Optimization Of Production Process Research Articles

Чинники ефективності інтегрованих аграрних підприємств

Research on the efficiency factors of integrated agricultural enterprises is scientifically significant and practically important for economic development and maintaining social stability. Integration is an effective tool for strengthening the positions of agricultural enterprises in rapidly changing conditions, which makes it an important object of study and implementation. The article studies the efficiency factors of integrated agricultural enterprises in modern conditions. It is established that integrating agricultural enterprises can increase the agricultural sector’s efficiency, optimize production processes, and ensure resilience to economic challenges. In modern conditions, integrating agricultural enterprises has become a tool that helps to cope with economic and political challenges, including logistics problems, shortage of raw materials, price fluctuations, and other factors. This makes it one of the most promising areas of development for the agro-industrial complex in conditions of globalization and economic instability. Several main factors that will help build a holistic strategy for the effective management of agricultural enterprises are economic, technological, organizational, environmental, social and political, and legal. The primary forms of integration of agricultural enterprises are identified and analyzed: horizontal, vertical, conglomerate, and cooperative. It is proven that the integration of agricultural enterprises provides them with opportunities to reduce costs through process optimization and shared use of resources, increase profitability through improving product quality and expanding sales markets, increase resilience to crisis situations through diversification of activities, and reduce dependence on external factors. Keywords: agricultural enterprise, costs, diversification, integration, efficiency, product quality.

Optimization of the pumpkin pectin paste production process

Taking into account the mentioned advantages, the use of vegetable and fruit pastes with increased pectin content has great potential in therapeutic and preventive nutrition. They not only contribute to the removal of radionuclides, heavy metals and toxins from the body but also provide additional enrichment of the body with a complex of natural vitamins, tannins and sugars. These natural substances help to improve the work of the gastrointestinal tract, increase the general tone of the body and help strengthen the immune system. Optimized technological production processes, in particular the hydromodule of hydrolysis of raw materials, correctly selected temperature regimes and evaporation methods that ensure maximum efficiency of pectin extraction from raw materials. This makes it possible to achieve high quality of the finished product with full preservation of the beneficial properties of pectin substances. Modern technological methods guarantee the preservation of the maximum number of active components, which makes the product even more valuable for consumers. For the production of pectin pastes, Gleisdorfer Olkurbis, Hamlet, Pivdenny, Miranda and Dana Styrian Bare-seeded pumpkins were selected. The hydrolysis process was carried out using lactic acid and whey, which contributed to a faster process and acted as preservatives. According to the results of experimental studies, rational hydrolysis conditions were established: hydro modulus (1:14–1:17), concentration of hydrolyzers, temperature regime, hydrolysis time, and evaporation method. The evaluation of the product included the analysis of dry matter content, colour, pectin content and gel-forming properties. According to the results of the experiments, it was determined that the rational conditions for the hydrolysis of pumpkin raw materials are a temperature within 80°C, a duration of the process of 65 minutes and a hydromodule of 15–16. Rational conditions for evaporation in a vacuum are established, which allow obtaining high-quality pectin paste with a pectin content of 1.5% and a dry matter content within 70%. A specialized technology for the production of pectin pastes from pumpkin and other vegetable raw materials has been developed, which allows you to effectively preserve the natural properties and nutrients characteristic of local fruits and vegetables. Technological and hardware-technological production schemes have been developed, which will contribute to the organization of production in the areas where raw materials are grown, reducing transportation costs and contributing to regions' sustainable development. Localization of production contributes to the creation of new jobs and support of the local economy Thus, the use of vegetable and fruit pastes with increased pectin content has a great potential for strengthening the health of the population. They are a rich source of natural vitamins and microelements, which contribute to the improvement of the general condition of the body, increase immunity and protect against harmful effects of the environment. The growing demand for natural and healthy food products makes pectin pastes a promising direction for investment and development of new technologies in the food industry.

