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Future Power Plant Portfolio Analysis from the Point of View of Minimum Cost and Emission Optimization
61-77Views:52The article examines the expected composition of the power plant portfolio in Hungary by 2030. The indicators considered are the life-cycle unit costs (LCOE) and the life-cycle specific carbon dioxide emissions (LCA(CO2)) of the power plant types. The minimum of these two indicators, as objective functions, is determined by a linear programming method for the power plant portfolio. The results show that the LCOE minimum for the power plant portfolios in 2030 is worse in absolute terms and better in specific terms than in 2021. In both absolute and specific terms, the LCA(CO2) minimum is more favourable in 2021. These results are met under the thirty and twenty-five percent electricity import scenarios. With twenty percent imports, the absolute values are worse and the specific values are better for both indicators. On the other hand, the results of the calculations for 2030 fall short of the 2030 Agenda of the Institute for a Green Transition. This is due to the delay in commissioning a new nuclear power plant and the transformation of industry with increasing electricity demand. For the portfolios under review, a minimum of thirty percent of domestic generation from renewable sources is met. This contributes significantly to the European Union's ambition for the sector to be net greenhouse gas-free by 2050.
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Vehicle dynamics modelling of an electric driven race car
106-114Views:138In the following we are presenting a vehicle dynamics simulation program developed in MATLAB environment. The program is capable of calculating the dynamics functions of a vehicle from its technical data. The program has been successfully applied for the optimization of the technical data of an electric driven race car that was designed and constructed at the Department of Mechanical Engineering of the University of Debrecen.
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Analysis of Activity Times in the Process of a Wooden Box Manufacturing
475-484Views:140The main target of companies is to earn money and achieve profit. In order to fulfil these needs, companies have to reduce their costs. Cost reduction is often associated with bad quality products, but it could be done in a different way. Sometimes it is enough to examine only their own processes and then benefit from the process optimization, process improvement or process scheduling. In this article a case study is presented, in which the differences in a production scheduling are evaluated with the application of Monte-Carlo simulation and descriptive statistics. At the end of the paper the most efficient material sequence is selected at the manufacturing company by using weighted sum model
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Optimization of Automotive Industry’s Manufacturing Process with Lean Tools
81-89Views:394Lean plays i mportant role in industrial environment. Automotive industries use lean tools in order to reduce cost and i mprove productivity. To achieve the company's objectives and so lve the detected problems I also used lean tools. By using lean tools we want to decrease total process cost (TPC). In order to achieve this target, the three-shift production has to reduce in two-shift production, which result decrease in the human resource costs and production costs. In order to reduce shifts we have to increase overall equipment efficiency (OEE) and eliminate minimum 50% of wastes by implementing 5s methodology, using Poka-yoke and scheduled maintenance.
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Process Innovation Tools and Strategies in Production Management
148-162Views:344The 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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Mechanical Design and Finite element Analysis for Acetabular cup
23-35Views:136Hip replacements typically consist of a four-part piece. Our research will focus primarily on the acetabular component. Several different types of materials can be used when creating a hip replacement implant ranging from plastic to titanium. Different materials are used to accommodate for allergic reactions or circumventing potential health risks. Aside from the material, the size of the components plays a factor in terms of durability; a larger diameter head might avoid dislodgement though it could increase wear and tear on the stems through constant friction. A patient’s force applied to the hip replacement is usually measured through a number of physical assessments. Finite element analysis (FEA), a computer-based method of data observation, allows for us to accurately simulate hip forces and their impact on the hip replacements. Through this, it becomes easier to predict and calculate the performance of specific designs. Generative systems can also be used to support performance analysis and optimization through assessing a multitude of cases, many of which apply in real-world scenarios. By applying both systems, we designed and modeled an acetabular cup that when measured decreased the mass from 129 grams initially down to 52 grams, a 60% decrease in total mass. Furthermore, the design we created lessened the trauma on the piece through distributing force across the entirety of the piece rather than specific segments only. This shows an increased durability and life expectancy when compared to usual acetabular cups.
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Business Strategy in the Model of Linear Activity Analysis of Production
1-14Views:189It was analyzed how the methodology of linear activity analysis of production model supports the implementation of different business strategies at a company level. Aspects of analysis are focusing on openness for markets, lean management and environmental protection strategies. The study reveals that the linear activity analysis of production – mainly due to its efficient process optimization problem solving ability – is capable supporting lean management decisions and implementing additional objectives in business strategies. Such objectives can be sustaining specific production patterns for further development or following strategies for limiting market competition. It will be shown how to quantify the costs of strategic objectives in linear activity analyzing model.
