592,991 research outputs found

    Skills development and recoding in engineering analysis and simulation : Industry needs

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    The EASIT2 project (Engineering Analysis and Simulation Innovation Transfer), funded under the European Union Lifelong Learning Programme, has the major goal to contribute to the competitiveness and quality of engineering, design and manufacturing in Europe through identifying the generic competencies that users of engineering analysis and simulation systems must possess. This competency framework will include a comprehensive Educational Base, a web-based interface compatible with other staff development systems, with links to associated resource material that engineers and analysts can use to develop and track their competencies. The project will also deliver an integrated Registered Analyst (RA) Scheme to provide recognition of achievement of these competencies. In order to help ensure that the deliverables of this project meet industry needs, a survey was undertaken and this paper summarises the findings of this survey. The survey comprised of an online questionnaire and was completed by 1094 respondents from 50 different countries. A large majority of respondents thought a system to define analyst skills and provide links to appropriate training resources would be useful. There was also strong support for a form of professional qualification in engineering analysis. The advantages to industry that these project deliverables would bring include incentives for staff development, marketing power and enhanced subcontractor qualification and internal resource management. The survey also provided a valuable insight into the current state of the engineering analysis and simulation industry. The most significant barriers to the effective use of engineering analysis were identified as recruitment of suitably qualified and experienced staff and a lack of analysis skills. “Pressure of work” was also identified as the most significant reason why organisations fail to get the most out of engineering analysis software. The findings of this survey are now being used in the development of the project deliverables to ensure that they meet the needs of industry as much as possible

    Enhance maintenance problem recognition techniques and its application to palm oil mills

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    This paper discusses the application of enhanced maintenance problem recognition techniques. The main contribution of this study is the proposed combined techniques, namely snapshot model, failure mode, effect and criticality analysis (FMECA), Pareto analysis, and decision analysis by using information technology (IT). The snapshot model is part of the maintenance modelling technique while FMECA, Pareto analysis, and decision analysis are part of maintenance reliability techniques. Each of the techniques and the proposed combined techniques is explained. The case study used for this enhanced technique was the palm oil mills maintenance problem. The result and possible further enhancement is also discussed

    Enhanced maintenance problem recognition techniques and its application to palm oil mills

    Get PDF
    This paper discusses the application of enhanced maintenance problem recognition techniques. The main contribution of this study is the proposed combined techniques, namely snapshot model, failure mode, effect and criticality analysis (FMECA),Pareto analysis, and decision analysis by using information technology (IT). The snapshot model is part of the maintenance modelling technique while FMECA, Pareto analysis, and decision analysis are part of maintenance reliability techniques.Each of the techniques and the proposed combined techniques is explained. The case study used for this enhanced technique was the palm oil mills maintenance problem. The result and possible further enhancement is also discussed

    A Role-Based Approach for Orchestrating Emergent Configurations in the Internet of Things

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    The Internet of Things (IoT) is envisioned as a global network of connected things enabling ubiquitous machine-to-machine (M2M) communication. With estimations of billions of sensors and devices to be connected in the coming years, the IoT has been advocated as having a great potential to impact the way we live, but also how we work. However, the connectivity aspect in itself only accounts for the underlying M2M infrastructure. In order to properly support engineering IoT systems and applications, it is key to orchestrate heterogeneous 'things' in a seamless, adaptive and dynamic manner, such that the system can exhibit a goal-directed behaviour and take appropriate actions. Yet, this form of interaction between things needs to take a user-centric approach and by no means elude the users' requirements. To this end, contextualisation is an important feature of the system, allowing it to infer user activities and prompt the user with relevant information and interactions even in the absence of intentional commands. In this work we propose a role-based model for emergent configurations of connected systems as a means to model, manage, and reason about IoT systems including the user's interaction with them. We put a special focus on integrating the user perspective in order to guide the emergent configurations such that systems goals are aligned with the users' intentions. We discuss related scientific and technical challenges and provide several uses cases outlining the concept of emergent configurations.Comment: In Proceedings of the Second International Workshop on the Internet of Agents @AAMAS201
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