliance on social media platforms as major sources of news and information, both for journalists and the larger population and especially during times of crisis, motivate the need for better methods of identifying and tracking high-impact events in these social media streams. Social media's volume, velocity, and democratization of information (leading to limited quality controls) complicate rapid discovery of these events and one's ability to trust the content posted about these events. This dissertation addresses these complications in four stages, using Twitter as a model social platform. The first stage analyzes Twitter's response to major crises, specifically terrorist attacks in Western countries, showing these high-impact events do not significantly impact message or user volume. Instead, these events drive changes in Twitter's topic distribution, with conversation, retweets, and hashtags relevant to these events experiencing significant, rapid, and short-lived bursts in frequency. Furthermore, conversation participants tend to prefer information from local authorities/organizations/media over national or international sources, with accounts for local police or local newspapers often emerging as central in the networks of interaction. Building on these results, the second stage in this dissertation presents and evaluates a set of features that capture these topical bursts associated with crises by modeling bursts in frequency for individual tokens in the Twitter stream. The resulting streaming algorithm is capable of discovering notable moments across a series of major sports competitions using Twitter's public stream without relying on domain- or language-specific information or models. Furthermore, results demonstrate models trained on sporting competition data perform well when transferred to earthquake identification. This streaming algorithm is then extended in this dissertation's third stage to support real-time event tracking and summarization. This real-time algorithm leverages new distributed processing technology to operate at scale and is evaluated against a collection of other community-developed information retrieval systems, where it performs comparably. Further experiments also show this real-time burst detection algorithm can be integrated with these other information retrieval systems to increase overall performance. The final stage then investigates automated methods for evaluating credibility in social media streams by leveraging two existing data sets. These two data sets measure different types of credibility (veracity versus perception), and results show veracity is negatively correlated with the amount of disagreement in and length of a conversation, and perceptions of credibility are influenced by the amount of links to other pages, shared media about the event, and the number of verified users participating in the discussion. Contributions made across these four stages are then usable in the relatively new fields of computational journalism and crisis informatics, which seek to improve news gathering and crisis response by leveraging new technologies and data sources like machine learning and social media.

<p> Real-Time Strategy games have become a new frontier of artificial intelligence research. Advances in real-time strategy game AI, like with chess and checkers before, will significantly advance the state of the art in AI research. This thesis aims to investigate using heuristic search algorithms to generate effective micro behaviors in combat scenarios for real-time strategy games. <i> Macro</i> and <i>micro</i> management are two key aspects of real-time strategy games. While good macro helps a player collect more resources and build more units, good micro helps a player win skirmishes against equal numbers of opponent units or win even when outnumbered. In this research, we use influence maps and potential fields as a basis representation to evolve micro behaviors. We first compare genetic algorithms against two types of hill climbers for generating competitive unit micro management. Second, we investigated the use of case-injected genetic algorithms to quickly and reliably generate high quality micro behaviors. Then we compactly encoded micro behaviors including influence maps, potential fields, and reactive control into fourteen parameters and used genetic algorithms to search for a complete micro bot, <i> ECSLBot.</i> We compare the performance of our ECSLBot with two state of the art bots, <i>UAlbertaBot</i> and <i>Nova,</i> on several skirmish scenarios in a popular real-time strategy game <i>StarCraft. </i> The results show that the ECSLBot tuned by genetic algorithms outperforms UAlbertaBot and Nova in kiting efficiency, target selection, and fleeing. In addition, the same approach works to create competitive micro behaviors in another game <i>SeaCraft.</i> Using parallelized genetic algorithms to evolve parameters in SeaCraft we are able to speed up the evolutionary process from twenty one hours to nine minutes. We believe this work provides evidence that genetic algorithms and our representation may be a viable approach to creating effective micro behaviors for winning skirmishes in real-time strategy games.</p>

