Improve Process Efficiency Research Articles

Evaluasi Kinerja Web Haji dan Umrah NSK Group Pekanbaru Perspektif Pengguna Menggunakan Framework Cobit 2019

This research is grounded in the importance of websites in providing services for Hajj and Umrah pilgrimages, reflecting the role of technological advancement in delivering information and facilities to pilgrims. The primary aim of this study is to understand the role of websites in facilitating Hajj and Umrah services and to evaluate their effectiveness in enhancing the experiences and satisfaction of pilgrims. A qualitative descriptive methodology was employed, gathering data through direct observation and questionnaires, supplemented by an analysis of relevant literature. The findings indicate that effective and user-friendly websites enhance pilgrim experiences and simplify the processes of booking, accommodation, and transportation. An analysis using the COBIT 2019 framework underscores the significance of IT management in improving website performance. The implications of this study highlight the need for continuous innovation and improvement in data security, incident management, and business process efficiency of websites to increase customer satisfaction and ensure the efficient and secure provision of Hajj and Umrah services.

Quality by Design in Pharmaceuticals: A Review of its Impact on Regulatory Compliance and Product Quality.

The pharmaceutical industry has embraced the quality-by-design (QbD) approach as a promising development, formulation and manufacturing strategy. QbD provides a systematic and science-based framework for designing and producing high-quality products, with a particular focus on identifying, assessing and controlling risks throughout the development process. This review aims to assess the benefits of implementing QbD in pharmaceutical processes, evaluate its impact on regulatory compliance and explore its potential to enhance drug product quality. The primary objective of this review is to evaluate the influence of QbD on pharmaceutical development and manufacturing processes. It also seeks to examine the regulatory requirements associated with the implementation of QbD and highlight the advantages of this approach in terms of product quality and cost-effectiveness. Additionally, the review aims to explore the potential of QbD in improving the safety and efficacy of drug products. The QbD approach holds tremendous potential to revolutionize the pharmaceutical industry by optimizing drug development & manufacturing processes, reducing costs and enhancing product quality and consistency. However, implementing QbD requires a comprehensive understanding of the underlying science, as well as strict adherence to regulatory requirements in drug development and manufacturing. In conclusion, by embracing the QbD approach, the pharmaceutical industry can ensure the production of safe, effective and regulation-compliant products while simultaneously improving process efficiency. This strategic shift toward QbD represents a pivotal step in advancing pharmaceutical research and manufacturing capabilities, ultimately benefiting both the industry and more importantly, patients worldwide.

A holistic framework for improving the prediction of reverse osmosis membrane performance using machine learning

Accurate prediction and modeling of RO membranes performance is crucial in desalination processes for proper process control and operation. Existing models do not consider all process parameters, leading to less understanding of the parameter's importance. In this study, 5 non-ensemble and 7 ensemble machine learning models were employed to predict the performance of RO membrane. Data from a modern RO desalination plant in the UAE was utilized for the models' building. Thirteen input parameters, including operational parameters, water characteristic parameters, and time-dependent parameters, were used to predict salt rejection. The results suggested that ensemble techniques are more capable of predicting the performance of RO membranes. Among ensemble methods, the XGBoost model was found to outperform other models. Recursive feature elimination was integrated with Shapley additive explanation analysis to gain insights into the most influential predictors and confirm the model's ability to comprehend the RO membrane mechanism. The findings highlighted that five parameters are critical for predicting RO membrane performance and could be prioritized for future monitoring to provide timely membrane performance warnings: the membrane's age, feed water temperature, pressure, feed water flow, and chloride concentration. It also indicated that maintaining lower temperatures, increasing feed water pressure, and increasing feed flow can improve process efficiency. The optimal XGBoost model was found to have an outstanding predictive performance with a high R2 (94.75) and a low RMSE (0.181). Ultimately, the framework proposed by this study can serve as a tool to simplify and understand complex membrane processes.