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Impact of Digitalization on Domestic Trade Strategies
318-333Views:1455The aim of our study is to reveal the fit of digital space into current and future trade and to assess the effects of digitization on Hungarian trade strategies. The information gathering and purchasing habits of consumers have changed dramatically in recent years. Consumers today make buying decisions based primarily on convenience, effectiveness (fast and convenient access to products at adequate price/value ratio), and experience. Adjusting to these trends, traders developed novel trading strategies, and the use of achievements of digitization is an integral part of these strategies. One aspect of digitization is the increasing global development of e-commerce. The Hungarian online commerce have also been expanding significantly from year after year: based on 2018 data, domestic and foreign online sales volume have passed 1000 billion HUF. The Hungarian online consumers buy on the Internet more and more often and at greater and greater value. The online shopping on virtual reality platforms may make this purchase mode more experiential. Webshops have to meet new consumer needs, and deliver the ordered products as soon as possible, preferably within 24 hours. An increasing number of parcel delivery options has begun becoming more and more popular (e.g., automatic parcel terminals, pick pack points). However, traditional channels should not be buried, either. Their obvious advantage is that consumers can take their choice based on multiple senses and it also gives them more room for impulse buying. Combined with the digital technology compliant with contemporary requirements, this can offer a complete shopping experience. Nowadays, recognizing this need online and traditional channels have been mixed in several cases (e.g., multichannel, omnichannel, cross-channel sales) and offer several options for consumers during the purchase process. The sales area optimization of traditional shops and the buyer paths aided by digital technology (e.g., digital shelf labels) are designed for the buyers’ convenience. The newest innovations imply automation of the buying process making the whole process more convenient and more personalized with the use of sensors (e.g., Amazon Go) or robots (e.g., Pepper). In our future purchases, digital personal assistants will appear as digital versions of sales personnel.
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Calculations of Performance Losses for Automobile Vehicles
210-218Views:221Vehicle-energetic-models are used to analyze the performances and when a comprehensive structure is established even optimization could be done. For these kinds of models, the losses of the vehicles have to be known. These losses could significantly effect of the vehicle fuel consumption. From these losses the rolling resistance, drive elements and aerodynamic drag are discussed. This paper reviews some of the literatures that describes the calculation methods and gives us some idea about the degree of their value. Our further goals are to have an UpToDate loss coefficient dataset and calculation methods for further vehicle-energetic modelling.
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Parametric Programming Applied to the Optimal Production Structure in Determining
375-389Views:138The agricultural planning often the question arises, how the different input (fertilizer, feed, irrigation, etc) from what to use on a production (land, animals) unit basis, and to what intensity. The input transformational efficiency experiments by setting analysis and evaluation. For example examined the nutrient replenishers fertilization experiments, the effect of nutritional values of the feed on the body weight gain, milk production in animal experiments. The input input efficiency to the external environment (weather, soil conditions, unexpected events), the technology used and the biological factors both influence. The farmer must be chosen in each sector, taking into account the magnitude of these inputs and environmental requirements. The economic optimum is usually trying to approach the sectoral level, which serves as the basis for future planning data. The mathematical programming models using relatively simply and quickly determine the optimal production structure. The models provide the specific resource requirements for, and the limitations of the objective function coefficients are calculated on the basis of sectoral. This becomes a deterministic model, and we can get the appropriate sectoral analyzes outstanding results of production structures. Therefore the relationships within sectors directly incorporate mathematical programming model and corporate interests placed above the interests of the industry to determine the intensity of the sectoral inputs. in their article a fertiliser application example, we present the production structure and the plant production sector fertiliser input of a time optimization, in which the fertilizer for specified sectoral relationships appear in the model objective function.
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Role of Lean and Agile Supply Chain Models for Pellet Fuel Technologies
119-130Views:163Business organisations constantly strive to improve their processes, both internal and external. Within the supply chain of a product, different strategies can be applied. This paper aims to answer the basic questions like what is the core of lean and agile SCM strategies, what are the differences of the two models, and how can they be combined. This paper examines further, which of these SCM models and what elements of them can be applied for wood pellet supply chains, also examining the possibility of their combination. The result of these examinations is, that even though fuel pellets can be considered as simple commodity and not a very innovative product, diversity in input characteristics, optimization of fuel pellet technology process variables and changes in output market qualities and quantities need sometimes agile, flexible answer from pellet fuel SCM. The basically lean character of pellet fuel technologies and SCM can further enhanced by implementing agile SCM model elements, as is the increased integration of suppliers into the supply chain.
