Efficiency Criteria Research Articles

MODELS OF MARKETING ACTIVITY IN AN INDUSTRIAL ENTERPRISE

The article presents the results of a study of theoretical, methodological and practical aspects of marketing activities at industrial enterprises, systematized in the form of three functional models of marketing activities implemented at industrial enterprises, taking into account the specific features of changes in marketing activities depending on the functional marketing model implemented at the enterprise. The research uses traditional methods of scientific analysis, including technical, economic and logical analysis, systematization and ranking. The analysis takes into account that the dynamic nature of the external environment of enterprises implies constant changes in the criteria of competitiveness and efficiency, leading to the emergence of new business goals, new tools and methods of work, changes in the ownership structure, relationships, the development of new functions and directions, diversification and integration. The obtained results can be used at an industrial enterprise when changing the model of marketing activities, as in the conditions of the formation of technological independence of the Russian Federation the most important task is to ensure the market orientation of the production capabilities of domestic enterprises.

Absence of Strikes as a Criterion of Efficiency of Staff Security Costs Management at Industrial Enterprises

The article is devoted to studying the possibility of using the absence of strikes as a reliable criterion for measuring the efficiency of staff security cost management at industrial enterprises. The authors proved that the threat of losing a job due to an industrial downturn and economic instability creates conditions under which the interest of employees in protecting enterprises and their owners is higher than the benefits of initiating a labor dispute with them. Based on the results obtained, it is established that despite a low level of social standards in most Ukrainian enterprises, including wage arrears and a low wage level, the number of strikes in Ukraine is scanty. In 2018-2020, there was not a single strike in Ukraine. In 2021, 11 strikes were recorded in the field of education, with the total number of participants accounting for 700 people. Since 2022, strikes in Ukraine have been banned due to the martial law introduction. The article introduces the concept of “employees’ forced loyalty” and elaborates on the classification of loyalty types. The authors proposed the matrix for determining the situations, in which the absence of strikes is a criterion for the efficiency of staff security costs at Ukrainian industrial enterprises. It is grounded that the relationship between employees and employers in Ukraine can be described by the term “neo-feudalism”. The authors systematized the negative consequences of neo-feudalism for labor productivity and staff security. Having considered the results of the study, the authors proposed a list of measures aimed at minimizing and eliminating those consequences.

CRITERIA FOR CHOOSING THE DIAMETERS OF THE ROLLS OF BAR ROLLING MILLS

The purpose of the work is to evaluate the significant of the technological efficiency criterion for choosing the diameter of the rolls and to develop recommendations for the designation of the diameters of the rolls of bar mills. From the analysis of data on roll diameters and rolling technological parameters of existing bar mills, it was established that the main criteria for choosing the roll diameter are bite conditions, strength and wear resistance. It is proposed to supplement this list with a technological efficiency criterion, which is defined as the ratio of elongation and spreading coefficients. The value of the ratio of the diameters of the rolls to the initial rolling thickness is recommended for the preliminary assignment of the diameters of the rolls by groups of stands of bar mills.

Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining.

A challenge of channel pruning is designing efficient and effective criteria to select channels to prune. A widely used criterion is minimal performance degeneration, e.g., loss changes before and after pruning being the smallest. To accurately evaluate the truth performance degeneration requires retraining the survived weights to convergence, which is prohibitively slow. Hence existing pruning methods settle to use previous weights (without retraining) to evaluate the performance degeneration. However, we observe that the loss changes differ significantly with and without retraining. It motivates us to develop a technique to evaluate true loss changes without retraining, using which to select channels to prune with more reliability and confidence. We first derive a closed-form estimator of the true loss change per mask change, using influence functions without retraining. Influence function is a classic technique from robust statistics that reveals the impacts of a training sample on the model's prediction and is repurposed by us to assess impacts on true loss changes. We then show how to assess the importance of all channels simultaneously and develop a novel global channel pruning algorithm accordingly. We conduct extensive experiments to verify the effectiveness of the proposed algorithm, which significantly outperforms the competing channel pruning methods on both image classification and object detection tasks. To the best of our knowledge, we are the first that shows evaluating true loss changes or pruning without retraining is possible. This finding will open up opportunities for a series of new paradigms to emerge that differ from existing pruning methods.

