Maintenance Expenditures Research Articles

Decentralized Patient-Centric Report and Medical Image Management System Based on Blockchain Technology and the Inter-Planetary File System.

Several academicians have been actively contributing to establishing a practical solution to storing and distributing medical images and test reports in the research domain of health care in recent years. Current procedures mainly rely on cloud-assisted centralized data centers, which raise maintenance expenditure, necessitate a large amount of storage space, and raise privacy concerns when exchanging data across a network. As a result, it is critically essential to provide a framework that allows for the efficient exchange and storage of large amounts of medical data in a secure setting. In this research, we describe a unique proof-of-concept architecture for a distributed patient-centric test report and image management (PCRIM) system that aims to facilitate patient privacy and control without the need for a centralized infrastructure. We used an Ethereum blockchain and a distributed file system technology called the Inter-Planetary File System in this system (IPFS). Then, to secure a distributed and trustworthy access control policy, we designed an Ethereum smart contract termed the patient-centric access control protocol. The IPFS allows for the decentralized storage of medical metadata, such as images, with worldwide accessibility. We demonstrate how the PCRIM system design enables hospitals, patients, and image requestors to obtain patient-centric data in a distributed and secure manner. Finally, we tested the proposed framework in the Windows environment by deploying a smart contract prototype on an Ethereum TESTNET blockchain. The findings of the study indicate that the proposed strategy is both efficient and practicable.

Quantitative relationships between ingested and intestinal flows of linoleic and alpha-linolenic acids, body weight and milk performance in mid-lactation dairy cows

Linoleic acid (LA) and alpha-linolenic acid (ALA) are essential fatty acids found in variable quantities in ruminant feedstuffs. Revision of French feed unit systems in 2018 has proposed the reassessment of energy requirements through a between-experiment approach expressing metabolisable energy supply as a function of the energy expenditures for maintenance and production, with these expenditures that reflect homeorhetic regulations. Based on the same approach, LA and ALA intake can be related to animal characteristics (i.e., BW) reflecting maintenance expenditures and secretion characteristics (i.e., milk yield, milk fat content and contents of LA and ALA in milk fat). Therefore, the objective of this work was to analyse the between-experiment relationships between ingested, duodenal, or absorbed flows of LA and ALA, BW and milk LA and ALA secretion by meta-analysis in mid-lactation dairy cows. These relationships were analysed using LA and ALA subsets of 96 and 99 experiments, respectively. Between-experiment regressions of daily flows of ingested, duodenal or absorbed LA and ALA on BW and milk LA and ALA flows were studied, with statistical unit defined as the mean of within-experiment treatments. For LA, the BW-associated coefficient was 0.019 (±0.0034) g absorbed LA/d per kg BW and milk LA secretion-associated coefficient was 0.70 (±0.081) g absorbed LA/g of LA secreted into milk. For ALA, the BW-associated coefficient was 0.0058 (±0.00093) g absorbed ALA/d per kg BW and milk ALA secretion-associated coefficient was 0.57 (±0.097) g absorbed ALA/g of ALA secreted into milk. When coding the diets as either control or milk fat depression diets, the BW-associated coefficient for LA was 0.017 (±0.0032) g absorbed LA/d per kg BW for both diets. For milk fat depression diets, milk LA secretion-associated coefficient was 1.02 (±0.119) g absorbed LA/g of LA secreted into milk, whereas it was 0.70 (±0.075) g absorbed LA/g of LA secreted into milk for control diets. Significant BW and milk performance coefficients were obtained in all LA and ALA equations, allowing the calculation of ingested and intestinal flows of LA and ALA based on measured BW, milk fat yield and milk fat content of LA and ALA. The relationships between ingested and intestinal flows of LA and ALA, BW and milk performance obtained in the present work could be integrated into renewed feed unit systems for energy and protein in dairy cows.

Real-Time Predictive Maintenance in Manufacturing: Leveraging IoT and Big Data Analytics

This study explores the effectiveness of the Manufacturing Industry of The Internet of Things (IoT) and Big Data Analytics in Predictive Maintenance. Traditional maintenance practices such as preventive or corrective maintenance are often unable to effectively alleviate unplanned downtime and operational inefficiency. Therefore, this paper proposes an approach to real-time IoT sensors combined with advanced data processing methods. By combining the strengths of machine learning algorithms like Random Forests and Support Vector Machines with an A/B testing framework aimed at improving prediction model performance, this comprehensive strategy will be better able to predict failure. In doing so, this approach promises both higher predictive accuracy and substantially lower operational expenses. Our research sets the stage for revolutionary changes in maintenance. We see the potential of large decreases in downtime and maintenance expenditures to come. Future research will be aimed at verifying these methods in various manufacturing environments and introducing the latest AI technologies to further hone predictive models. As such, this paper uses case studies from conventional industries to propose a basic structure for advanced IoT-driven predictive maintenance systems.