Carbon footprint analysis of sugar production in Poland

Food production is a major contributor to greenhouse gas emissions and biodiversity loss, highlighting the need for a comprehensive approach to identify and reduce emissions. Efficient energy use is critical, alongside the adoption of low-carbon technologies that help agriculture and food processing adapt to climate change. Carbon footprint (CF) analysis is a key tool for assessing the environmental impact of food production and distribution, requiring a thorough evaluation of each product's life cycle from production to consumption. This study focused on the sugar production CF in three Polish plants, examining technological processes and creating unit process diagrams of the production cycle. This analysis led to the development of a database to calculate the CF based on production volume. The determined CF was 0.14–0.27 kg CO2eq/kg, and the average CFav: for plant 1–0.18; for plant 2–0.19; for plant 3–0.19 kg CO2eq/kg. Continuous monitoring is essential, allowing production practices to adapt to changing conditions and ensuring quick responses to sustainability needs. Reducing the sugar production CF involves several strategies, including adopting sustainable cultivation practices, optimizing production processes, using renewable energy sources, improving transportation efficiency, and minimizing waste. Together, these measures promote more environmentally responsible sugar production. By prioritizing sustainability and embracing innovative solutions, the food industry can significantly reduce its environmental impact, meeting the challenges of climate change and biodiversity loss.

Mathematical and computer identification of the characteristics of oscillation frequency and deformations of the equipment element in the flush purification unit

The object of research is an element of equipment in a vibrating screen, which is an active working body in the form of a plate. The key element in the system of the flush purification unit is the vibrating screen. The basic design of the sieve does not allow the flush solution to be distributed evenly over the entire working surface. The concentration of drilling fluid in the central part of the equipment leads to premature abrasive wear and failure of the working element. Therefore, the structure of the vibrating screen needs to be improved in order to extend its service life. This task has been solved through the introduction of an active element to the structure for the redistribution of the solution through additional transverse vibrations. The use of such an active element is an important step for improving the quality and efficiency of the purification system, which could optimize production processes and reduce costs in industry. Taking into account transverse vibrations and calculating frequency parameters could help improve the design and use the vibrating screen more productively. An analysis of the frequencies of oscillations of the active element-plate for cleaning the flush liquid with a vibrating screen was performed and a comparison of the analytically obtained results with the simulation data using the finite element method in the COMSOL Multiphysics software was carried out. The results are the basis for designing vibrating screens, conducting experimental and industrial research, and testing the screens. Computer studies have confirmed the possibility of using the improved design of the vibrating screen. By comparing the results of the calculation and computer simulation, the error was determined to be within 5 %. The identified patterns could make it possible to select the plate oscillation frequencies depending on the known initial parameters, which would be useful for solving similar tasks.

MARKETING ACTIVITIES IN AGRICULTURAL ENTERPRISES: REALITIES AND PERSPECTIVES

The article examines modern features and future prospects of the application of marketing in agricultural enterprises. It is noted that marketing involves the maximum use of market conditions and factors of commercial success to achieve the main goal – making a profit and expanding new market segments. It is emphasized that the Ukrainian agricultural market has specific features of marketing activity: limited consumer awareness and low level of their purchasing power; shortage of qualified marketing specialists; consumer mistrust of marketing communications; unstable market regulation and lack of protection against unfair competition. A scheme of the relationship between strategic planning and management in terms of marketing direction is improved. The key strategies for agricultural enterprises based on the components of the marketing complex in the conditions of digitalization are substantiated. The main indicators of the system for evaluating the effectiveness of marketing activities are given. It is noted that successful marketing means the ability to competently combine various marketing tools to achieve specific business goals, which include the formation of an assortment, optimization of production processes and satisfaction of consumer needs. Marketing contributes to the development of trade and increasing the employment of the population by means of assessing consumer needs, carrying out the scientific research aimed at finding ways to satisfy these needs. Marketing in agriculture is an independent direction of modern marketing and involves the study, forecasting and implementation of business activities of business entities in the field of production, processing, storage, transportation and sale of agricultural products in order to obtain high results of market activity. Using the method of extrapolation with the help of an equation based on the average absolute increase, labor productivity in agricultural enterprises of Ukraine until 2030 was forecast. The effective use of production facilities, new equipment, and advanced technologies is determined by marketing, within which a system of measures to influence the market and consumer demand is developed and applied, taking into account profit generation due to the maximum satisfaction of consumer demand.