A busca pela Vantagem Competitiva se tornou fundamental para a sobrevivência e destaque das organizações, assim o objetivo desta tese foi analisar a relação entre as Prioridades Competitivas, a Inovação de Produto e de Processo na criação de Vantagem Competitiva na cadeia produtiva da uva e vinho. Inicialmente foi realizada uma pesquisa bibliométrica, a qual confirmou que a análise conjunta destes construtos teóricos é ainda pouco explorado, principalmente quando se tratando de cadeias produtivas do agronegócio. O método de pesquisa foi o quantitativo seguido do qualitativa. A pesquisa quantitativa foi realizada na região da Serra Gaúcha, Rio Grande do Sul, Brasil, foram entrevistados 196 atores da cadeia produtiva da uva e vinho. Enquanto que a pesquisa qualitativa foi realizada na região da Bairrada, Aveiro, Portugal com 6 atores da cadeia produtiva da uva e vinho. Para análise, foi utilizada a técnica de Modelagem de Equações Estruturais. Os resultados indicaram que existe relação positiva e significativa entre as Prioridades Competitivas, Inovação e Vantagem Competitiva. Todas as hipóteses foram confirmadas com nível de significância de 5%. Após os resultados obtidos na pesquisa quantitativa e qualidade as Prioridades Competitivas foram ordenadas conforme a percepção dos entrevistados tanto na pesquisa quantitativa ou qualitativa. A redução de custos se apresentou como a Prioridade Competitiva mais relevante, para a cadeia produtiva da uva e vinho da Serra Gaúcha, Brasil, na criação de Vantagem Competitiva e para a região da Bairrada, Aveiro, Portugal, ficou em segundo lugar. Para a região da Bairrada, Aveiro, Portugal a Prioridade Competitiva mais importante foi a Qualidade. As prioridades Entrega e Flexibilidade ficaram com a mesma classificação tanto para a região da Serra Gaúcha, Brasil como para a região da Bairrada, Aveiro, Portugal. Assim, a partir do Modelo Teórico proposto e testado empiricamente que é uma contribuição desta tese, pois possibilita um melhor entendimento sobre a relação das Competitiva para a cadeia produtiva da uva e do vinho. Pode-se observar que neste contexto as Prioridades Competitivas podem ser consideradas as precursoras ou facilitadoras para inovação, auxiliando assim os atores da cadeia da uva e do vinho tomarem decisões. Poderá também possibilitar o redirecionamento de estratégias e ações de investimento no sentido de maximizar os lucros econômicos da cadeia da uva e vinho, tanto no Brasil quanto em Portugal. / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES / The search for Competitive Advantage has become fundamental to the survival and prominence of organizations. Thus the objective of this thesis was to analyze the relationship between Competitive Priorities, Product and Process Innovation in the creation of Competitive Advantage in the grape and wine production chain. Initially a bibliometric survey was carried out, which confirmed that the joint analysis of these theoretical constructs is still little explored, especially when dealing with agribusiness productive chains. The method of research was quantitative followed by qualitative. The quantitative research was carried out in the region of Serra Gaúcha, Rio Grande do Sul, Brazil. We interviewed 196 actors from the grape and wine production chain. The qualitative research was carried out in the region of Bairrada, Aveiro, Portugal with 6 actors from the grape and wine production chain. For the analysis, the Structural Equation Modeling technique was used. The results indicated that there is a positive and significant relationship between the Competitive Priorities, Innovation and Competitive Advantage. All hypotheses were confirmed with significance level of 5%. After the results obtained in quantitative and qualitative research, the Competitive Priorities were ordered according to the perception of the interviewees in both quantitative and qualitative research. Based on the ordering of the Competitive Priorities, cost reduction as the most important Competitive Priority, for the productive chain of the grape and wine of the Serra Gaúcha, Brazil, in the creation of competitive advantage and to the Bairrada region, Aveiro, Portugal, took second place. For the region of Bairrada, Aveiro, Portugal the most important Competitive Priority was the quality. Delivery and flexibility were priorities with the same classification both for the region of the Serra Gaúcha, Brazil as to the Bairrada region, Aveiro, Portugal.Thus, from the theoretical model proposed and empirically tested that is a contribution of this thesis, because it allows a better understanding about the relation of the Competitive Priorities to the grape and wine production chain. It can be observed that, in this context, Competitive Priorities can be considered as precursors or facilitators for innovation, thus helping grape and wine chain actors to make decisions. It may also make possible the redirection of investment strategies and actions in order to maximize the economic profits of the grape and wine chain, both in Brazil and in Portugal.

