Industrial Cost Research Articles

Economic supply chain modelling of industrial insect production in the Netherlands

Abstract Defatted larvae meal (dLM), specifically from black soldier flies, could help overcome the animal protein gap. As insect production is an emerging sector, current economic research is scarce and very diverse. Thus, the aim of this research was to develop a simulation model that enables the analysis of full industrial scale costs of producing dLM and to provide insight in the distribution of these costs in the insect supply chain. The deterministic supply chain model is built on three modules, technical, transition and economic module, which all follow a previously defined supply chain structure and allow to extract quantity and price information for intermediate or final products. The model was parameterized and checked for plausibility in multiple consultation rounds with the INSECTFEED consortium and business partners. Additionally, model behaviour was checked with scenario, sensitivity, and break-even price analyses. In the default situation 5.57 tDM raw substrate and 26.7 million neonates are required to produce 1 tDM dLM for a price of €5,116/tDM. Most costs are added in the raw substrate delivery (€1,952/tDM) and production and collection (€821/tDM) step. Important cost factors are the raw substrate (€1,939/tDM) and building and inventory (€1,459/tDM). Parameters with high relative response rate towards the price of dLM are the feed conversion rate, dry matter percentage of larvae, raw substrate price, larvae density, labour wage and growth rate. To reach break-even prices for substituting fish meal with alive grown larvae (AGL) (€1,318/tDM AGL), improving production parameters is not sufficient. Just changing prices of raw substrate to −€78/tDM or frass to €1,175/tDM would enable a profitable operation. However, these are not deemed as realistic in mass production. Although there is some insecurity in data, the model results are the most realistic representation of industrial scale production amounts and costs.

The impact of energy transition on distribution network costs and effectiveness of yardstick competition: an empirical analysis for the Netherlands

We assess the impact of regional differences related to energy transition on average costs and allowed revenues for a panel of Dutch electricity distribution system operators (DSOs) subject to yardstick competition. Yardstick competition entails that the allowed revenues of DSOs are based on the average costs of the entire industry, which requires that these DSOs are comparable. This comparability requirement is challenged by the penetration of distributed generation and other distributed energy resources, which may cause regional differences among DSOs. Estimating an average-cost function for the entire population of Dutch DSOs for the period 2012–2020, we find that the installed capacity of solar PV, installed capacity of on-shore wind and number of public electric-vehicle charging points have a significant effect on unit costs of DSOs. If yardstick competition does not take these effects into account, the allowed revenues for some DSOs (having above-average shares of energy-transition variables) are too low, whereas allowed revenues for other DSOs (having below-average shares of energy-transition variables) are too high. We find that taking the impact into account can change the price caps of individual DSOs with a percentage up to around 20%.

Abstract A034: A new international program to accelerate novel therapeutics for brain tumors: presenting the brain tumor research novel therapeutics accelerator

Abstract Each year, we see many journal manuscripts highlighting successful pre-clinical experiments for potential new brain tumor therapies. Only a few of these therapies move forward into successful clinical trials. Indeed, developing a comprehensive translational program covers many aspects, including but not limited to, medicinal chemistry, blood brain barrier penetration, tumor heterogeneity, delivery, commercialization, and navigating the regulatory environment. Because of this, bringing a successful translational project from bench to bedside requires access to a diverse set of cutting-edge expertise to give promising therapies the best chance of succeeding. Recognizing that this journey is not easy to navigate, the Tessa Jowell Brain Cancer Mission has launched an international Brain Tumor Research Novel Therapeutics Accelerator (BTR-NTA). This program is led by an international group of drug development and brain tumor experts who provide independent guidance to researchers to position their therapeutic along a realistic pathway to clinical trials. The BTR-NTA is open to any international academic and industry researchers developing a medicinal product, delivery technology or device for brain tumors. The BTR-NTA welcomes groups at any stage of pre-clinical or clinical work. Academics and smaller biotech’s could benefit from feedback on their pre-clinical studies and plans for commercialization, while larger pharmaceutical companies could benefit from access to brain tumor specific expertise and patient input into clinical trial design. Researchers can apply to BTR-NTA twice a year, and if accepted will go through the following process: 1. Complete an application form covering work to date and future plans under strict confidentiality agreements; 2. Attend an in-person meeting with a tailored group of experts to further discuss their work; and 3. Receive a comprehensive written report from the BTR-NTA committee with feedback on strengths and weaknesses and guidance on next steps. The expert committee dedicates half a day to reviewing the applicants’ work in-person, and extensive time pre- and post-meeting. Throughout the process, applicants receive up to 150 hours of expert input. The multidisciplinary nature of the review committee spans the entirety of the drug development pathway to support longitudinal collaboration and avoid a siloed approach to research. The BTR-NTA was designed after a similar program in another rare disease field yielded impressive results. Thanks to charitable funding, the BTR-NTA is free to academics and at low cost for industry. The BTR-NTA aims to help address barriers for researchers by highlighting potential pitfalls or risks, providing multi-disciplinary feedback on work to date, giving constructive guidance on next steps and strengthening international collaboration in the brain tumor field. The ultimate goal of the BTR-NTA is to enable researchers with therapy for brain tumors to navigate the drug development journey and make it to the clinic in a low-cost and timely way. Citation Format: Nicky Huskens, Charlotte Aitken, Katie Bushby. A new international program to accelerate novel therapeutics for brain tumors: presenting the brain tumor research novel therapeutics accelerator [abstract]. In: Proceedings of the AACR Special Conference on Brain Cancer; 2023 Oct 19-22; Minneapolis, Minnesota. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_1):Abstract nr A034.

