A Integração de Aplicativos Empresariais (EAI, Enterprise Application Integration) entre empresas de uma mesma cadeia produtiva é uma inovação organizacional que proporciona grandes ganhos em competitividade, o que chega a ser vital no atual ambiente de negócios. Essa integração necessita de recursos nem sempre disponíveis nesses sistemas de gestão. Este estudo fez um levantamento dos Sistemas Integrados de Gestão Empresarial (ERP, Enterprise Resource Planning) mais utilizados no Brasil, a respectiva participação no mercado brasileiro e identificou para cada um deles quais seus recursos existentes para integração com outros ERP de outras organizações da cadeia. Tem-se como resultado um panorama no qual se pode apoiar para tomada de decisão ou usá-lo como ponto de partida para pesquisa do nível de utilização do recurso de integração de sistemas entre empresas no Brasil e das barreiras à implementação da mesma. Trata-se de uma pesquisa exploratória que pela análise dos documentos disponibilizados pelos desenvolvedores dos softwares fez a identificação dos recursos de integração dos cinco sistemas ERP mais utilizados no Brasil. / Enterprise Application Integration (EAI) among companies of the same production chain is an organization innovation that provides meaningful gains in competitiveness, which may be critical in current business environment. This integration needs resources not always available in this management systems. This paper investigated Brazil most used ERP, their market share, and identified each ones existing resources to integrate with other ERP in other organizations in the chain. As a result, there is a full view on which to rely for decision making or to be taken as a start for an research on the system integration resource utilization level among Brazil companies and implementation barriers to it. It is a exploratory research, where by means of documentation made available by the softwares developers identified the integration resources of the five ERP systems most used in Brazil.

A Integração de Aplicativos Empresariais (EAI, Enterprise Application Integration) entre empresas de uma mesma cadeia produtiva é uma inovação organizacional que proporciona grandes ganhos em competitividade, o que chega a ser vital no atual ambiente de negócios. Essa integração necessita de recursos nem sempre disponíveis nesses sistemas de gestão. Este estudo fez um levantamento dos Sistemas Integrados de Gestão Empresarial (ERP, Enterprise Resource Planning) mais utilizados no Brasil, a respectiva participação no mercado brasileiro e identificou para cada um deles quais seus recursos existentes para integração com outros ERP de outras organizações da cadeia. Tem-se como resultado um panorama no qual se pode apoiar para tomada de decisão ou usá-lo como ponto de partida para pesquisa do nível de utilização do recurso de integração de sistemas entre empresas no Brasil e das barreiras à implementação da mesma. Trata-se de uma pesquisa exploratória que pela análise dos documentos disponibilizados pelos desenvolvedores dos softwares fez a identificação dos recursos de integração dos cinco sistemas ERP mais utilizados no Brasil. / Enterprise Application Integration (EAI) among companies of the same production chain is an organization innovation that provides meaningful gains in competitiveness, which may be critical in current business environment. This integration needs resources not always available in this management systems. This paper investigated Brazil most used ERP, their market share, and identified each ones existing resources to integrate with other ERP in other organizations in the chain. As a result, there is a full view on which to rely for decision making or to be taken as a start for an research on the system integration resource utilization level among Brazil companies and implementation barriers to it. It is a exploratory research, where by means of documentation made available by the softwares developers identified the integration resources of the five ERP systems most used in Brazil.

