Dynamic modeling and simulation of power transformer maintenance costs

The paper presents the dynamic model of maintenance costs of the power transformer functional components. Reliability is modeled combining the exponential and Weibull's distribution. The simulation was performed with the aim of corrective maintenance and installation of the continuous monitoring system of the most critical components. Simulation Dynamic System (SDS) method and VENSIM PLE software was used to simulate the cost. In this way, significant savings in maintenance costs will be achieved with a small initial investment

Analysis of Industrial Companies Business Goals in Conditions of Uncertainty

189-192The appropriate groups are given in the paper of business goals in industrial companies in the conditions of uncertainty using BSC (Balanced Scorecard) and the FDM (Fuzzy Delphi Method) for each of the four independent perspectives: the perspective of learning and development, the internal processes perspective, the perspective of the user, and the financial perspective. The analysis resulted in determining the ranking of business goals by individual perspectives and defining the specific steps that need to be taken to advance in achieving the priority goals

Implementing the AWS Academy curriculum into a cloud computing course

This study was supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, and these results are parts of the Grant No. 451-03-68/2022-14/200132 with University of Kragujevac - Faculty of Technical Sciences Čačak.Companies are moving towards the cloud more than ever, and startups are getting full support from cloud providers in terms of consulting and credits, with developers adopting new programming models shifting further away from traditional technologies. However, teaching cloud computing is still a major undertaking, as it is still difficult choosing the right tools, learning platforms, and creating curriculums to cover such a wide body of knowledge. One of the newest additions to teaching cloud is the AWS Academy curriculum and learner labs and long-running labs. In this paper, the results of implementing the AWS Academy with a hybrid model at Faculty of Technical Sciences are observed. Post-semester evaluation showed up that use of this initiative’s resources can fully support an introductory course in cloud computing. However the proper adaptation is needed to fully utilise the platform and achieve the learning goals.Publishe

One Approach of Providing Quality and Reliability Programs in Conditions of Uncertainty

401-405An algorithm for determining the membership function and the degree of criticality of elements (fuzzy FMECA algorithm) is developed and applied in this paper in terms of ranking elements based on their criticality by applying the theory of fuzzy sets

Teaching and learning inspired optimization algorithms: A review

This paper is supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, and these results are part of the Grant No. 451-03-68/2022-14/200132 with the University of Kragujevac-Faculty of Technical Sciences Čačak.Social Human Behaviour algorithms are the next step in nature inspired algorithms development. In the past decade these are proved to be useful for various optimisation tasks. The paper provided a global preview of existing algorithms of this kind and focused on two specific algorithms, inspired by teaching and learning process: Teaching Learning Based Optimization and Group Teaching Optimisation algorithms. The algorithms' structure and flow are thoroughly explained and illustrated. A preview of algorithms' application is reported, based on the recent research. It is concluded that this kind of algorithms can be aplied in various industry areas and that further research in this field is reqired.Publishe

QFD method application in the process of hotel service quality improvement

QFD method has been applied mainly in industrial companies. The service is intangible product that has its own specificities, and the market of hotel services in our country is becoming saturated. The aim of this paper is the identification of the most important quality characteristics (technical characteristics) of the hotel service and the direction of the hotel management activities to those characteristics that can be related to the highest number of stated customer requirements. Therefore, the result of the research is to define the key characteristics of the service quality and key activities in the design of the service that lead to customer satisfaction and achieving a competitive advantage in the market. Considering the results of the previous QFD method research, especially in the domain of this type of services, and especially in our country, one might say that even a small contribution to this matter is visible and could give impetus, not only for further research in this field, but also for the concrete application of the obtained solutions.Publishe

Optimizacija problema raspoređivanja poslova u Industriji 4.0

The Industry 4.0 trend has brought significant transformation in the manufacturing process through digitalization. In Intelligent Manufacturing Systems (IMS) there is an increase in the complexity of scheduling jobs on machines. The scheduling aims to collect data through the support of novel and emerging technologies such as: inclusion of machine sensors, cloud computing, artificial intelligence, big data analytics, scheduling software, etc. In this paper, we present an example of open-source job shop scheduling software (LEKIN) to solve real-time engineering problems in a manufacturing company. With using optimization algorithms and scheduling software there is likely to be a reduction of production costs and minimization of the total order completion time (make span). A test problem is running to evaluate the difference between the implementation of Shifting Bottleneck Heuristic (SBH) and some dispatching rules, such as Earliest Due Date (EDD), First Come First Served (FCFS), and Shortest Processing Time (SPT). The evaluation criteria used were the make span and the total weighted tardiness. The results have shown that the SBH outstripped the dispatching rules.Publishe

Analysis of Industrial Companies Business Goals in Conditions of Uncertainty

The appropriate groups are given in the paper of business goals in industrial companies in the conditions of uncertainty using BSC (Balanced Scorecard) and the FDM (Fuzzy Delphi Method) for each of the four independent perspectives: the perspective of learning and development, the internal processes perspective, the perspective of the user, and the financial perspective. The analysis resulted in determining the ranking of business goals by individual perspectives and defining the specific steps that need to be taken to advance in achieving the priority goals

Measuring, modelling and managing gully erosion at large scales: A state of the art

Soil erosion is generally recognized as the dominant process of land degradation. The formation and expansion of gullies is often a highly significant process of soil erosion. However, our ability to assess and simulate gully erosion and its impacts remains very limited. This is especially so at regional to continental scales. As a result, gullying is often overlooked in policies and land and catchment management strategies. Nevertheless, significant progress has been made over the past decades. Based on a review of >590 scientific articles and policy documents, we provide a state-of-the-art on our ability to monitor, model and manage gully erosion at regional to continental scales. In this review we discuss the relevance and need of assessing gully erosion at regional to continental scales (Section 1); current methods to monitor gully erosion as well as pitfalls and opportunities to apply them at larger scales (section 2); field-based gully erosion research conducted in Europe and European Russia (section 3); model approaches to simulate gully erosion and its contribution to catchment sediment yields at large scales (section 4); data products that can be used for such simulations (section 5); and currently existing policy tools and needs to address the problem of gully erosion (section 6). Section 7 formulates a series of recommendations for further research and policy development, based on this review. While several of these sections have a strong focus on Europe, most of our findings and recommendations are of global significance.info:eu-repo/semantics/publishedVersio