Managing Stocks of Perishable Goods in Conditions of Demand Uncertainty

The article studies the process of replenishing stocks of mono-product by the trade organization. It is assumed that it is a perishable product and it is withdrawn from circulation when its service life expires (it is utilized without extra costs, utilized with extra costs, sold with discount). A problem arises about economically reasonable volume and time of stock replenishing. The factor of the model uncertainty is demand, which can be described by a casual value with certain distribution. Distribution of demand casual value can be static or possess dynamic dependence on time. The criterion of economic efficiency of product new delivery was introduced, which could maximize mathematic expectation of profit flow density based on a new lot sale. An imitation model was built that gives an opportunity to carry out optimization on this criterion by variables ‘volume of delivery’ and ‘date of delivery’. On the basis of program realization of the proposed optimization model the article provides examples of calculations.

Problems of Arctic Hydrocarbon Development in The Context of Modern Global Challenges: Development Potential and Industry Strategies

Significant hydrocarbon raw material potential in the Arctic territories and complex technological solutions for its development dictate the need to solve extraordinary organizational, managerial and technical tasks of strategic nature. There are economic difficulties associated with oil and gas production in the Arctic fields and, in particular, in the development of offshore facilities. The article focuses on the sectoral strategies of oil and gas complex development, which should be balanced with regional and corporate strategies. Industry strategies for the development of the Arctic oil and gas complex detail a specific set of measures that fully reflect the technological and economic capabilities of domestic companies, it is especially important to assess the achievability of strategic goals in terms of the development of offshore resources. The purpose of this study is to summarize the strategic problems of the development of hydrocarbon resources in the Arctic with the identification of options for the development strategies of oil and gas industry complexes. The methodology of the research is based on the methods of strategic management. Within the framework of solving strategic problems and tasks, it is advisable to apply various scenarios using the methods of strategic alternatives, and, in particular, matrix methods. Matrix methods allow to use the results of the analysis and offer specific alternatives that can be used as a basis for strategic choice in the development of sectoral strategies of the oil and gas complex. The scientific results of the study are determined by the generalization of the problems of the Arctic hydrocarbon potential development and the development of alternative strategy options for solving technological and environmentally-oriented strategic problems. The article presents strategic problems of Arctic oil and gas fields development. The key economic, organizational, technological, social, environmental and geo-political problems are highlighted. Technological strategies largely depend on markets and the policy of technological sovereignty. Using domestic markets or turning to external markets seems to be an important strategic choice, as it determines the level of investment costs — in-house development or purchase of technologies on open markets. For the development of breakthrough technologies in offshore hydrocarbon production, it is possible to rely on the domestic technology market to develop new technical solutions and digital systems. Environmentally-oriented strategies are based on sustainability and efficiency criteria with economic or socio-environmental aspects being prioritized. It is revealed that “green” strategies can take place, but for the development of oil and gas industrial complexes it is important to maintain a balance between production development and environmental safety.

Efficiency Analysis and Optimization of Two-Speed-Region Operation of Permanent Magnet Synchronous Motor Taking into Account Iron Loss Based on Linear Non-Equilibrium Thermodynamics

In this article, the linear non-equilibrium thermodynamic approach is used to mathematically describe the energy regularities of an interior permanent magnet synchronous motor (IPMSM), taking into account iron loss. The IPMSM is considered a linear power converter (PC) that is multiple-linearized at operating points with a given angular velocity and load torque. A universal description of such a PC by a system of dimensionless parameters and characteristics made it possible to analyze the perfection of energy conversion in the object. For IPMSM, taking into account iron loss, a mathematical model of the corresponding PC has been built, and an algorithm and research program have been developed, which is valid in a wide range of machine speed regulations. This allows you to choose the optimal points of PC operation according to the maximum efficiency criteria and obtain the efficiency maps for IPMSM in different speed regions. The results of the studies demonstrate the effectiveness of the proposed method for determining the references of the d and q components of the armature current for both the loss-minimization strategy at the constant torque range of motor speed and the flux-weakening strategy in the constant power range.