Determining of the effect of reinforcing microrelief guides on the efficiency of folding integrated covers

The object of research is the processes of strengthening the working surfaces of profile folding strips made of stainless steel AISI 347 and carbon steel AISI 1005 using laser formation of microrelief guides. The analytical and experimental studies are based on the technique of laser microrelief formation by pulsed laser effects. The main assumption of the study is that the use of laser microrelief formation could increase the hardness and wear resistance of the folding strips, improving the process of folding integrated covers. Analyzing the effect of different hardening methods on the mechanical properties and wear resistance of the working surfaces of folding strips is necessary to achieve this goal. A methodology for assessing microstructural changes and their impact on the mechanical properties of folding strips during laser hardening has been proposed. It has been shown that the formation of microrelief guides by laser pulse exposure reduces the thermal load on the material, increases the uniformity of hardening and wear resistance. The revealed wear rates calculated for carbon steel AISI 1005 are 0.875, and for stainless steel AISI 347 – 0.345. To improve the accuracy and efficiency of the folding process, a methodology has been devised for calculating the quantitative formation of microrelief guides on the working surface of profile folding strips. This will not only improve the wear resistance and mechanical properties of the strips but also optimize production processes. Differences in the results of hardening for stainless steel AISI 347 and carbon steel AISI 1005 were found: the hardness values for AISI 347 are 3,088–4,904 MPa at a load of 50–350 g with a deviation of 37.1 %, and for AISI 1005 – 2141–1665 MPa with a deviation of 22.3 %

Comprehensive Analysis of Allulose Production: A Review and Update.

Advancements in D-allulose production have seen significant strides in recent years, focusing on enzymatic conversion methods. Key developments include traditional immobilization techniques, the discovery of novel enzymes, directed evolution studies, and biosynthesis through metabolic pathway modification. Enzymatic conversion, particularly utilizing D-allulose 3-epimerase, remains fundamental for industrial-scale production. Innovative immobilization strategies, such as functionalized nano-beads and magnetic MOF nanoparticles, have significantly enhanced enzyme stability and reusability. Directed evolution has led to improved enzyme thermostability and catalytic efficiency, while synthetic biology methods, including phosphorylation-driven and thermodynamics-driven pathways, have optimized production processes. High-throughput screening methods have been crucial in identifying and refining enzyme variants for industrial applications. Collectively, these advancements not only enhance production efficiency and cost-effectiveness but also adhere to sustainable and economically viable manufacturing practices. The past five years have witnessed critical developments with significant potential impact on the commercial viability and global demand for allulose.

Enhancing the Halal Agri-Food Sector: Harnessing Blockchain for Opportunity and Innovation

The halal industry is seeing significant growth, driven by heightened consumption and awareness among Muslims, resulting in a rising demand for high-quality products. The halal agri-food sector is a very promising industry that garners significant customer interest regarding the quality and safety of its products. Nevertheless, the halal agri-food sector is presently encountering considerable hurdles in guaranteeing product authenticity and sustainability, especially in combating fraud, overseeing supply sources, and upholding standards across various locations. Furthermore, recent advancements in technologies like blockchain have garnered substantial interest as a solution for urgent challenges, and their integration could markedly improve procedures and yield benefits for the halal agri-food sector. This study sought to examine the existing literature regarding the potential and challenges of blockchain technology in the halal agri-food sector through a qualitative methodology. The results indicated that blockchain enhanced traceability, increased supply chain efficiency, and supported Sustainable Development Goals 9 and 12. The findings of this study indicate that blockchain integration enhanced the global halal market by optimizing production processes and bolstering consumer confidence, hence propelling the halal agri-food sector to emerge as one of the most profitable and reputable industries worldwide.