Impact of alkaline earth metal doping on the structural, electronic, and optical properties of all inorganic lead-free CsSnX3 (X = I, Br) perovskites: a first-principles study

Recently, researchers have focused on developing more stable, Pb-free perovskites with improved processing efficiency and notable light harvesting ability. In this regard, Sn-based (Sn-b) perovskites have gained considerable interest in developing eco-friendly perovskite solar cells (PSCs). However, the oxidation of Sn2+ to Sn4+ deteriorates the performance of Sn-b PSCs. Nevertheless, this issue could be mitigated by doping alkaline earth (AE) metal. Herein, we have studied the significance of AE doping on CsSnX3 (X = Br, I) perovskites using density functional theory based calculations. The structural, electronic, and optical properties of CsAE y Sn1−y X3 (y = 0, 0.25; AE = Be, Mg, Ca, Sr) compounds were systematically investigated to explore potential candidate materials for photovoltaic applications. Formation energy calculations suggested that the synthesis of other AE-doped compounds is energetically favorable except for the Be-doped compounds. The band gaps of the materials were calculated to be in the range of 0.12–1.02 eV using the generalized gradient approximation. Furthermore, the AE doping considerably lowers the exciton binding energy while remarkably enhancing the optical absorption of CsSnX3, which is beneficial for solar cells. However, in the case of Be and Mg doping, an indirect band gap is predicted. Our theoretical findings demonstrate the potential of executing AE-doped perovskites as absorber material in PSCs, which could deliver better performance than pristine CsSnX3 PSCs.

Microstructure evolution and fracture behavior of Ti–6Al–4V fabricated by WAAM-LDM additive manufacturing

WAAM and LDM are two typical DED technologies. WAAM-LDM additive manufacturing technology can achieve the purpose of producing large and complex Ti–6Al–4V components, improving processing efficiency and precision. However, there is a lack of in-depth research on the microstructure evolution mechanism and the fracture behavior of WAAM-LDM samples. Therefore, horizontal and vertical WAAM samples were invoked as the substrate for LDM processes in this study, and the mechanical properties and tensile fracture behavior under different load directions were evaluated. The results show that the samples fabricated by WAAM-LDM manufacturing consist of four zones: WAAM zone, heat affected zone (HAZ), remelting zone (RZ) and LDM zone. WAAM zone mainly composed of coarse colony structure, HAZ and RZ are dominated by α colonies and fine basketweave structure, respectively, and LDM zone consists of acicular α phases and fine basketweave structure. The thickness of α laths shows a trend of ‘WAAM > HAZ > LDM > RZ’. The strengths are greatly improved at the interfaces due to the good metallurgical bonding and finer microstructure. All the fractures locate at WAAM zone during tensile test and propagate along the basketweave structure. These strengths of WAAM-LDM samples under the action of horizontal loading are higher than that of WAAM samples, and all the elongations of WAAM-LDM samples are higher than 10 %.

The Stress Strain Analysis of Forward Extrusion Process of Hollow Elements

This paper presents an analysis focused on the stress-strain dynamics within the forward extrusion process for hollow elements. The forward extrusion of hollow elements is characterized by extensive plastic deformation and complex material flow. This process involves splitting the metal continuum, subjecting it to plastic deformation, and merging it into a seamless product with a predetermined cross-sectional shape as it exits the tool. Employing modern numerical finite element methods is essential for designing such processes, as it enables the simulation of metal behavior within the tool. These simulations help predict mechanical parameters within the deformable material continuum, such as stress, strain, temperatures, and strain rates. Additionally, they allow for the optimization of tool designs tailored to the specific product, improving process efficiency and quality. Understanding the stress-strain distribution at individual nodes enables proactive measures to prevent mechanical disruptions within the continuum, ensuring the integrity and quality of the final product—an essential criterion in the forward extrusion process for hollow elements.