Changing conditions within an organisation's environment necessitate enactment of the strategy realisation process to produce relevant coping strategic intents to successfully reconfigure current, or potential, process networks to better exploit potential opportunities or minimise impacts of a potential threats. Literature regarding strategy realisation has not produced a coherent approach to describe and decompose the subprocesses of the strategy realisation, i.e., several different approaches have been taken to enact some components however there is no formal decomposition of such process. A revision of the strategy realisation literature was conducted and a formal decomposition model for the strategy realisation process was conceived. Various modelling tools, methods and techniques were surveyed to enable the underpinning of the proposed strategy realisation conceptualisation. Utilising a combination of static, causal and simulation modelling methods and tools, a research methodology was proposed to underpin aspects of the enterprise which would facilitate the decision making process of the strategy realisation process. Two case studies were identified in which the proposed methodology could be implemented. In the first case study, two differing strategic intents were analysed within the same organisation under opposing economic conditions. The second case study observed the implementation of a different system configuration to achieve a strategic intent. The strategy realisation process was studied using the described conceptualisation and the enterprise was modelled. Key variables, set by senior management were observed and quantitative analysis was undertaken and reported. It was concluded that the use of modelling methods providing quantitative and qualitative analysis facilitated the decision process within an organisation. A new conceptualisation of the strategy realisation process and the integration of modelling methods, tools and techniques were devised.

The aim of this research was to develop a novel multi-function exercise system for use in a broad range of applications. Market research indicates that the demand for aerobic and anaerobic exercise devices will continue to grow with the introduction of government physical activity guidelines and increased social pressure regarding health related issues. A detailed investigation of the basic exercise science fundamentals and training methodologies was conducted in order to develop a system which would provide efficient and effective training related stimuli for improving fitness. The generation, storage and utilisation of actual and virtual load and velocity profiles for use in the development of original training modes was identified as an important area of the research. The proposed solution utilises an electromechanical programmable motion control system which provides all of the necessary exercise modalities defined in the system specification. This system combines existing industrial servo drive technology with proprietary software and database facilities to provide a step change in functionality, ease of use and safety for all users. Development of these hardware and software elements was supported by the creation of a series of system models at the initial stages of the research using the computer integrated manufacturing open systems architecture (CIMOSA) modelling approach. These diagrams were an invaluable resource during the concept generation and refinement processes and have clearly demonstrated the cross-discipline applications of such formalised modelling techniques. Validation and reliability data collected during prototype testing indicated that the exercise motion generation capabilities and performance measurement facilities were comparable to existing isokinetic dynamometer equipment. Additional subject testing produced results with peak output values and parameter trends which correlated closely to those determined during clinical and academic research. These experimental results suggest that the modular exercise system could be a valuable tool for the collection of research data to be used in support of current and future training theories.

Business goals of manufacturing systems are typically in a state of constant change and greater rates of change are predicted in the future. Whereas contemporary approaches to the design and construction of these systems often results in inflexible enterprises that cannot readily be tuned to changing business goals. This study has specified and prototyped the use of a new model-driven approach to the design and (re)configuration of"change capable" manufacturing cells. Manufacturing cells represent a typical domain of manufacturing systems in which the existence of inflexible links between tasks and resources can result in sub-optimal performance and an inability to cope with change. The approach is based on a) the use of a semi-generic model of manufacturing cells, that structures and targets the use of CIMOSA modelling constructs (as implemented by the SEWOSA tool) towards producing a requirements specification and conceptual design in the form of a graphical and computer executable model of a particular manufacturing cell, and b) the complementary use of new computer executable modelling constructs and tools, that structure and support the detailed design and runtime operation of a particular cell in the form of an explicit, model-based configuration of cell resources and software components that realise the control processes required in a particular cell. Part of the semi-generic model comprises descriptions of common tasks found in a given domain of manufacturing cells. That part of the model has been captured and formalised by using CIMOSA modelling constructs. A new development of this modelling structure allows pre- modelled tasks to be selected, detailed and organised and suitable resources and reusable control system components (or building blocks) assigned to groups of tasks. Thereby this new approached to designing and building manufacturing cells can facilitate rapid and effective design and reconfiguration of manufacturing cell control systems. General information requirements found during the modelling and real world application of target cells, have also been formally defined and are met by using a suitable modelling structure and specially developed tools. Furthermore, the research has shown how modelled sets of software component building blocks can be specified and implemented as modular, reusable elements of manufacturing cell control systems. New modelling structures have been conceived and fonnalised and examples of their use evaluated under laboratory conditions. The research has also deployed and developed pre-existing enterprise modelling concepts and integration tools, including CIMOSA, STEP, EXPRESS, CIMBIOSYS infrastructure services and component-based software design concepts. This has enable the creation of a prototype tool-set that demonstrates how the concepts can be beneficially applied. The main contributions made by this research are that: a) It proposes and develops an approach to the design of manufacturing cell systems that successfully bridges a previous gap between top-down modelling concepts, methods and tools (that typically support formal modelling of system requirements, tasks and resources) and bottom-up detailed design and build techniques that lead to the operation, control and monitoring of real cells, b) It provides a modelling and implementation structure that 'integrates' the use of a classical enterprise modelling approach (namely CIMOSA), design primarily to support the designers of manufacturing systems, to the emerging component-based design and build concepts, that are becoming popular with software and system vendors.