Validation of the UNICEF fiscal diagnostic tool for SDGs 6.1 and 6.2 in East and Southern Africa using the analytical hierarchy process (AHP)

Abstract The UN High Level Panel on Water notes that a total annual capital expenditure (CAPEX) of $114 billion of $129 billion is required globally to meet the safe drinking water and sanitation targets 1 and 2 of Sustainable Development Goal 6 (SDG 6). Annual operation and maintenance expenditure (OPEX) will increase, averaging $129 billion by 2030. In Sub-Saharan Africa, $36 billion is required and UNICEF estimates $15 billion is required to meet these targets in 21 countries in East and Southern Africa. Currently, only 15% of the financial investments in the sector are accounted for, which falls significantly short of delivering SDG 6. Consequently, innovative finance tools that maximise taxes, tariffs and transfers (3ts) are required to mobilise finances for the region's sector. This paper presents a diagnostic methodology for identifying bankable and blended finance projects in East and Southern Africa's water and sanitation sector. Potential projects were identified in Malawi, Mozambique and Ethiopia. Findings from applying the AHP (analytical hierarchy process) analysis recommend the use of the decision-making tool for prioritisation and selection of water and sanitation projects in the context of multiple projects requiring blended finance. The methods are applicable to other parts of Sub-Saharan Africa to enhance project pipelines whose collective cost and revenue mitigate investment risk.

Optimal techno-enviro-economic analysis of a hybrid grid connected tidal-wind-hydrogen energy system

The study deals with the techno-enviro-economic aspects of hydrogen production using polymer electrolyte membrane electrolysers powered by a hybrid grid-connected tidal-wind energy system. System modelling is presented initially. The energy management strategies for hydrogen production are then analysed as rule-based approach and as optimised approach. An objective function to maximise the operating profit under optimal system operation is formulated considering the variable energy costs, capital and maintenance expenditure, and real system constraints. A comprehensive cost analysis of the system is obtained by comparing two different optimisation approaches based on fixed cost and levelised cost factors, respectively. Towards reaching this goal, the use of mixed integer genetic algorithm optimisation is investigated. The operation of electrolyser in terms of its different operating modes, namely stop, running, and stand-by is presented. The dynamic optimisation of an electrolyser capable of working at up to twice its nominal rating for a limited duration is also analysed in the study. The results of the optimisation approach are 41.5% and 47% higher than the rule-based approach in terms of the annualised profit and carbon emission savings, respectively. In addition, the recurrent switching of electrolyser unit operating modes is avoided with the optimisation approach, reducing the associated energy consumption of about 27.2 MWh annually. The proposed model can be used as a generic tool for hydrogen production analysis under different contexts and it is especially applicable in high green energy potential sites with constrained grid facilities.

Debt financing and maintenance expenditure: Theory and evidence on government-operated toll roads in China

Transportation infrastructure is the foundation of economic growth, and the existence of high-quality roads is inseparable from their durable maintenance. However, the burden of heavy debt has brought risks to maintenance management and distorted resource allocation. This study builds a two-stage optimal theoretical model under different debt-financing constraints in China, who has the longest expressway mileage of any country in the world. We establish the two principles of “spend-and-debt” and “debt-and-spend” to demonstrate the substitution effect and the complementary effect of debt financing on maintenance, respectively. Furthermore, we use a time-varying differences-in-differences approach to estimate the effect of the financing of tollway bonds on maintenance and further discuss the mechanism. The results provide evidence that there is a significant improvement in the relationship between tollway bonds and maintenance expenditure, mainly due to the reduction of debt costs and the passive propelling of the government’s spending responsibility. Our proposed theoretical and empirical framework sheds new light on transportation infrastructure research. More specifically, the impetus for public expenditure comes from a decrease of the substitution effect, which not only alleviates the burden of debt scale on the public sector but also provides a reference for developing countries to balance infrastructure construction and maintenance. • We build a two-stage optimal model of debt and maintenance on China’s toll roads. • We propose spend-and-debt and debt-and-spend principles under varied constraints. • We newly estimate the policy effect of tollway bonds on maintenance expenditure. • The impetus for tollway bonds comes from the reduction of the substitution effect.