Octadecyl and sulfonyl modification of diatomite synergistically improved the immobilization efficiency of lipase and its application in the synthesis of pine sterol esters.

Phytosterols usually have to be esterified to various phytosterol esters to avoid their disadvantages of unsatisfactory solubility and low bioavailability. The enzymatic synthesis of phytosterol esters in a solvent-free system has advantages in terms of environmental friendliness, sustainability, and selectivity. However, the limitation of the low stability and recyclability of the lipase in the solvent-free system, which often requires a relatively high temperature to induce the viscosity, also increased the industrial production cost. In this context, a low-cost material, namely diatomite, was employed as the support in the immobilization of Candida rugosa lipase (CRL) due to its multiple modification sites. The Fe3 O4 was also then introduced to this system for quick and simple separation via the magnetic field. Moreover, to further enhance the immobilization efficiency of diatomite, a modification strategy which involved the octadecyl and sulfonyl group for regulating the hydrophobicity and interaction between the support and lipase was successfully developed. The optimization of the ratio of the modifiers suggested that the -SO3 H/C18 (1:1.5) performed best with an enzyme loading and enzyme activity of 84.8mg·g-1 and 54 U·g-1 , respectively. Compared with free CRL, the thermal and storage stability of CRL@OSMD was significantly improved, which lays the foundation for the catalytic synthesis of phytosterol esters in solvent-free systems. Fortunately, a yield of 95.0% was achieved after optimizing the reaction conditions, and a yield of 70.0% can still be maintained after six cycles.

Polyolefin-Based Smart Self-Healing Composite Coatings Modified with Calcium Carbonate and Sodium Alginate.

Corrosion-related damage incurs significant capital costs in many industries. In this study, an anti-corrosive pigment was synthesized by modifying calcium carbonate with sodium alginate (SA), and smart self-healing coatings were synthesized by reinforcing the anti-corrosive pigments into a polyolefin matrix. Structural changes during the synthesis of the anti-corrosive pigment were examined using scanning electron microscopy (SEM) and X-ray diffraction (XRD) analysis. Moreover, thermal gravimetric analysis confirmed the loading of the corrosion inhibitor, and electrochemical impedance spectroscopic analysis revealed a stable impedance value, confirming the improved corrosion resistance of the modified polyolefin coatings. The incorporation of the anticorrosive pigment into a polyolefin matrix resulted in improved pore resistance properties and capacitive behavior, indicating a good barrier property of the modified coatings. The formation of a protective film on the steel substrate reflected the adsorption of the corrosion inhibitor (SA) on the steel substrate, which further contributed to enhancing the corrosion resistance of the modified coatings. Moreover, the formation of the protective film was also analyzed by profilometry and elemental mapping analysis.