Assessing the Sensitivity of the Heat Transfer Coefficient at the Polymer-Calibrator Interface in Profile Extrusion

One of the major challenges in modeling the cooling stage of the thermoplastic profile extrusion process is defining the heat transfer coefficient at the polymer-calibrator interface (hint), which significantly affects the cooling rate. Accurate values for the hint are essential for improving process efficiency using numerical modeling codes. In the existing literature, values of hint are only available for a limited number of cases, and there are no systematic studies regarding the influence of processing conditions on this parameter. This study focuses on the determination of accurate values for hint and on the influence of processing parameters, namely: cooling fluid temperature, pulling velocity, and vacuum pressure. To accomplish this, a previously developed calibrator prototype, and associated methodology, targeting the measurement of hint for thermoplastic materials, is utilized in a conventional profile extrusion line. The results obtained show hint values in the range of 200–1500 W·m−2·K−1, which is in accordance with the results published in the available literature. The results also reveal that the cooling fluid temperature and the pulling velocity have the most substantial influence on hint, while vacuum pressure has minimal impact within the range of the experiments conducted.

Quest for high performance carbon capture membranes: Fabrication of SAPO‐34 and CNTs‐doped polyethersulfone‐based mixed‐matrix membranes

AbstractGas separation process is an effective method for capturing and removing CO2 from post‐combustion flue gases. Due to their various essential properties such as ability to improve process efficiency, polymeric membranes are known to dominate the market. Trade‐off between gas permeability and selectivity through membranes limits their separation performance. In this study, solution casting cum phase separation method was utilized to create polyethersulfone‐based composite membranes doped with carbon nanotubes (CNTs) and silico aluminophosphate (SAPO‐34) as nanofiller materials. Membrane properties were then examined by performing gas permeation test, chemical structural analysis and optical microscopy. While enhancing membranes CO2 permeance, SAPO‐34 and CNTs mixture improved their CO2/N2 selectivity. By carefully adjusting membrane casting factors such as filler loadings. Using Taguchi statistical analysis, their carbon capture efficiency was improved. The improved mixed‐matrix membrane with loading of 5 wt% CNTs and 10 wt% SAPO‐34 in PES showed highly promising separation performance with a CO2 permeability of 319 Barrer and an ideal CO2/N2 selectivity of 12, both of which are within the 2008 Robeson upper bound. A better mixed‐matrix membrane with outstanding CO2/N2 selectivity and CO2 permeability was produced as a result of the synergistic effect of adding two types of fillers in optimized loading.

Simulation and modification of an Ethane-Ethylene separation Unit using vapor recompression heat Pump: Energy, Exergy, and economic analyses

This paper presents a comprehensive analysis involving simulation and thermo-economic evaluation of thermal integration technology, specifically the vapor recompression method, applied to an existing ethane-ethylene distillation process. The study commences with the simulation of the current process, revealing a favorable level of accuracy as evidenced by the strong agreement between simulation outcomes and real plant data. The energy analysis highlights key parameters, with consumption rates of 0.4 kg of refrigerant per kg of vapor in the condenser and 0.743 kg of heating fluid per kg of liquid in the reboiler. Moving to the economic analysis, the total investment cost for the existing process is estimated at 16,925,333 USD. However, a noteworthy concern is the high refrigerant consumption in the condenser, leading to elevated operational costs within ethylene production facilities. Consequently, this study focuses on reducing refrigerant consumption and enhancing the thermodynamic efficiency of the ethane-ethylene distillation column. Simulation results for the proposed process demonstrate an investment cost of 968,837 USD, marking a 5.72 % reduction compared to the current process. The optimization process, driven by sensitivity analysis, determines the optimal outlet fluid pressure for the compressor, setting it at 3730 kPa. Under this optimized condition, refrigerant consumption for condensing the overhead vapors within the distillation column drops by a significant 34.29 % compared to the base case. From an energy perspective, the optimal Mechanical Vapor Recompression method leads to a substantial reduction in utility consumption, decreasing the rate for feed separation from 3.92 kg of utilities per kg of feed to 1.52 kg of utilities per kg of feed. This represents an impressive improvement in process efficiency. The exergy analysis reveals that the Joule-Thomson valve is the primary contributor to total exergy loss. Notably, the reboiler and distillation column's condenser exhibit significantly reduced exergy losses, 33.77 % and 39.05 % lower, respectively, compared to the base case. This emphasizes the positive impact of the proposed optimization on exergy efficiency.