Molecularity: A fast and efficient criterion for probing superconductivity

Molecularity: A fast and efficient criterion for probing superconductivity

Police functions: international experience of establishing interaction with citizens and ways of its adaptation in Ukraine

It is indicated that the experience of democratic European countries over the last decade has shown that a key factor in increasing the effectiveness of the police in ensuring security is close interaction with the population, based on a high level of trust. The article examines the international experience of establishing police interaction with citizens and the prospects for its adaptation in Ukraine. Special attention is paid to the study of the Scandinavian model of ensuring public safety during mass events, which is based on the principles of preventive actions, constant communication with participants, effective risk management and a differentiated approach. The analysis shows that the implementation of the Scandinavian model in Ukraine is a complex process that requires an integrated approach. This includes a clear legislative regulation of the status of the “dialogue police”, raising the requirements for personal and professional qualities of the National Police’s leadership team, and improving the staffing system. In addition, the issue of reforming the institution of police service is considered, which is currently characterized by the lack of a clear conceptual vision and the preference for local changes over systemic approaches. To solve this problem, a comprehensive approach is needed, which includes the definition of efficiency criteria, revision of personnel policy, improvement of material and social security, improvement of management and establishment of closer relations between the police and the public. The experience of Eastern European countries shows the prospects for the development of a local model of law enforcement, which allows balancing local autonomy in security matters and integration into the national system. At the same time, there are significant differences in the interaction of local law enforcement with state authorities in different countries. In general, the article emphasizes the need for a comprehensive approach to reforming the police system in Ukraine, taking into account the best European experience. The key is a combination of centralized and decentralized approaches, improvement of personnel policy and establishment of close interaction between the police and the public.

Development of a creative digital curriculum for the elderly: A participatory approach to enhance potential for alternative career opportunities in the digital era

This research aimed to develop a curriculum for empowering the elderly to create alternative careers in the digital society era through digital platforms and to study the effects of the curriculum and online educational channels on enhancing the elderly’s capabilities. Participatory Action Research (PAR) methods combined with qualitative and quantitative approaches were employed in this study. The study involved 555 participants including personnel and elderly individuals in Lampang Province that were selected by using multi-stage sampling. Descriptive statistics were used to analyze the data and compare the group mean by t-test. The research findings revealed that the “Creative Digital Retirees” curriculum for empowering the elderly to use digital technology, digital media literacy and utilizing digital media to create alternative careers met the effective criteria, the 80/80 efficiency criteria with E1 = 80.00 and E2 = 87.16. The effective curriculum consists of five learning units including Unit 1: Using technology media for the elderly, Unit 2: Understanding and digital literacy for the elderly, Unit 3: Creating social media for the elderly, Unit 4: Accessing, efficient use of technology and technology management for the elderly, and Unit 5: Electronic law. The elderly’s capabilities significantly improved at a significance level of 0.05. For curriculum users’ satisfaction, the result showed the highest level of satisfaction with an average score of 4.59. It is concluded that the curriculum is effective and can genuinely enhance the elderly’s learning achievements.

Detection of Bombyx mori as a Protein Source in Feedingstuffs by Real-Time PCR with a Single-Copy Gene Target

The silkworm, Bombyx mori, is reared on a large scale, mainly for silk production. The waste from this silk production, like pupae, is underused. As an edible insect, B. mori is a good source of protein in human food and animal feed. In recent years, European legislation on the use of insects has evolved and a multitude of European companies have initiated the rearing of insects specifically for food and feed applications. Regarding animal feed, Commission Regulations (EU) 2021/1372 and 2021/1925 authorize eight insect species, including silkworm, as processed animal proteins for use in fish, pig, and poultry feed. The incorporation of edible insects into the human diet falls within Regulation (EU) No. 2015/2283 concerning novel foods. Implementation of authentication methods is imperative to ensure the conformity of the products. In the present study, we propose a specific real-time PCR method for the detection of silkworm (B. mori). The developed PCR test amplifies a 98 bp fragment of the cadherin gene. This gene is present in a single-copy per haploid genome, as demonstrated by experimental evidence. The qualitative method was successfully evaluated on the performance criteria of specificity, sensitivity, efficiency, robustness, and transferability. The applicability of the test was assessed on samples of B. mori from industry. Light microscopy and DNA metabarcoding approaches were used as a complement to genomic analysis as a means of providing authentication of the samples.