Identifying Causes of Pressure Drop in Heat Exchanger E-204

This study investigates the efficacy of preventive maintenance measures on the E-204 Plate Heat Exchanger (PHE) to mitigate pressure drop issues affecting production efficiency and operational costs in the petrochemical industry. The research identifies gasket leaks and plate blockages as primary contributors, attributed to wear and dirt deposits. Through periodic inspections, gasket replacements, and mechanical and chemical cleaning, maintenance interventions were executed. Results demonstrate a significant reduction in gasket blockages and leaks, leading to improved fluid flow and operational efficiency. The findings underscore the importance of regular preventive maintenance in ensuring optimal PHE performance and cost-effective operations. Highlight : Maintenance Intervention: Periodic inspections, gasket replacements, and mechanical and chemical cleaning were implemented to address gasket leaks and plate blockages. Enhanced Efficiency: The study resulted in a significant reduction in gasket blockages and leaks, leading to improved fluid flow and operational efficiency. Implications for Industry: Regular preventive maintenance is crucial for optimal performance and cost-effective operations in petrochemical production processes. Keywords: Plate Heat Exchanger, Preventive Maintenance, Efficiency Improvement, Gasket Leaks, Petrochemical Industry

Optimization of Magnetic Pump Impeller Based on Blade Load Curve and Internal Flow Study

Compared to traditional centrifugal pumps, magnetic pumps are widely used in industries such as chemical, pharmaceutical, and petroleum due to their characteristics of leakage-free operation and the ability to transport toxic and corrosive fluids. However, the efficiency of magnetic pumps is relatively low. Improving the efficiency of pumps helps to reduce energy loss and lower industrial costs. In this study, a magnetic pump was chosen as the research subject. The study aims to improve the efficiency and stability of the magnetic pump by optimizing the impeller blades based on the load curve. A combined approach of a numerical simulation and experimental verification was used to investigate the impact of the anterior loading point (AL), posterior loading point (PL), and slope (SL) in the blade loading curve on the pump’s performance. The slope, which had the most significant impact on pump performance, was selected as the dependent variable to analyze the internal pressure pulsation and main shaft radial force of the magnetic pump. The research found that the hydraulic performance test results of the magnetic pump were in good agreement with the simulation results. When efficiency is used as the optimization objective, the anterior loading point should be moved as far back as possible, and the posterior loading point should be moved as far forward as possible. Through the study of internal pressure fluctuations and radial forces within the pump, the radial force distribution is sequentially as follows: the anterior loading method, posterior loading method, and middle loading method at a rated flow rate. The maximum pressure pulsation amplitude was near the volute casing diffuser area. Compared to the original pump, the optimized magnetic pump showed a 5.05% improvement in hydraulic efficiency under the rated conditions. This research contributes to enhancing the performance and efficiency of magnetic pumps, making them more suitable for various industrial applications.

Microstructural Design and Mechanical Enhancement of δ-TRIP Steel Through Mo Micro-alloying and Isothermal Bainitic Transformation

This research was done to investigate third-generation Advanced High-Strength Steel (AHSS) to improve mechanical properties and reduce production costs in the automotive industry. The potential of TRIP-assisted steel has been studied to address this issue, with a special focus on δ-TRIP steels. This research studied the δ-TRIP samples, which were micro-alloyed with 0.05 and 0.30 wt.% Mo, with isothermal bainitic transformation (IBT) time parameters. Microstructural analyses were conducted using optical microscopy (OM), field emission scanning electron microscopy (FE-SEM), and energy-dispersive X-ray spectrometry (EDX). The volume percentage of retained austenite (RA) phase, critical to achieving the requisite mechanical characteristics, was determined using X-ray diffraction (XRD). The analysis of the samples revealed a complex, multi-phased structure comprising δ-ferrite matrix, α-ferrite, bainite, RA, and martensite. The quantity and morphology of RA significantly influenced the resulting mechanical characteristics. The experimental results demonstrated yield stresses (YS) of 400–440 MPa, ultimate tensile strength (UTS) of 790–870 MPa, and total elongations to failure (TEL) of 24–34% in δ-TRIP steels containing 0.05 and 0.30 wt.% Mo alloy. The optimal combination of UTS and TEL (UTS × TEL) is achieved at an impressive 850 MPa × 32% (27200 MPa.%). This remarkable achievement was made possible by adding only 0.30 wt.% Mo and IBT, which were carried out at 450°C for 10 min. Focusing on the effects of Mo-alloy content and heat treatment duration on microstructure and mechanical characteristics, this study provided insights into enhancing the quality of δ-TRIP steel while decreasing manufacturing costs.