Occupational Risk Management in OHS Based on Risk Assessment and Control

Abstract Nowadays, occupational risk management presents a significant challenge for enterprises and occupational health and safety (OHS) services. Economic changes drive efforts to verify working conditions and optimize production processes involving human participation. Employers are obligated to provide safe and hygienic working conditions using all available technical and organizational solutions. However, many enterprises still marginalize the correlation between reliable occupational risk assessments and employee absenteeism. Employers often fear high economic costs with potentially low returns. Such actions often stem from the lack of precise analyses clearly determining the costs of inadequate employee safety and ignorance of the possible consequences of workplace accidents. A well-prepared occupational risk assessment can beneficially impact employee safety, company profits, and the reduction or elimination of material and financial losses. This article discusses appropriate remedial measures for accurately determining occupational risk levels and the elements of its control. The reliability of the assessment will determine the effectiveness of the adopted OHS policy and management overall.

Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting

The accurate forecasting of oil recovery factors is crucial for the effective management and optimization of oil production processes. This study explores the application of machine learning methods, specifically focusing on parallel algorithms, to enhance traditional reservoir simulation frameworks using black oil models. This research involves four main steps: collecting a synthetic dataset, preprocessing it, modeling and predicting the oil recovery factors with various machine learning techniques, and evaluating the model’s performance. The analysis was carried out on a synthetic dataset containing parameters such as porosity, pressure, and the viscosity of oil and gas. By utilizing parallel computing, particularly GPUs, this study demonstrates significant improvements in processing efficiency and prediction accuracy. While maintaining the value of the R2 metric in the range of 0.97, using data parallelism sped up the learning process by, at best, 10.54 times. Neural network training was accelerated almost 8 times when running on a GPU. These findings underscore the potential of parallel machine learning algorithms to revolutionize the decision-making processes in reservoir management, offering faster and more precise predictive tools. This work not only contributes to computational sciences and reservoir engineering but also opens new avenues for the integration of advanced machine learning and parallel computing methods in optimizing oil recovery.

A Bayesian hypothesis testing model for quality control of mass customized cabinet manufacturing process

The demand for customization of cabinets and homes has increased, and customized product components are cumbersome in size and time-consuming. In order to realize the mass production of customized cabinet furniture, research from the custom design, optimization of factory machine production process and quality inspection, as well as the flow of the way, is to realize the fundamental method of large-scale production of cabinet furniture. Based on modern intelligent information processing functions instead of manual ordering, order splitting, and unit parts for reasonable division of classification, optimize the topology of the production line, to achieve modern intelligent production of panels. However, in the production process, there is a lack of on-line inspection of some links, and the yield of the product is affected. This thesis establishes a Bayesian hypothesis testing model based on the topological model of the production line process, and through the actual production data, the defective nodes of the manufacturing process are retraced to achieve the purpose of optimizing the customized production.

Building information modeling-based production process optimization model

In the current manufacturing process of enterprises, there are some problems such as poor predictability and low level of intelligence, which lead to high product error rate and affect production efficiency. Therefore, this paper introduces the building information model in the field of engineering construction, and proposes a big data predictive manufacturing model based on the building information model, which divides the production process into production service system, resource planning system, production control system and after-sales service system, and realizes the overall process optimization of planning-production-sales on the basis of the close combination of each system and virtual model system. Finally, the application of error correction process in production line is verified from an empirical point of view, which provides a reference method and path for reducing production error rate and improving work efficiency.

Multiobjective Optimization of a Light Olefin Production Process via CO2 Hydrogenation Considering Yield and Energy Efficiency

Multiobjective Optimization of a Light Olefin Production Process via CO₂ Hydrogenation Considering Yield and Energy Efficiency

Outsourcing in the automotive industry of the Kyrgyz Republic: Development prospects