Submitted by JOSIANE SANTOS DE OLIVEIRA (josianeso) on 2017-10-27T15:52:41Z No. of bitstreams: 1 Elizabeth Pedrosa Ribeiro_.pdf: 693060 bytes, checksum: fa60b29a6620288c17ff3c1a512d37ed (MD5) / Made available in DSpace on 2017-10-27T15:52:41Z (GMT). No. of bitstreams: 1 Elizabeth Pedrosa Ribeiro_.pdf: 693060 bytes, checksum: fa60b29a6620288c17ff3c1a512d37ed (MD5) Previous issue date: 2017-03-31 / Nenhuma / No esporte competitivo a busca da vitória parece exigir dos atletas certo grau de "imoralidade". Simulações e faltas provocadas intencionalmente, bem como provocações e mesmo agressões não são exatamente raras em esportes coletivos; em esportes individuais, o doping é um exemplo bem conhecido. Seriam esses comportamentos inerentes à prática do esporte? Estudos recentes mostram, por outro lado, que tais condutas dependem de certa anulação ou bloqueio dos mecanismos empáticos em nosso cérebro. Ao que parece, para que haja uma "vontade de vencer", é preciso menos empatia do que a moralidade exige. Contudo, sentimentos empáticos são condições fundamentais para que haja comportamentos morais adequados. Por outro lado, para que a competição aconteça é necessário que se manifeste uma vontade de vencer naqueles que estão competindo. Isso representa um problema para pensar a ética no esporte, visto que a vontade de vencer pode tornar-se uma paixão desimpedida. Neste trabalho, assume-se que somos seres morais e empáticos por natureza, mas que a empatia pode ser desenvolvida ou reprimida por uma série de contingências. Por outro lado, assumimos também que a vontade de vencer é uma dessas contingências, sendo inerente à competição. Assim, o que pode ou não acontecer durante um jogo parece estar diretamente relacionado à relevância do resultado e suas consequências. Conjugar empatia e vontade de vencer significa, portanto, conjugar variáveis morais eventualmente opostas, ambas, porém, necessárias para que o próprio esporte exista. Nesta tese, argumentarei que, durante uma competição, é inevitável que os atletas expressem sentimentos conflitantes e que há uma tensão inerente ao esporte entre a vontade de vencer e a empatia. Esses dois impulsos estão sempre presentes no esporte, pois eles representam, de um lado, o desejo do desportista em obter sucesso e, de outro, o desejo de respeitar o adversário, a fim de garantir uma competição justa. Combinar esses dois recursos sem fazer com que eles sejam anulados é talvez o maior valor do esporte competitivo. Como conclusão, defenderei, em termos metaéticos, que o exemplo do esporte mostra que uma concepção pluralista sobre os valores está mais próxima da verdade do que uma concepção monista. / In competitive sport, the pursuit of victory seems to require athletes a degree of "immorality." Intentional simulations and fouls, as well as provocations and even aggressions are not exactly rare in collective sports; in individual sports, doping is a well-known example. Are these behaviors inherent in the practice of sports? Recent studies show, on the other hand, that such behaviors depend on a certain nullification or blockage of the empathic mechanisms in our brain. It seems that a "will to win" requires less empathy than morality requires. However, empathic feelings are fundamental conditions for appropriate moral behavior. On the other hand, for the competition to happen it is necessary that a will to win be manifest in those who are competing. This presents a problem for thinking about sport ethics, since the will to win can become a passion unimpeded. In this work, it is assumed that we are moral and empathetic beings by nature, but that empathy can be developed or repressed by a series of contingencies. On the other hand, we also assume that the will to win is one of those contingencies, being inherent in competition. Thus, what may or may not happen during a game seems to be directly related to the relevance of the result and its consequences. Hence, to conjugate empathy and the will to win means to conjugate moral variables eventually opposed, since both of them are necessary for the sport itself to exist. In this thesis, I will argue that, during a competition, it is inevitable that athletes express conflicting feelings and that there is an inherent tension in the sport between the will to win and empathy. These two impulses are always present in the sport, since they represent, on the one hand, the desire of the sportsman to be successful and, on the other, the desire to respect the adversary, in order to guarantee a fair competition. Combining these two features without making them void is perhaps the greatest value of competitive sport. In conclusion, I will argue metaethically that the sport example shows that a pluralist conception of values is closer to truth than a monistic conception.