Modeling Price Policy of Industries within the Frames of Inter-Sectoral Balance Methodology

The subject of inter-sectoral balance has been adequately developed in scientific community, however, we think that insufficient attention was paid to inserting price rates of industries in the model of inter-sectoral relations, as they produce a serious impact on making decisions concerning each industry production. The article deals with working-out a mathematic approach to modeling industry behavior in view of price policy development. The theoretical base of the research was formed by key provisions of the economic theory and the theory of inter-sectoral balance. The authors analyze dynamics of product prices set by industries with regard to inter-sectoral dependence and respective changes in output, added value, margin and volumes of sold products in each industry. As a result of the research the inter-sectoral model of shaping price policy of industries was built, which takes into account parameters of demand and urge of every industry for maximum profits. Different scenarios of changing demand parameters and production interactions were studied. Model experiments allowed authors to come to the conclusion that a rise in demand for one industry product cannot always increase production of related industries. As product price in the industry goes up, costs of other industries also rise, which can have an adverse effect on their product demand on the part of end customer. And on the contrary, a drop in demand for one industry product can support other related industries on constant demand factors at the expense of cost cutting. The proposed model could be useful for private and state sectors in planning investment policy at the same time it could reveal macro-economic trends, which is necessary to resolve problems of tardy or inadequate response of business entity on possible risks.

Camelina sativa (L. Crantz) products; an alternative feed ingredient for poultry diets with its nutritional and physiological consequences.

Due to increased demand for common feedstuffs such as corn, soybean and fish meals for poultry diets, the search for alternative sources of energy and protein for feed production could help to reduce production costs in the commercial poultry industry. Camelina sativa might be considered a new source of protein, energy and n-3 fatty acids (FA) in poultry diets. The oil content of camelina seeds (CS) is about 35 to 40%. Approximately 50% of this oil is composed of polyunsaturated FA. Moreover, camelina meal (CM) has 16% crude fat. The major n-3 FA of CS and CM is α-linolenic acid (about 30%) which is considered to be nutritionally important. The oil contains other bio-active compounds such as γ-tocopherol, flavonoids and phenolic compounds. Camelina seeds and meal can produce 6258 and 5110 kcal/kg of gross energy, 245-292 and 315-398 g/kg crude protein and 248 and 127 g/kg crude fibre, respectively. However, CS and CM contain 21.77 and 28.08 μmol/g glucosinolates and 12.10 and 12.93 TIU /mg trypsin inhibitors, respectively as anti-nutritional factors (ANFs) that can affect poultry performance adversely. Overall, dietary inclusion of camelina products will supply energy and protein for bird, enhance the antioxidant capacity and lipid stability of poultry products and provide health-promoting n-3 FA and tocopherol rich-foods to humans. However, raw CS contains some ANFs, and its maximum safe level (MSL) is 5% meal or seed, and 2% oil for all type of birds. Hence, it is necessary to establish suitable techniques for removing anti-nutritional factors from CS and increase its MSL in poultry diets.

Toward Digitalization of Fishing Vessels to Achieve Higher Environmental and Economic Sustainability.

Fishing vessels need to adapt to and mitigate climate changes, but solution development requires better information about the environment and vessel operations. Even if ships generate large amounts of potentially useful data, there is a large variety of sources and formats. This lack of standardization makes identification and use of key data challenging and hinders its use in improving operational performance and vessel design. The work described in this paper aims to provide cost-effective tools for systematic data acquisition for fishing vessels, supporting digitalization of the fishing vessel operation and performance monitoring. This digitalization is needed to facilitate the reduction of emissions as a critical environmental problem and industry costs critical for industry sustainability. The resulting monitoring system interfaces onboard systems and sensors, processes the data, and makes it available in a shared onboard data space. From this data space, 209 signals are recorded at different frequencies and uploaded to onshore servers for postprocessing. The collected data describe both ship operation, onboard energy system, and the surrounding environment. Nine of the oceanographic variables have been preselected to be potentially useful for public scientific repositories, such as Copernicus and EMODnet. The data are also used for fuel prediction models, species distribution models, and route optimization models.