Investment in roads and traffic safety: linked to economic development? A European comparison

This study analyzes how economic resources invested in roads may affect mortality, depending on the level of economic development of a country. To this end, 23 European countries were classified into two groups—high-income countries and low-income countries—according to their average Gross Domestic Product (GDP) per capita over the period 1998–2016. The economic resources are considered through the investment in construction and the maintenance expenditure. Further variables are included to control for several factors related to the infrastructure, socioeconomics, legislation, and meteorology. Fixed-effects panel data models were built separately for the interurban road network of each group of countries. These models also capture the international inequalities within each group and the country-specific national trend for the study period. The main results indicate a reduction effect on the fatality rate of road maintenance expenditure (in both groups), and of the investment in construction (in the low-income countries). Other variables—such as proportion of motorways, motorization rate, unemployment rate, GDP per capita, alcohol consumption, Demerit Point System, and mean annual precipitation—showed statistically significant results as well. Finally, the country-specific fixed effects and the country-specific trend were mapped geographically, to better reflect national conditions for achieving lower fatality rates in the high-income countries, and greater progress in reducing fatalities in the low-income countries. In the end, this study provides evidence to policy-makers that can help to achieve a safer and more sustainable transport system, namely, how to tackle an ongoing major problem—traffic-related deaths—when attending and allocating the economic resources that road infrastructure needs.

Influence of Insulation Stand-Off Membranes and Moisture Drainage on the Corrosion Under Insulation Behavior of Out-of-Service Carbon Steel Piping

Corrosion under insulation (CUI) is reported as being the driver behind the majority of failures in thermally insulated process piping and poses significant maintenance expenditures and service interruptions. Small-bore pipes are more prone to failure from CUI due to their lower wall thickness and lower surface area in comparison to larger diameter pipes. This research work simulates the CUI behavior of small-bore piping over a 12-month period in outdoor settings to mimic the out-of-service conditions in an industrial field setting. For this, two sets of assemblies were made which comprised fibrous stone wool insulations applied over the carbon steel coupons with and without stand-off membranes and low-point drain. Both assemblies were presoaked via submerging in water and tested in outdoor conditions for 12 months followed by insulation removal and detailed characterizations. Corrosion behaviors of steel coupons were studied using weight loss, pit depth measurement, surface profile topography, and scanning electron microscopy, whereas chemical compositions of the corrosion products were investigated using x-ray diffraction. Corrosion rates derived from mass loss data were compared with those calculated using the semi-quantitative risk-based inspection method. The kinetics behind the formation of various corrosion products are also discussed. The stand-off membranes and low-point drain resulted in the reduced time of wetness (i.e., moisture exposure time) that in turn resulted in the domination of lepidocrocite (γ-FeOOH) along with reduced uniform metal loss rate and reduced pit depth in comparison to conventional closed-contact insulation system.

THE EFFECT OF FIXED ASSETS VALUE, REGIONAL ORIGINAL INCOME AND CAPITAL EXPENDITURES ON MAINTENANCE EXPENDITURES IN THE DISTRICT/CITY OF SOUTH SUMATRA PROVINCE

The government gives freedom to each region to regulate its own government affairs, including the distribution of development funds with the aim of maintaining the continuity of government and improving the quality of public services. The allocation of capital expenditures related to adequate maintenance expenditures is very important to maintain the state of government assets so that they can function properly. Every year, various government work units have budgeted the allocation. However, the allocated budget is sometimes too large, resulting in excess funds and cannot be maximized for other priority expenditures. The purpose of this study is to determine the effect of Fixed Assets partially on Maintenance Expenditure. The research method is basically a scientific way to obtain data with certain purposes and uses.” The type of research used in this research is quantitative method. Quantitative research methods can be defined as research methods based on the philosophy of positivism, used to examine certain populations or samples, data collection using research instruments, statistical quantitative data analysis, with the aim of testing hypotheses that have been determined. In accordance with the provisions of the Decree of the Minister of Finance of the Republic of Indonesia Number 01/KM.12/2001 concerning Guidelines for Capitalization of State Owned Assets in the Government Accounting System as regulated again through Minister of Finance Regulation Number 181/PMK.06/2016 concerning Administration of State Owned Goods, the condition of fixed assets is grouped into good, lightly damaged and heavily damaged. Conclusion: Partially Fixed Asset Value (X1) has no effect and is not significant on Maintenance Expenditure (Y) in the Regency/City of South Sumatra Province. Regional Original Income (X2) has no effect and is not significant on Maintenance Expenditures in the Regency/City of South Sumatra Province.

