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Displacement: Translation and Rotation. Differences and Similarities in the Discrete and Continuous Models
104-124Views:149The motion (displacement) of the Euclidean space can be decomposed into translation and rotation. The two kinds of motion of the Euclidean space based on two structures of the Euclidean space: The first one is the topological structure, the second one is the idea of distance. The motion is such a (topological) map, that the distance of any two points remains the same. The bounded and closed domain of the Euclidean space is taken as a model of the rigid body. The bounded and closed domain of the Euclidean space is also taken as a model of the deformable solid body. The map – i.e. the displacement field – of the deformable solid body is continuous, but is not (necessarily) motion; the size and the shape of body can change. The material has atomic-molecular structure. In compliance with it, the material can be comprehended as a discrete system. In this case the elements of the material, as an atom, molecule, grain, can be comprehended as either material point, or rigid body. In the first case the kinematical freedom is the translation, in the latter case the translation and the rotation. In the paper we analyse how the kinematical behaviour of the discrete and continuous mechanical system can be characterise by translation and rotation. In the discrete system the two motions are independent variable. At the same time they characterise the movement of the body different way. For instance homogeneous local translation gives the global translation, but the homogeneous local rotation does not give the global rotation. To realise global rotation in a discrete system on one hand global rotation of the position of the discrete elements, on the other hand homogeneous local rotations of the discrete elements in harmony with global rotation are required. In the continuous system the two kinds of movement cannot be interpreted: a point cannot rotate, a rotation of surrounding of a point or direction can be interpreted. The kinematical characteristics, as the displacement (practically this is equal to translation) of (neighbourhood of) point, the rotation of surrounding of that point and the rotation of a direction went through that point are not independent variables: the translation of a point determines the rotation of the surrounding of that point as well as the rotation of a direction went through that point. With accordance this statement the displacement (practically translation) (field) as the only kinematical variable can be interpreted in the continuous medium.
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Process Innovation Tools and Strategies in Production Management
148-162Views:342The method of process innovation helps to recognize the opportunities in production processes that represent clear competitive advantage. Using it, up to 30% change is available in increasing productivity and in the reducing of costs, stocks, and lead times. There is no need for complicated methods in the process development. The power of logical, simple tools relies on the fact that everyone can learn, understand, apply them and give quick feedback about their operation. Significant changes have been made in today's possibilities of designing and operating production systems. The emergence of cyber physical systems, the opportunities offered by big data, and the "Internet of Things" (Internet of Things) have shown strong research potential for more efficient logistics and manufacturing systems. The potential of network co-operation, information gathered from tracing materials in production and communication between machines provide a wide-range of optimization opportunities for manufacturing processes. The toolkit presented in the research cannot only be used in direct production; almost all parts of the value creation process can be broken down into routine actions, so the causes of the problems can be analyzed and the development of the process’ parts can be easier implemented.
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Relationship between Population Growth and Urbanization
527-541Views:477The main purpose of this article is to examine how to respond to and change the field of urbanization. Creating dwindling new opportunities and challenges for globalization, new sector introductions and agricultural dominance. In relation to changing trends in urban and rural environments, people's preferences are very diverse and their lives are changing. The difference between a big city and a small city can test different lifestyles. It is a fundamentally important infrastructure personality insurance system (both cities), important from the point of view of larger cities and very different from small towns in terms of quality. The benefits of small towns can be a unique lifestyle and a healthy lifestyle, which can certainly be felt. Among the different characteristics of urbanization in developing and developed countries, we can mention the different time course and magnitude [1]. Namely, in developed countries the urban explosion has taken place for a long time and with fewer people than in developing countries [2]. The rate of urban population growth in the latter group will be 4.04% between 1950 and 1975, 3.6% between 1975 and 2000, and 2.4% between 2000 and 2030. The Earth and all of humanity are facing many challenges these days, and this trend will continue in the future. The planet's overpopulation and changing eating habits put great pressure on agriculture and the countryside. Research focused on the countryside focuses on analyzing the various functions of rural areas.
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The Possible Job Creation and Job Destructive Effects of Technological Development
53-61Views:339Throughout history, technological change has often provided the basis for employee anxiety. Between 1811 and 1816, a group of workers in England who called themselves "Luddists" destroyed machines, because they thought it would endanger their workplace. 19th-century thinkers and economists such as Karl Marx and David Ricardo predicted that mechanizing the economy would ultimately worsen workers' conditions, depriving them of a decent wage. Over the last century, John M. Keynes (1930s) and Wassily Leontief (1950s) have expressed their fears that more and more workers will be replaced by machine solutions that will lead to unemployment. In recent years, Brynjolfsson and McAfee (2014) have argued that existing technologies reduce the demand for labor and put some of the human workforce at a permanent disadvantage. However, there are a number of compensation mechanisms that can offset the initial displacement effects of automation and process innovation in general (Vivarelli, 2015). First of all, while workers are being replaced in industries that introduce new machine technology, additional workers in new industries are needed. Second, automation (and process innovation in general) reduces average costs. Acemoglu and Restrepo (2017) found that this results, on the one hand, in the effect of price productivity (“priceproductivity”) (as production costs decrease, the industry can expand and increase labor demand); and, on the other hand, it leads to economies of scale in production (the reduction in costs due to automation leads to an increase in total output and increases the demand for labor in all industries). Similarly, Vivarelli (2015) argues that lower average costs can result in lower prices (if the industry's market structure is perfectly competitive), stimulate product demand, or result in extra profits (if the industry's structure is not perfectly competitive). If these extra profits are reinvested in the company, this investment can create new jobs. The presentation intends to present these counterbalancing cases and to provide real examples based on the literature.
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Adapting Open Innovation Model in Supplier Qualification Programs
155-167Views:348The 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.