The study was conducted to assess the prospects for the development of outsourcing in the automotive industry of the Kyrgyz Republic and its impact on productivity, economic efficiency, and innovation in the industry. The study used statistical analysis methods to process data on production and employment from official sources, a comparative analysis of successful examples of international cooperation, and methods for assessing risks associated with outsourcing. As a result of the study, it was established that outsourcing in the automotive industry of the Kyrgyz Republic helps to reduce operating costs and increase production efficiency. It was also determined that the transfer of non-core functions to external contractors allows companies to focus on key processes, which accelerates the introduction of innovations. It was also confirmed that outsourcing helps to attract international companies, stimulating economic growth, and creating new jobs. However, the risk of loss of control over the quality and timing of tasks, which requires the development of effective mechanisms for interaction with contractors to minimise possible negative consequences, is identified. The study showed that the successful implementation of outsourcing requires the active participation of government agencies to create a supportive regulatory framework and incentives to attract investment. The results demonstrated that outsourcing contributes to the development of related industries such as auto parts manufacturing and IT services, which in turn stimulates the growth of the local labour market. In the long term, the use of outsourcing can become a key factor in increasing the competitiveness of the country's automotive industry in the international arena. The study provided valuable data on the impact of outsourcing on the efficiency and innovative development of the automotive industry, which can serve as a basis for developing strategies to optimise production processes and improve economic performance in this industries

Matheuristic algorithm for dock planning problems considering tandem and parallel methods in the shipbuilding industry

Docks are crucial production resources that significantly impact shipyard productivity. This study addresses a real-world dock planning problem (DPP) focused on ship production scheduling within docks. Unlike traditional scheduling issues, the DPP involves managing multiple concurrent tasks due to the use of tandem and parallel methods common in the shipbuilding industry. This distinctive feature introduces unique considerations and opportunities for optimizing production processes within shipyards. Despite its importance, research on DPPs is limited, with dock planning typically depending on the expertise of planners. This study formally defines a DPP as a mixed-integer programming (MIP) model, incorporating tandem and parallel methods. It also introduces MathLNS, a matheuristic algorithm that combines MIP-based large neighborhood search with heuristic methods, as an efficient solution approach to this problem. The effectiveness of the proposed model and algorithm is evaluated using real-world data from one of the largest shipbuilders globally. The results demonstrate significant improvements over the planner-driven approach. Notably, the developed algorithm has been integrated into the company’s production planning system, resulting in improved dock planning efficiency. Furthermore, the proposed approach offers potential benefits for other shipbuilding companies, enhancing operational efficiency in dock planning.

Analysis of the Energy Potential of Hazelnut Husk Depending on the Variety

Interest in bioenergy, in particular the use of biomass, has increased significantly in recent years due to increasing climate and economic concerns. As one of the key renewable energy sources, biomass plays an important role in the new energy framework. The aim of this research was to estimate the mass of woody husks and to check the influence of morphological features of selected hazelnut varieties on the energy parameters of waste biomass in the form of husk. Technical and elemental analyses were carried out on the husks of four varieties: ‘Kataloński’, ‘Olbrzymi z Halle’, ‘Olga’, and ‘Webba Cenny’, taking into account their weight, moisture content, heat of combustion (HHV and LHV), and pollutant emission factors (CO, CO2, NOx, SO2, Dust). Research has shown significant differences between the varieties in terms of their energy potential and pollutant emissions. The varieties ‘Olbrzymi z Halle’ and ‘Olga’ were found to have higher calorific values, making them more energy efficient. On the other hand, the varieties ‘Kataloński’ and ‘Webba Cenny’ showed lower dust and NOx emissions, which is beneficial from an environmental point of view. The analysis of the chemical and morphological composition of hazelnut husks allowed for the identification of relationships between morphological features and energy value and emission indicators. The conclusions from the conducted research suggest that hazelnut husks have significant potential as an energy raw material. The selection of an appropriate variety for energy crops should take into account both the calorific value and emission indicators, which will allow for the optimization of production processes and the promotion of sustainable development.

Development of a Simulation Model to Improve the Functioning of Production Processes Using the FlexSim Tool