Development and axial behavior of precast concrete wrapped square steel tube columns

Conventional thin-walled square steel tube columns are vulnerable to local buckling, carbon steel is susceptible to corrosion, and complicated fireproof measures increase the maintenance expenditures. As a result, a novel composite component, namely precast concrete wrapped square steel tube (PCWST) column is developed in this study. Seven PCWST columns subjected to axial compression load were investigated experimentally with different width-to-thickness ratios, specimen sizes, types and configurations of shear connectors in comparison to three square steel tube columns. The distinctive behavior of PCWST columns and square steel tube columns included failure modes, axial load-axial shortening responses, stiffness, buckling respond, load-carrying capacity and ductility were compared. Based on experimental results, nonlinear finite element (FE) models with full detailing were established and validated. Meanwhile, a simplified formula for predicting the load-carrying capacity of PCWST columns was proposed. Tested and simulated results show that steel tube and reinforced concrete (RC) encasement worked together for PCWST columns, and the head studs and the developed kinked rebars can enhance their interaction. The existing of RC encasement dramatically improves stiffness and load-carrying capacity, and it also delays the occurrence of local buckling of steel tubes.

Tensile Roof Structure

Membrane Structures are highly popular in architectural design now a days. There is trend of using membrane structures. It satisfies both attractive architect’s design as well as structural design. The preliminary type of structure most commonly used by man was Tents. As the name suggests, Tension fabric structures utilize fabric in complete tension, as a primary building material. Every part of structure is loaded only in tension with no requirement to resist bending or compression. Soap film model is the classic example of Tensile Structures. Assembly of tensile membrane structures creates a unique structural system, indeterminate in its behavior and nonlinear in its deflection patterns. Tensile structures are gaining popularity due to their light weight, structural efficiency, serviceability, aesthetic appearance, installation and dismantling feasibility, climate regulation effects and less maintenance expenditures. Due to its light weight and stretch property, they can be used on places such as stadiums, large parking etc. Computer aids like Form Finder, Dlubal RFEM and AutoCAD is used for modeling and analysis.

Influence of road investment and maintenance expenses on injured traffic crashes in European roads

This study analyses the influence of economic resources invested in road infrastructures, both in construction and maintenance, upon injured traffic crashes. Furthermore, a set of control variables related to diverse factors was added: infrastructure, socioeconomics, meteorology and legislation. Consistent with this, a panel data model for the inter-urban network of 20 European countries was built, thus contributing to the literature with a study covering different countries and taking into account the possible effect of traffic regulation changes and alcohol consumption. As significant results, an inverse relationship with the injured traffic crashes has been obtained for the variables of maintenance expenditure, unemployment rate, per capita income and demerit point system, and a direct relationship for investment in construction and alcohol consumption. All things considered, allocating economic resources to road maintenance may be an effective tool to develop of a more sustainable and safer road transport system.

Pengaruh Belanja Modal, Belanja Pemeliharaan serta Belanja Barang dan Jasa Terhadap Realisasi Anggaran Pemerintah Desa

This study aims to examine the effect of capital expenditure, maintenance expenditure, and goods and services expenditure on the realization of the village government budget. The basis of this research is Village Law No.6 which demands village transparency on the realization of the DD Budget to the community. The data used in this study are primary data using a questionnaire method. The object of this research is the village government in the electoral area II of the Banyuwangi Regency. The number of the objects of this research is 54 villages, and the respondents in this study are the village treasurers. The sample used is full sampling, where all populations are used as criteria and analyzed using classical assumption techniques, multiple linear regression analysis, and hypothesis testing. The results of this study partially with the test show that capital expenditure has a positive effect on the realization of orchids, maintenance expenditure has no effect on budget realization, and goods and services expenditures have no effect on budget realization, while simultaneously with the F test it shows that capital expenditure, expenditure Maintenance and Expenditures for Goods and Services affect the Budget Realization.