Enterprise modelling can facilitate the design, analysis, control and construction of contemporary enterprises which can compete in world-wide Product markets. This research involves a systematic study of enterprise modelling with a particular focus on resource modelling in support of the life cycle engineering of enterprise systems. This led to the specification and design of a framework for resource modelling. This framework was conceived to: classify resource types; identify the different functions that resource modelling can support, with respect to different life phases of enterprise systems; clarify the relationship between resource models and other modelling perspectives provide mechanisms which link resource models and other types of models; identify guidelines for the capture of information - on resources, leading to the establishment of a set of resource reference models. The author also designed and implemented a resource modelling tool which conforms to the principles laid down by the framework. This tool realises important aspects of the resource modeffing concepts so defined. Furthermore, two case studies have been carried out. One models a metal cutting environment, and the other is based on an electronics industry problem area. In this way, the feasibility of concepts embodied in the framework and the design of the resource modelling tool has been tested and evaluated. Following a literature survey and preliminary investigation, the CIMOSA enterprise modelling and integration methodology was adopted and extended within this research. Here the resource modelling tool was built by extending SEWOSA (System Engineering Workbench for Open System Architecture) and utilising the CIMBIOSYS (CINI-Building Integrated Open SYStems) integrating infrastructure. The main contributions of the research are that: a framework for resource modelling has been established; means and mechanisms have been proposed, implemented and tested which link and coordinate different modelling perspectives into an unified enterprise model; the mechanisms and resource models generated by this research support each Pfe phase of systems engineering projects and demonstrate benefits by increasing the degree to which the derivation process among models is automated.

This work focuses on the axiomatized relationships between different ontologies of varying levels of expressivity. Motivated by experiences in the decomposition of first-order logic ontologies, we partially decompose the Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) into modules. By leveraging automated reasoning tools to semi-automatically verify the modules, we provide an account of the meta-theoretic relationships found between DOLCE and other existing ontologies. As well, we examine the composition process required to determine relationships between DOLCE modules and the Process Specification Language (PSL) ontology. Then, we propose an ontology based on the semantically-weak Computer Integrated Manufacturing Open System Architecture (CIMOSA) framework by augmenting its constructs with terminology found in PSL. Finally, we attempt to map two semantically-weak product ontologies together to analyze the applications of ontology mappings in e-commerce.

This work focuses on the axiomatized relationships between different ontologies of varying levels of expressivity. Motivated by experiences in the decomposition of first-order logic ontologies, we partially decompose the Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) into modules. By leveraging automated reasoning tools to semi-automatically verify the modules, we provide an account of the meta-theoretic relationships found between DOLCE and other existing ontologies. As well, we examine the composition process required to determine relationships between DOLCE modules and the Process Specification Language (PSL) ontology. Then, we propose an ontology based on the semantically-weak Computer Integrated Manufacturing Open System Architecture (CIMOSA) framework by augmenting its constructs with terminology found in PSL. Finally, we attempt to map two semantically-weak product ontologies together to analyze the applications of ontology mappings in e-commerce.

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