Submitted by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2017-06-19T17:53:09Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação - Wesley G. Feitosa.pdf: 4956196 bytes, checksum: 0436bf1820fed60d6dc0bfd75f658825 (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2017-06-19T17:53:21Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação - Wesley G. Feitosa.pdf: 4956196 bytes, checksum: 0436bf1820fed60d6dc0bfd75f658825 (MD5) / Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2017-06-19T17:53:31Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação - Wesley G. Feitosa.pdf: 4956196 bytes, checksum: 0436bf1820fed60d6dc0bfd75f658825 (MD5) / Made available in DSpace on 2017-06-19T17:53:31Z (GMT). No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Dissertação - Wesley G. Feitosa.pdf: 4956196 bytes, checksum: 0436bf1820fed60d6dc0bfd75f658825 (MD5) Previous issue date: 2016-12-19 / The present work aims to develop a survey of cargoes in a vessel for the determination of the price of goods in fluvial transport in tables divided into classes and subclasses and aiming at the shipowner an alternative of freight of goods in structured tables and the creation of an application In the most diverse classes of pertinence. Having as problematic in the sector of fluvial transport, where the goods are not collected in a unique form in values. The methodology is presented as an applied research with a quantitative approach. The means is classified as a descriptive research and in relation to the method it is classified as a case study and data collection. The results come from analyzes of the prices charged of the goods and tabulated in classes and subclasses. It is concluded that the obtaining of freight tables of goods in classes and subclasses and their respective values charged by weight or volume and the application of the Calculus freight app for the population that uses the fluvial modal in the Amazon Region. / O presente trabalho tem como objetivo desenvolver um levantamento de cargas em uma embarcação para a determinação do preço de mercadorias no transporte fluvial em tabelas divididas em classes e subclasses e objetivando ao armador uma alternativa de afretamento de mercadorias em tabelas estruturadas e a criação de um aplicativo nas mais diversas classes de pertinências. Tendo como problemática no setor de transporte fluvial, onde as mercadorias não são cobradas de forma única em valores. A metodologia apresenta-se como uma pesquisa aplicada com abordagem quantitativa. Quanto aos meios classifica-se como pesquisa descritiva e em relação ao método classifica-se como um estudo de caso e levantamento de dados. Os resultados surgem a partir de analises dos preços cobrados das mercadorias e tabeladas em classes e subclasses. Conclui-se que a obtenção de tabelas de fretes de mercadorias em classes e subclasses e seus respectivos valores cobrados por peso ou volume e a aplicação do app Calculus frete para a população que utiliza o modal fluvial na Região Amazônica.

Currently, European small and medium-sized enterprises (SMEs) are experiencing increasing pressure to provide high quality goods with customised features while at the same time remain cost effective and competitive in the global market. In the future, manufacturing systems need to be able to cope with constantly changing market requirements. Consequently, there is a need to develop the research foundations for a new generation of manufacturing systems composed of intelligent autonomous entities which are able to reconfigure themselves and to adapt their performance as a result of product and environmental changes. The research described in this thesis addresses the issue by developing three distinctive elements of an adaptation framework for next-generation manufacturing systems. The first element is a capability-based data model for the representation of manufacturing resources to enable self-awareness. The model captures the resources’ life cycle and performance indicators to provide information about the resources’ condition. The second element is a multi-agent architecture for plug and produce and the reconfiguration of manufacturing systems. The resource data model is utilised by the agent society, which is able to instantiate a model to represent a physical resource in the virtual agent society. The shift to the virtual environment enables a communication infrastructure for heterogeneous resources and the application of the digital twin concept. The agent architecture applies negotiation techniques to establish a plan for system adaptation. The third element is a methodology for automated experience-based manufacturing system adaptation. The adaptation methodology is based on previous runtime experience instances to generate adaptation knowledge. The information generated is applied to the current context and part of the agent negotiation which is dynamically executed in case of a disturbance. Collectively, these three elements significantly increase the flexibility and reconfigurability of a manufacturing system reducing the time required for integration and maintenance of complex systems on demand, improving their effectiveness. The developed framework is implemented and evaluated experimentally on a physical, industrial standard demonstrator and using a virtual simulation model. The experimental results confirm a significant step towards new solutions for the deployment of self-adaptable intelligent manufacturing systems.