Parametric Optimization Approach to Evaluate Dynamic Shading Within Double-Skin Insulated Glazed Units for Multi-Criteria Daylighting Performance in Tropics

This research aims to support the choice of an appropriate dynamic louver shading system (DL-SS) within double-skin facade insulated glazed units (DSF-IGUs) as a high-performance integrated window system (DSF-IGUs/DL-SS) that meets both thermal and energy performance via daylight availability under a tropical climate. The research framework has developed a multi-objective optimization method to achieve research objectives via optimizing two different scenarios of the proposed system. The first scenario was optimized for daylighting availability, meanwhile, the second scenario was optimized for energy and thermal performance. For each scenario, the best solutions are selected from respective Pareto fronts according to energy efficiency criteria, thermal comfort via enhancing daylighting availability. Based on the best options resulting from both optimizations, the final step involved comparing the results of all performance indicators in the best cases to select the best solution. Overall, based on the optimizing objectives, the ranking of the best cases varied based on giving priority to the improvement objective in the optimization process. For each scenario, the best solutions are selected from the respective Pareto fronts. Overall, ranking of the best cases varied based on giving priority to the improvement objectives. Optimizing DL-SS within DSF-IGUs while giving priority to improving energy and thermal comfort while maintaining daylighting at acceptable levels is more reasonable. Thus, the DSF-IGUs/DL-SS best-case resulting from the second optimization scenario was overcome all best cases and ranked first in energy and thermal comfort. Compared to the base case, the differences of total Predicted mean vote and percentage of dissatisfied for better thermal comfort achieved were -0.35% and -1.48% with an average decreased by 22.99% and 28.72%, respectively. The differences of total energy and cooling load for better energy performance reduced by -96.84 kwh/m2. and -86.88 kwh with an average decreased by 25.33% and 26.20%, respectively. Meanwhile, the total satisfied of spatial Daylight Autonomy for better daylighting distribution and better daylighting availability of useful daylighting illuminance improvement were improved by -5.54% and +24.76% with an average percentage variation increased by 6.25% and 36.87%, respectively.

Multirobot Assembly Sequence Planning of a Large Space Telescope

As space structures trend toward larger scales and modularization, their on-orbit assembly presents a significant challenge. Assembly sequence planning is crucial in minimizing vibration and enhancing the efficiency of on-orbit construction. This paper explores the multirobot assembly sequence planning algorithm for a large space telescope. A dynamic model is firstly developed to analyze the vibration of segmented mirror pieces and the main satellite during assembly, taking into account the flexibility of connections at interfaces. The dynamic model is able to provide criteria for time efficiency and satellite attitude disturbances. Considering constraints during the assembly process, a modified multiobjective ant colony optimization algorithm capable of planning multirobot assembly sequences is implemented. The simulation results demonstrate that the proposed method not only facilitates parallel planning of multirobot assembly sequences but also leads to a reduction in assembly time and attitude disturbances of the main satellite. The results of assembly sequence planning provide dependable guidance for the subsequent planning levels, such as task planning and trajectory planning, of the on-orbit assembly task for large space telescopes.

ANALISIS POLA DISTRIBUSI CURAH HUJAN LEBAT DOMINAN DI DAERAH ALIRAN SUNGAI (DAS) CITANDUY HULU

Rainfall plays an important role in hydrological and environmental planning. Meteorological conditions affect rainfall through its intensity, amount, and duration. However, heavy rainfall can cause significant damage and loss. Research was conducted in the Upper Citanduy watershed, West Java, using rainfall data from 8 stations over a range of 5–14 years. The study took a heavy rainfall event threshold of ≥ 50 mm in 24 hours. The research aims to analyze the dominant heavy rainfall patterns in the Upper Citandyu watershed. Empirical analysis used the Mononobe Method and Alternating Block Method (ABM), while rainfall distribution was analyzed with Inverse Distance Weighted (IDW) using Geographic Information Systems. The dominant heavy rainfall duration in the Upper Citanduy watershed occurred over 4–6 hours. Rainfall distribution analysis showed a pattern that was not influenced by the elevation of the rainfall station. The analysis results show that the Mononobe Method is closer to the dominant observed heavy rainfall distribution for 4 hours, while ABM is closer to the durations of 5 and 6 hours. The suitability of the distribution pattern was measured using Correlation (r), Root Mean Squared Error (RMSE), and Nash-Sutcliffe Efficiency (NSE) criteria, with Mononobe providing better results than ABM method. This research contributes to the understanding of rainfall patterns that can form the basis for analyzing designed rainfall intensity as a step in flood disaster mitigation in the Upper Citanduy watershed.Keywords: heavy rainfall, rainfall distribution pattern, rainfall intensity, upper Citanduy watershed, geographic information system

Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach

Recommending routes by their probability of having a rider has long been the goal of conventional route recommendation systems. While this maximizes the platform-specific criteria of efficiency, it results in sub-optimal outcomes with the disparity among the income of drivers who work for similar time frames. Pioneer studies on fairness in ridesharing platforms have focused on algorithms that match drivers and riders. However, these studies do not consider the time schedules of different riders sharing a ride in the ridesharing mode. To overcome this shortcoming, we present the first route recommendation system for ridesharing networks that explicitly considers fairness as an evaluation criterion. In particular, we design a routing mechanism that reduces the inequality among drivers and provides them with routes that have a similar probability of finding riders over a period of time. However, while optimizing fairness the efficiency of the platform should not be affected as both of these goals are important for the long-term sustainability of the system. In order to jointly optimize fairness and efficiency we consider repositioning drivers with low income to the areas that have a higher probability of finding riders in future. While applying driver repositioning, we design a future-aware policy and allocate the areas to the drivers considering the destination of requests in the corresponding area. Extensive simulations on real-world datasets of Washington DC and New York demonstrate superior performance by our proposed system in comparison to the existing baselines.

Development of the model and improvement of the method of automated control of steam turbine parameters to minimize the power imbalance in the energy system to increase its efficiency

The object of research is the process of regulating power imbalances due to automated control of steam turbine parameters. The work solves the problem of minimizing power imbalances in the electric power system by developing a model of automated control of steam turbine parameters. This will ensure high-quality regulation of frequency and power, increase the efficiency and stability of the electric power system, and provide a new management method for reliable power supply to consumers. The paper analyzes existing models and methods of power imbalance regulation, develops a dynamic model of automated control of K-300-240 steam turbines, which includes a mechanical-hydraulic system, a steam boiler and a steam superheater. As a result of the study, an improved power regulation method was proposed, which ensures efficient operation of the electric power system. The evaluation of the effectiveness of the regulation of imbalances was carried out on the basis of the proposed criterion of the efficiency of electricity supply and consumption, which is based on the convolution of partial criteria into the general criterion of the efficiency of electricity supply. The following criteria were proposed as partial criteria for electricity supply and consumption: volume criterion, quality criterion, and electricity supply efficiency criterion. The research results indicate the need for a reserve on each steam turbine in the amount of 10 % of its nominal power, which is explained by the assessment of the efficiency of electricity supply among the considered modes of operation of the systems. The presence of a power reserve on each steam turbine in the amount of 10 % of their nominal power ensures the most efficient power supply within the considered modes of operation of the power system, taking into account disturbances and as an imbalance of power generation and power consumption. The obtained research results can be applied in the strategy of primary regulation of power imbalances in the electric power system, thanks to the creation of a power reserve in the amount of 10 % of the nominal power on each steam turbine, and the organization of automated control of steam turbine parameters.

Efficiency criteria and dual techniques for some nonconvex multiple cost minimization models

In this study, we investigate a class of multi-objective variational control problems governed by nonconvex simple integral functionals. Concretely, we establish and prove (necessary and sufficient) efficiency criteria and dual techniques for some nonconvex multiple cost minimization models. To this aim, we extend and use the concept of (Ψ,ω)-invexity to the case of multi-objective variational control problems. Thereafter, by assuming (Ψ,ω)-invexity, (strictly) (Ψ,ω)-pseudoinvexity and/or (Ψ,ω)-quasiinvexity of the involved functionals, we state the sufficient efficiency criteria and associate a dual problem for the considered model.

New algorithm of three-phase equilibrium calculations for CO2-hydrocarbon-water systems

In this century, global warming caused by the accumulation of atmospheric carbon dioxide has become an essential concern. The industry has two main decarbonization options: CO2 capture for permanent storage in geological formations and CO2 utilization for enhancing oil recovery (EOR). Both methods require accurate reservoir simulation to correctly describe the fluids flowing process and design an optimal injection plan. However, existing reservoir simulation practices often neglect the interaction and dissolution of CO2 and hydrocarbon components in water, leading to inaccurate predictions. Neglecting CO2 dissolution in water undermines storage estimation for capture and results in unreliable EOR descriptions. Therefore, to address this, our study focuses on developing a reliable and accurate phase equilibrium calculation package for hydrocarbon-CO2-water three-phase systems, which meets the demanding efficiency and robustness criteria of reservoir simulation. In this paper, we first introduce the methodology of the three-phase equilibrium calculation algorithm, then illustrate the numerical techniques employed to improve computational efficiency and finally demonstrate superior robustness of this algorithm through comprehensive case studies. Our research contributes three key improvements. First, we have increased the reliability of phase behavior descriptions by considering the dissolution of CO2 and hydrocarbon components in water. Second, we have enhanced the robustness of the three-phase equilibrium calculations algorithm, enabling accurate determination of three-phase statuses and fluid behaviors where standard commercial software may fail. Third, our algorithm exhibits notable efficiency improvements, ensuring its suitability for three-phase compositional simulations. The findings of this research provide valuable insights into the accurate modeling of hydrocarbon-CO2-water three-phase systems and offer practical solutions for designing effective CO2 reduction strategies.