One of the goals of Industry 4.0 is to increase the transparency of the value chain through modern tools in production processes. This article aims to discuss the possibility of increasing the efficiency of a production system by modernizing it with the use of computer modelling tools. This article describes a method for the simulation modelling of a selected production system using the specialized FlexSim 2023 software in a 3D environment. The results and benefits of the practical application of the object-oriented modelling are presented, as well as the possibilities of collecting simulation data used to optimize production processes. The analyses were conducted at a selected production plant in a case study. The research assessed the effectiveness of the existing system and determined the impact of process changes in the event of the introduction of a new design solution. The simulation identified bottlenecks in the material flow. The basis for creating the simulation model was the analysis of the technological process. A simulation model for a real situation was created, and a simulation model was designed to identify and indicate a solution to eliminate the detection of the bottleneck. The problem area identified using visualization in the technological process slowed down the entire production process and contributed to time and economic losses. Thus, the authors confirmed the thesis that the simulation modelling of production systems using the FlexSim program can help eliminate bottlenecks and increase the efficiency of human resource use. At the same time, the use of this tool can lead to increased efficiency, reduced costs and improved sustainability and other performance indicators important for modern production environments as part of the promoted Industry 4.0 idea. A noticeable result of these changes was an increase in production from about 80–90 units. In addition, it was noticed that the condition of the machines preceding the stand changed.

How does adopting sustainable supply chain quality management improve corporate financial performance? A transaction cost perspective

This article examines the impact of adopting SSCQM on the financial performance of companies, based on transaction theory. The main objective of this study is to assess how reducing transactional costs through SSCQM, or within its framework, can improve the financial performance of Moroccan companies. The methodology is based on quantitative analysis, using an econometric model (GLM-Gamma) to test the association between SSCQM adoption and financial performance. The results of the study show that various SSCQM-related practices positively affect companies’ financial performance. Managing sourcing costs significantly improves profit margins. Contracts focusing on quality and sustainability, and minimizing the risk of non-compliance, also boost financial performance. However, the ability to adapt and respond to regulatory changes shows no significant impact. Optimizing production processes and investing in green technologies are proving to be profitable strategies, with significant improvements in financial performance. Customer engagement and transparency and traceability of operations also have a positive impact. These results suggest that SSCQM practices, such as the adoption of green technologies and transparency policies, are beneficial for companies’ financial performance. The originality of the study lies in its approach, which links transaction theory to sustainable supply chain management, an angle little explored in existing literature. The study confirms that SSCQM is an effective strategy for improving corporate financial health by minimizing transactional costs. It recommends integrating SSCQM into companies’ management strategies to boost their competitiveness, financial performance and sustainability.

The influence of the development of information and communication technologies on the field of management

This scientific article examines the impact of the development of information and communication technologies on the field of management. The author examines how technological progress in the field of information technologies affects the efficiency and competitiveness of enterprises. Among the main problems associated with the introduction of ICT in the field of economy, the author singles out the following: difficulties in choosing the optimal software and equipment that will meet the needs of the enterprise; preservation and security of information, as a large amount of data is stored using modern technologies; the implementation of ICT requires additional investments, which becomes an important factor for many business entities. The article considers various aspects of the impact of ICT on economic activity. The author notes that the use of modern technologies allows enterprises to improve management processes, optimize production processes, reduce costs, and ensure increased profitability. The author claims that thanks to the use of digital technologies, enterprises can automate many routine processes and provide more accurate demand forecasting, inventory and production management. The article analyzes the judicial practice of the impact of the development of information and communication technologies on the sphere of business. The analysis of judicial practice shows the need to apply means of protection of commercial information that can be obtained with the help of information and communication technologies. Challenges and opportunities brought by digital technologies to enterprises in the field of economy are considered. The author notes that the development of ICT opens up new opportunities for enterprises in the market, while simultaneously presenting them with new challenges related to digital competition and cyber security. On the basis of the conducted research, conclusions were formed regarding the influence of the development of information and communication technologies on the sphere of management. The author sees the study of cyber security and its impact on business as one of the prospects for further research.

Improving the efficiency of food supplies for a trading company based on an artificial neural network

This article presents the proper organization of the supply chain to meet consumer demand, which is crucial for modern commercial enterprises involved in the sale of various products. Studies indicate that a company's success is linked to the satisfaction of its customers. To optimize the supply chain, this study will consider the use of artificial neural network models. The results of this model will seek a balance between demand and supply, helping determine the necessary quantity of goods to satisfy demand and prevent overproduction. By using this model, the company can fully meet the needs of its customers. Additionally, the company saves its resources and labor costs and reallocates them to other tasks. The model demonstrates the optimization of production and supply business processes, as well as an increase in efficiency.