Lean management accounting, elimination of waste in the company

The purpose of this study is to outline the current problems with the company's documentation workflow process and propose a plan to implement a new automated system to eliminate waste and improve the company's cash flow. Every enterprise is required to accurately record business operations. Accounting is the foundation of an organization, serving not only to meet legal requirements, but also to support management processes. In the case of large enterprises, complex accounting carries the risk of problems with timely and correct accounting, which can lead to delays in payments, reminders, collection procedures and interruptions in deliveries. As a result, it becomes crucial to put processes in place to safeguard liquidity. The study includes an analysis of the company's current documentation workflow process and identification of problems associated with it. A plan is then proposed to implement a new automated system to eliminate waste. The methodology is based on an analysis of the company's internal data and available technological solutions. The main results of the study include the identification of existing problems in the documentation workflow process and a plan for implementing a new system. The findings indicate that improving process efficiency can help increase the company's cash flow. The study introduces a new perspective on records management in enterprises, especially in the context of eliminating waste and improving liquidity. The theoretical value of the work lies in identifying opportunities for effective records management in the context of supporting business processes. The introduction of an automated documentation workflow system can bring practical benefits, such as reducing payment delays, avoiding debt collection procedures and improving the overall efficiency of business operations.

Application of Lean Six Sigma Method in Hospital Management Process: Performance Optimization and Waste Reduction

In the dynamic environment of healthcare, hospital management constantly seeks methods to enhance performance and reduce inefficiencies. This study explores the implementation of the Lean Six Sigma (LSS) methodology in hospital management to optimize performance and minimize waste. Lean Six Sigma, a combination of Lean management and Six Sigma, is renowned for its systematic, data-driven approach in improving process efficiency and quality. We conducted a comprehensive analysis in a tertiary care hospital, employing LSS tools such as DMAIC (Define, Measure, Analyze, Improve, Control) framework, value stream mapping, and root cause analysis. The study focused on critical areas such as patient flow, inventory management, and operational processes. Our findings reveal significant improvements in patient wait times, reduction in inventory costs, and enhanced operational efficiency. The application of LSS led to a more patient-centric approach, streamlined processes, and a culture of continuous improvement within the hospital. This research contributes to the growing body of knowledge on LSS in healthcare and provides a practical framework for hospital administrators seeking to implement efficiency-enhancing strategies.

Firm Responses to Nonprescriptive Pollution Regulation: Evidence from China’s Corporate Social Responsibility Reporting Mandate

ABSTRACT We employ China’s mandatory corporate social responsibility (CSR) reporting requirement as a natural experiment to evaluate firm-level responses to a Chinese rule that required public firms to issue CSR reports beginning in 2009. Our difference-in-differences analyses of firm-level data indicate that firms required to issue CSR reports decreased overall pollution levels after the mandate. Conventional wisdom (the “Traditional View”) argues that pollution reductions cannot be achieved without profit sacrifice. Conversely, under the Porter Hypothesis, non-prescriptive regulations can stimulate innovations that improve process efficiency and lead to both pollution reductions and improved long-term shareholder returns. Our results reveal evidence of reduced asset returns among firms required to issue CSR reports after 2008, consistent with both hypotheses. However, consistent with the Porter Hypothesis and not the Traditional View, positive three-day stock returns surrounding the release of CSR report information suggest that shareholders favorably view the overall long-term effects of required CSR reports.

