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Analysis and Comparison of Forecast Methods for a Small Enterprise
14-21Views:334The application of forecasting models is an essential part of the profitable operations of every company. However, today’s small and medium sized enterprises (SMEs) does not pay enough attention to this field. This research presents a case study in which we tried to determine the sequence of a forecasting process, furthermore, determine the best applicable method to the dataset. Seven dissimilar forecasting method was applied: moving average and weighted moving averages with different periods (2-3-4 weeks), as well as exponential smoothing. The four-week-long weighted moving average served the best solution, which was tested by tracking signal as well.
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Battery Measurement Methods and Artificial Intelligence Applied in Energy Management Systems
428-436Views:120Diagnostics of batteries using advanced methods have gained remarkable roles in the past few years. This study focuses on the type of measurements, tests and methods to reveal and classify them. During manufacturing and operation several faults could emerge in batteries including non-optimal operation conditions, operators without experience, and finally, random changes in batteries under physical and nonphysical conditions. Improper handling of batteries and battery cells man cause operation failures or, in the worst case, accidents. To reveal these problems several methods are applied in industry and in scientific laboratories. For a comprehensive analysis of battery management, artificial intelligence and Industry 4.0 methods can be used very effectively. Big Data analysis in its standard form is not a new achievement, but other mathematical tools could be applied to control monitoring such as Fuzzy Logic or Support Vector Machine (SVM). They are efficient tools to analyse the deviation of batteries condition because it can detect sudden changes, parameter deviations and anomalies, and the user’s behaviour and habits. This article gives a description about the most important battery testing methods and the connection between Big Data and Operation Management with Artificial Intelligent (AI) methods.
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Adapting Open Innovation Model in Supplier Qualification Programs
155-167Views:323The development of innovative models fundamentally contribute to the changing the way of thinking in business context. Today, in this process, the impact of open innovation model is a kind of paradigm shift. The contents of this change has been mostly clear in the field of context of product-, innovation and technology, but not onm the field of organizational and management innovations. In this study, we sought to answer that in the case of knowledge transfer’s special field –the programs of suppliers - how to apply the principles of open innovation and how this may have positive effects. The motivation behind, was to look for commonly used models for the SME sector, that is fundamentally linked to large enterprises as suppliers, characterized by increasingly rapid technological development ecosystem to collaborate.
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Do Changes in the Economic Role of States through Privatization matter?: The Brazilian Case
125-136Views:140In market economies, the subject of scientific research is the extent to which the state can contribute to the sustainability of development. However, the question is to know where the boundaries of the market and the role of the state lie. The study briefly introduces different views of the state's economic role and how states have changed the proportion of their entrepreneurial assets. Among these, it highlights privatization, which is one of the significant segments of today's economic policy practice at both micro and macroeconomic levels. It then describes Brazil's economic circumstances that led to the formulation of a proper size privatization program. Finally, the socio-economic factors that, according to the author, make the realization of Brazilian privatization plans uncertain presented.