Academic publishing behavior and pay across business fields

AbstractAcademic finance faculty earn a premium relative to other business school faculty. We show that the rewards to publishing outside of the top journals (JF, JFE, RFS) are significantly lower in finance relative to a broader set of journals in other business school fields. Revealed preferences from a journal submission survey suggest these incentives influence behavior. We estimate a lower unconditional probability of a top publication in finance, which raises its marginal value, leading to higher compensation. The opportunity cost of academic finance versus industry is also larger relative to other departments. Our results complement a number of recent studies on the rise of finance industry wages and suggest a novel channel that raises the production costs of finance‐educated workers.

BUILDING INFORMATION MODELLING: OPPORTUNITIES, CHALLENGES, AND FUTURE DIRECTIONS

Building Information Modelling (BIM) is a technological revolution that provides civil engineers with a central digital means of managing their design construction and facilities management tasks. The primary objective of this research is to comprehensively analyze the role and impact of BIM in civil engineering. The study highlights the benefits, challenges, and prospects regarding BIM. This study underlines the main implementation issues, which had been identified in the previous research in cross-sectional, qualitative, and quantitative studies related to BIM implementation and approaches for solving them. Additionally, it provides a way of recognizing and explaining the tangible effects of the BIM application on project management, work progress, cost, and cooperation in the construction industry. The results of notable research and case studies are surveyed in order to recognize practical scenarios that can be related to BIM project management.

Development of a Novel Energy Saving and Environmentally Friendly Starch via a Graft Copolymerization Strategy for Efficient Warp Sizing and Easy Removal.

Warp sizing is a key process in textile production. However, before the yarn/fabric finishing, such as dyeing, the paste adhering to the warp must be eliminated to ensure optimal dyeing properties and the flexibility of the fabric. Therefore, the sizing will often consume a lot of energy and produce a lot of industrial wastewater, which will cause serious harm to the environment. In this study, we have developed an energy saving and environmentally friendly starch-based slurry by modifying natural starch with acrylamide. The paste has excellent viscosity stability and fiber adhesion, and exhibits excellent performance during warp sizing. In addition, the slurry has good water solubility at 60-70 °C, so it is easy to desize at low temperatures. Because of this, the sizing of the warp can be deslimed directly from the yarn during subsequent washing processes. This work can not only reduce some costs for the textile industry, but also achieve the purpose of energy conservation and emission reduction.

Prediction of wellbore sand production potential from analysis of petrophysical data coupled with field stress: a case study from the Shah-Deniz gas field (Caspian Sea Basin)

Identifying the optimal azimuth and inclination for wellbore drilling in sandy formations can be considered a valuable aid in reducing sand production risks, lost time, and decreasing drilling costs in the petroleum industry. Therefore, a numerical systematic approach was provided to predict sand production in wellbore SDX-5, drilled in a deep-water sandstone reservoir in the Shah-Deniz gas field (South Caspian Basin), which has never been done previously. Additionally, this systematic approach uses geomechanical and geodynamical criteria, along with petrophysical information (density and sonic log) and tectonic characteristics of the study area, which are influenced by the active tectonic stresses of the Apsheron-Balkhan zone. The subsurface data sources employed are more eco-friendly, available, and continuous than experimental tests. The computations conducted achieved azimuth, inclination, polar, and depth profile plots for the Lower Balakhany Formation. The calculations reveal that the optimum azimuth for the wellbore drilling trajectories is parallel to SHmax and oblique drilling to near horizontal is the result of optimum inclination. Polar plots showed optimum azimuth, inclination, and effect of wellbore trajectory on critical collapse pressure and collapse drawdown pressure with pressure values simultaneously, which identify safer alternatives for achieving higher petroleum production rates without sanding. Depth profile plots provide a simultaneous overview of the values of critical collapse pressure, critical sanding pressure for instantaneous drawdown, and optimum wellbore production pressure during drilling and production operations. Moreover, optimum reservoir fluid production (maximum discharge) rates can be identified and imposed as upper limits to prevent sand production.