Simultaneous optimization of electric production, azo dye, and yeast wastewater treatment in microbial fuel cell: Selection of the most suitable optimal conditions by PROMETHEE

Microbial fuel cell is a clean technology in which waste treatment and energy production continue simultaneously. Process performance depends on the independent variables and their interaction with each other specific to the waste to be treated. In this study, Microbial Fuel Cell (MFC), in which yeast production process wastewater is oxidized in the anolyte, and azo dye is reduced in the catholyte under abiotic conditions, was optimized using the Response Surface Methodology for maximum waste treatment and energy production. The independent variables were wastewater type, electrode array, and amount of sulfate-reducing inhibitor, while the dependent variables were azo dye removal, maximum power density, chemical oxygen demand (COD) removal, and coulomb efficiency. The effect of variables on all responses was determined using Analysis of Variance (ANOVA) and 3-dimensional (3D) graphs. The suitability of the models was tested by verification experiments under the determined optimum conditions (OPT 1, 2 and 3). Optimum experiments were ranked with the PROMETHEE approach according to azo dye removal (mg/L), maximum power density (mW/m2), COD removal (g/L), coulombic efficiency (%), and electrode cost (€/m2) criteria. The preference order of the optimum experiments was determined as OPT 1>OPT 2>OPT 3. With OPT 1, azo dye removal of 16.8 mg/L, maximum power density of 95.34 mW/m2, COD removal of 5.8 g/L and coulombic efficiency of 0.23 % were achieved. With a 1000 Ω external resistor, the maximum power density and coulombic efficiency increased to 147 mW/m2 and 1.5 %, respectively. In addition, the determined optimum experiments were examined using polarization curve and Electrochemical Impedance Spectroscopy.

Exploring the efficiency of employing Fe3O4-MWCNT Nanofluids in a heat sink equipped with circular micro pin-fins

This work investigates the effects of adding different turbulence-inducing elements and varying the concentration of Fe3O4-MWCNT hybrid nanofluid to evaluate the efficiency of a micro pin-fin heat sink. To achieve this objective, a multiphase Lagrangian-Eulerian method that includes gravity, thermophoresis, drag force, Saffman lift, virtual mass, and pressure gradient-induced force to model will employ hybrid nanofluids. The evaluation of heat sink efficiency includes the analysis of quantitative variables like surface Nusselt number, average Nusselt number, and the logarithmic mean temperature difference. Furthermore, a qualitative representation of flow and thermal distributions is illustrated by visualizing flow streamlines, vortex contours, and thermal contours. This topic is addressed in the current work by using the finite volume approach with Ansys Fluent 18.1. Using the multiphase Lagrangian-Eulerian approach, the hydrothermal performance of the Fe3O4-MWCNT hybrid nanofluid in a pin-fin heat sink is investigated. This article's novelty lies in its utilization of four distinct turbulator models, each with unique geometries and widths. These models are positioned within a heat sink with micro fins and are tested in the presence of Fe3O4-MWCNT nanofluids. According to the findings, using the hybrid nanofluid at a concentration of 5 % rather than 1 % causes an average Nusselt number rise of 7.3 %, 9.4 %, and 12.5 % in various heat sink segments. This study's most significant thermal enhancement is associated with case D, which demonstrated a 7 % improvement over the baseline scenario by employing Fe3O4-MWCNT at a concentration of 5 % and a Reynolds number of 2400. It has been demonstrated that hybrid nanofluids have thermal efficiency between 600 and 2400 Reynolds numbers. The thermal efficiency criteria represent the base model, denoted by η = 1. A higher thermal efficiency denotes a more cost-effective design that offers superior heat transmission at a reduced pressure drop. It has been discovered that raising the concentration of hybrid nanofluids improves the micro pin fin heat sink's thermal performance by increasing the heat transfer coefficient.