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Titlebook: Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017; Proceedings of the F Anna Burduk,Dariusz Mazurkiewicz Conferenc

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楼主: Callow
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Enabling Round-Trip Engineering Between P&I Diagrams and Augmented Reality Work Instructions in Maindel for Augmented Reality support in maintenance processes and the feedback for added assistance in keeping engineering documents up-to-date. The authors implemented and validated the concept under laboratory conditions.
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An Intelligent System Supporting a Forklifts Maintenance Process are to be taken into consideration by the service company in the decision making process. The plan of maintenance activities for each client’s forklifts can be developed and adequate maintenance activities can be indicated for each group on the basis of the risk of failures.
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Intelligent Systems of Forecasting the Failure of Machinery Park and Supporting Fulfilment of Ordersll allow to generate prognosis for failures of machinery park. Moreover, the use of the generated prognosis to control the storage of replacement parts and to support the area of orders fulfilment was proposed.
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An Optimization Approach for Scheduling and Lot Sizing Problems in Electromechanical Industry Using s. The authors present the assumptions of the model and its results concerning generation of the optimal production sequence for the analyzed products. The paper also comprises the analysis if it is reasonable to combine orders or separate them according to individual customer needs.
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Conference proceedings 2018g and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017..The main topics of the conference included the possibility of using widely understood intelligent
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SmartMaintenance - The Concept of Supporting the Exploitation Decision-Making Process in the Selecte developed by the author. SMOPE complying with the requirements of the SmartMaintenance concept, supports the realization of the exploitation decision-making process of the selected technical network system.
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An Intelligent System for Core-Competence Identification for Industry 4.0 Based on Research Results the competencies of employees in the context of the adoption and use of technologies related to Industry 4.0. This is followed by a discussion of the supporting literature and of the results of the empirical studies. Finally, part of an intelligent system for core-competence identification for Industry 4.0 is presented.
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Application of Neural-Fuzzy System in Prediction of Methane Hazardpe. An example of using its interface to predicting of methane hazard in the region of mined longwall was presented. Predictive model based on the real methane measurement data from this longwall was developed.
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