IMPROVEMENT OF THE CLEANING SYSTEM OF OIL GAS FLOWS USING AN AERODYNAMIC INSERT

Air pollution is becoming a problem due to inefficient technological processes that accompany the mechanical processing of solid materials in various industries, including metalworking and woodworking, coal enrichment, coal burning in thermal power plants, metallurgy and construction materials industries. The problem is relevant for cement factories, since some of them use outdated equipment. Fine dust in this context becomes particularly important because the particle size of this dust affects the quality and grade of the concrete produced. Given the specifics of cement production and the goals of our research, which are to effectively collect small particles, it is important to note that wet cement production methods are not the best solution. The ideal solution for the problem of cleaning dust and gas flows in the cement industry is the use of a two-stage dust collection system, which combines an advanced cyclone and a bag filter. The system's periodic shaking mechanism allows for effective capture and control of fine dust particles, ensuring high quality cement production and reducing environmental impact. The combination of a cyclone, an acoustic coalescer and a block of bag filters, which is equipped with a periodic cleaning mechanism, as well as the addition of a system for collecting fine dust using a collector funnel, will split the collected dust into two fractions: fine (a = 10−5 to 10−7m) and coarse (a > 10-4m). The first fraction can be used to produce high-quality cement of high cost in the cement industry. The second fraction returns to the main technological process at its finishing stage.

Demand Response Scheduling Considering Pollutant Diffusion Uncertainty of Industrial Customers

The demand response scheduling scheme requires the consideration of both the industrial customers' economic cost and the environmental influences from pollutants. However, the diffusion process of the latter, although of paramount importance, is typically ignored in the existing literature. To address this issue, we propose a demand response scheduling scheme that not only precisely simulates the diffusion process through a spatio-temporal diffusion model, but incorporates the uncertainty into the diffusion trajectories via a Markov decision process. This enables the schedule-maker optimally select the industrial customers to participate in the demand response with a minimum cost while reducing the environmental influences of the pollutants simultaneously. Using it, a deep reinforcement learning approach is further advocated in the optimization procedure to improve the scalability of the proposed method. Simulation results on the modified IEEE-118 test system reveal the validity of the proposed method.

Online measurement method for dimensions of disk parts based on machine vision.

Online measurement of disk part dimensions by the standard industrial camera features low cost, high efficiency and good universality, but the impact of projection distortion and end face chamfer on measurement is needed to overcome. Present work presents a measurement method to resolve above issues based on machine vision. To improve the measurement accuracy, lower end face of a disk part is determined as calibration plane and the upper end face is measurement plane. To reduce the impact of projection distortion and chamfer on measurement, the measurement points are reconstructed on the measurement plane by re-projection. Then, the inner and outer diameters of disk parts are measured by circle geometric fitting, and the thickness is calculated by the measurement plane position. The experimental results show that the method can online measure disk part dimensions just by a single image, and accuracy meets the requirements of universal grade disk parts.

Residual Stress Measurement of Used Mining Dump Truck Frame for Remanufacturing Purposes

Remanufacturing the main frame of a mining dump truck can save cost, energy, and materials in heavy equipment industries. It also can reduce CO2 emissions for environmental preservation to achieve sustainability. However, since the mainframe received a dynamic load during operation, it presumably leaves accumulated residual stresses in the frame. The residual stress, particularly tensile residual stress, stands out as a primary contributing factor to the initiation of cracks, which may ultimately result in failures. In this paper, the residual stress of the used mining dump truck main frame was identified by modeling simulation using FEA (finite element analysis) and actual measurement using a portable x-ray residual stress analyzer with the cos α method. The results showed that the weld area subjected to dynamic loads exhibited the highest tensile residual stress, reaching approximately +772 MPa. This specific region emerges as a critical area demanding attention during the remanufacturing process. The application of PWHT (post-weld heat treatment) at 400 °C for 1 hour effectively reduced residual stress on the weld joint, predominantly tensile residual stress, by more than 80%.

Analysis of the coefficient of unpredictable costs in the construction industry in Slovakia

The main vision of the article is how the current situation in the construction industry affects the cost of construction equipment in Slovakia, because during the implementation, unforeseen costs enter the costs, which are not foreseen in the planning. Current inflation in Slovakia is one of the highest in Europe. The methods used during the research were initial quantitative questionnaires. The output of these was processed using statistical methods and subsequently evaluated. The current situation requires considerable attention in the calculation of individual construction costs. As it is a very challenging process due to the unpredictable market situation in terms of inflation, the price of energy increases, which also causes the rise in the prices of materials and wages. The data obtained can be used by construction companies to calculate the construction equipment. Construction companies in Slovakia can apply the information obtained in the preparation of a quote for construction work that includes construction equipment.