Prediction of Pavement Maintenance Performance Using an Expert System

The pavement experiences deterioration due to traffic and environment, i.e., unsatisfactory riding quality and structural inadequacy, over time. Thus, predicting pavement performance over time is one of the key elements of any pavement maintenance management system (PMMS). It can be used as an efficient tool to program/schedule the maintenance applications and expenditures, and thus the necessary funds can be allocated. Using a combination of independent variables for any selected pavement section can generate section-wise condition assessment and prediction models. Moreover, these models can be used to select the most cost-effective maintenance alternative to be applied to that pavement section. The present study developed an expert system based on pavement performance models which combines the available maintenance data with the knowledge acquired from the experts of the General Administration of Operation and Maintenance in Riyadh, Saudi Arabia. Eight regression models were first developed for four maintenance and rehabilitation (M&R) strategies, i.e., no maintenance, routine maintenance, overlay, and reconstruction for low and high traffic. Then, a practical expert system was developed to aid pavement maintenance engineers in finding the most effective and efficient M&R strategies and suitable time for the application. The regression models revealed that the effect of routine maintenance and reconstruction is greater in low traffic than in high traffic, while the effect of overlay is greater in high traffic than in low traffic. Based on this initial system, another improved one can be developed using the machine learning technique.

The Effect of Roll Maintenance Costs on Kiln Machines on the Efficiency of Expenditure on PT. XYZ

XYZ is a company engaged in the ceramics industry. One way maintenance is carried out on production machines is to use the cost of maintenance expenditure which aims to streamline and expedite the production process of both quality and quantity. In this study the cost pemeliharaan yang done is on a production machine roller kiln kiln mainly because if not maintained can quickly roll the kiln was dirty and broken so that it can directly increase the cost of expenditures (the smaller the efficiency of expenditures) for the purchase of a new kiln roll to replace the roll kiln dirty and broken. The method used in this study to determine the effect of roller kiln maintenance costs on the efficiency of spending is a statistic that is a quantitative method with simple linear regression (two variables). From the research results obtained regression equation y = 0.379 +1.110 X diliat coefficients table from SPSS, Efficiency of expenditure will be worth 0.379 if the company no roll maintenance costs. Each one-time increase in the cost of engine maintenance roll kiln then the efficiency corporate spending rose by 1.110. The cost of engine maintenance roll kilns have strong relationships with significant spending efficiency by 97.9% results from SPSS can diliat model summary table, the efficiency of spending can be influenced by other factors is the use of EUT. Average roll kiln is unplugged as much as 105.73 in round roll 106 at a price of Rp 300,000 a roll when not using the average maintenance cost per month can pay for purchases of new roll of 106 x 300 000 = 31.8 million. If using the maintenance costs (usage Grinding stone) at a price of Grinding stones, Rp. 1.800.000 to clean up the dirty roll kiln as many as 100-150 stems roll is clearly more efficient in spending compared With no use of maintenance costs

Benchtop versus high field NMR: Comparable performance found for the molecular weight determination of lignin

Lignin is a promising renewable biopolymer being investigated worldwide as an environmentally benign substitute of fossil-based aromatic compounds, e.g. for the use as an excipient with antioxidant and antimicrobial properties in drug delivery or even as active compound. For its successful implementation into process streams, a quick, easy, and reliable method is needed for its molecular weight determination. Here we present a method using 1H spectra of benchtop as well as conventional NMR systems in combination with multivariate data analysis, to determine lignin’s molecular weight (Mw and Mn) and polydispersity index (PDI). A set of 36 organosolv lignin samples (from Miscanthus x giganteus, Paulownia tomentosa and Silphium perfoliatum) was used for the calibration and cross validation, and 17 samples were used as external validation set. Validation errors between 5.6% and 12.9% were achieved for all parameters on all NMR devices (43, 60, 500 and 600 MHz). Surprisingly, no significant difference in the performance of the benchtop and high-field devices was found. This facilitates the application of this method for determining lignin’s molecular weight in an industrial environment because of the low maintenance expenditure, small footprint, ruggedness, and low cost of permanent magnet benchtop NMR systems.

Assessing maintenance budget elements for building maintenance management in Nigerian built environment: a Delphi study

PurposeA maintenance budget is an element of maintenance management (MM) that deals with financial planning for maintenance operations and execution within a maintenance organisation. Developed countries have standardised MM structures which guides maintenance activities. This, however, cannot be said of developing countries, as there are few or no MM standards adopted. Given this contextual setting, the study aims to validate the relevance of maintenance budget (MB) elements utilised in developed countries for developing countries – using Nigeria as a case study exemplar. Also, the study further examines the effectiveness of the validated maintenance budget elements.Design/methodology/approachThe research adopts qualitative techniques and employs the Delphi survey to collect and analyse primary data from an operational perception through structured questionnaires to solicit views from panellists on the subject being assessed. A relative importance index (RII) was used in measuring consensus for the Delphi study outcomes, while a Cronbach Alpha test was carried out on all the MB elements to determine their level of reliability.FindingsThe key finding from the study reveals that of the 21 elements that influence the implementation of MB, 10 elements have a very high influence on the MM of buildings (VHI: 9.00–10.00), 5 elements had a high influence (HI: 7.00–8.99) and 6 other elements scored medium impact (MI: 5.00–6.99). The elements of MB that recorded very high influence on prompt MM effectiveness include MB implementation, corruption-free maintenance process, reduction in maintenance expenditure, maintenance financial plan, cost implication of maintained asset, cash flow indexing, prioritisation of maintenance financing, maintenance funding, incorporation of financial indicators and audit of operational maintenance cost.Practical implicationsOn a practical note, these elements will guide the built environment professionals in organising maintenance activities to best use limited resources.Originality/valueCumulatively, the research presented shows that these elements are similar to those of other countries. Effective MM of buildings is assured when these elements are integral to developing a MB.

Prognostic modelling for industrial asset health management

Failure prognostics and health management are central to the Remaining Useful Life (RUL) estimation of critical engineering assets, particularly to improve safety, reduce downtimes and maintenance expenditures. Over recent years, several prognostic approaches have been developed to predict remaining asset lifetime, optimise maintenance schedules, and enhance equipment availability and reliability. While academic research in this area has grown rapidly, implementations of these methods by industry’s asset managers and reliability experts have only had limited success. Yet asset lifetime and reliability analysis are only restricted to the conventional reliability-centred maintenance and total productive maintenance approaches in industries. The purpose of this paper is to emphasise a need for a paradigm shift in industrial asset health management from the conventional to modern approaches that would benefit industries. At first, this paper classifies existing prognostic techniques into the traditional reliability, model-based, and data-driven approaches. Each prognostic approach is then analytically discussed with emphasis on models and algorithms. Consequently, this paper explores the strengths and weaknesses of main models in these groups to assist industry practitioners to select an appropriate prognostic model for RUL prediction within their specific business environment. Finally, the paper concludes with a brief discussion on possible future trends and further research directions in this field.

Evaluation of defect in hospital buildings

There are many complaints and criticisms in media and research literature on defects in hospital buildings despite the consistent increase in maintenance expenditures. This research investigated the nature of defects in private hospital buildings. Primary data for the study were collected through a survey questionnaire administered to hospital building users. Based on the findings, the defects that often require frequent maintenance are leaky faucets, defective doors, defective windows, broken lights, and faulty ventilation. The major conclusion drawn from the survey was that although there are many different defects in the buildings, the urgency at which they require maintenance interventions varies. Therefore, in order to avoid value mismatch and resource misallocations, resources and attention should be directed to the defects that are more important to the users and the other should be included in the next maintenance rolling programme. Maintenance management should be implemented to achieve good maintenance, capable to meet the expected requirements of the end-user and increase building performance and reduce the maintenance backlog.

Curved Turnouts for Curves of Various Radii

A methodology for calculation is proposed on the basis of the analysis of actual operating state and conditions of turnout points in order to develop a model range of curved turnouts that would meet the practical part of the radii. The key idea behind the development of such turnouts is to design specific switching points for curved parts of railway tracks that could reduce maintenance expenditures on curved turnouts and increase, if necessary, the travel speed through turnouts up to the ones when rounding a curve. The analysis of the data showed that the smallest shifts take place at small radii of easement curves. A general analysis of all calculation data is also made suggesting that it is advisable to lay concrete-beamed curved turnouts in curves of radii, which are larger or equal to those of the main track. In order to narrow the model range of concrete-beamed curved turnouts, there is examined a feasibility of precise alignment of turnouts and easements in curves, which corresponds well with the model range of curved turnouts on wooden beams. There is given a radius gradation as well as recommendations on laying-in of curved turnouts in order to meet any curve radius, where a turnout can be installed.