Application of University English Teaching Model Based on Artificial Intelligence Technology

Abstract This paper is based on cloud computing technology in artificial intelligence and a clustering algorithm controlled to divide teaching resource attributes and reduce packet loss rates in the system. Data mining is used to reduce the number of iterations and improve processing efficiency, a learner model is designed, and the teaching process and assessment tasks are constructed to realize the teaching model. Two natural classes of students at the University of S. underwent an instructional experiment. The results showed that the experimental class reached about 70% of the overall students in the achievement range of 85-95 and 95-100. The college English teaching model based on artificial intelligence technology’s feasibility and effectiveness are proven by the significant improvement in performance compared to the control class.

Advanced control strategies for continuous capture of monoclonal antibodies based upon biolayer interferometry.

The semi and fully continuous production of monoclonal antibodies (mAbs) has been gaining traction as a lower cost, and efficient production of mAbs to broaden patient access. To be truly flexible and adaptive to process demands, the industry has lacked sufficient advanced control strategies. The variation of the upstream product concentration typically cannot be handled by the downstream capture step, which is configured for a constant feed concentration and fixed binding capacity. This inflexibility leads to losses of efficiency and product yield. This study shows that these challenges can be overcome by a novel advanced control strategy concept that includes dynamic control throughout a perfusion bioreactor, with cell retention by alternating tangential flow, integrated with simulated moving bed (SMB) multi-column chromatography. The automation workflow and advanced control strategy were implemented through the use of a visual programming development environment. This enabled dynamic flow control across the upstream and downstream process integrated with a dynamic column loading of the SMB. A sensor prototype, based on continuous biolayer interferometry measurements was applied to detect mAb breakthrough within the last column flow-through to manage column switching. This novel approach provided higher specificity and lower background signal compared to commonly used spectroscopy methods, resulting in an optimized resin utilization while simultaneously avoiding product loss. The dynamic loading was found to provide a twofold increase of the mAb concentration in the eluate compared to a conservative approach with a predefined recipe with similar impurity removal. This concept shows that advanced control strategies can lead to significant process efficiency and yield improvement.

Production and Activity Characterization of Lipase from Bacillus flexus InaCC-B486

Lipases are widely used in a variety of industries, both to develop products and to improve process efficiency. The need for lipase increased along with the wider application of this enzyme. Therefore, studies related to the search for potential lipase-producing microbes that answer the needs of the industry are required to be carried out continuously. Enzymes produced by microbes are preferred because they can be produced quickly compared to other sources. Bacillus flexus InaCC-B486 was used to produce lipase in this study with olive oil as substrate. This research aimed to observe the production of lipase from B. flexus InaCC-B486 and characterize its activity. The result shows that the production of B. flexus InaCC-B486 lipase was optimal at day-4 which was 11.983 ± 0.101 U/mL. The activity of B. flexus InaCC-B486 lipase was optimal at an incubation time of 15 minutes (2.810 U/mL), pH of 8.0 (3.173 U/mL), and a temperature of 35 oC (3.173 U/mL). These findings can be used for further applications, both in research and industry, that use B. flexus InaCC-B486 as a resource for lipase production or any related applications.

The use of low-pressure cold plasma optimization for microbial decontamination and physicochemical preservation of strawberries

Strawberries are highly perishable products due to the presence of elevated water levels, thereby necessitating postharvest treatments to enhance physicochemical quality (PQ) and shelf-life. Although several studies have focused on the development of cold plasma processes as postharvest treatments, the effect of the processing parameters remains unexplored. Therefore, this study aimed to assess the use of low-pressure cold plasma (LP-CP) for microbial decontamination and physicochemical preservation of strawberries using Taguchi orthogonal array design (OAD). The results showed that optimizing LP-CP treatment power, exposure time, and reactor pressure delayed the deterioration rates of strawberries by approximately 10–60 %. Total plate count (TPC) showed that LP-CP treatment with 90 W for 90 s at 0.076 Torr was the optimum condition for microbial decontamination. Color change (CC) was optimally inhibited with 90 W for 60 s in 0.076 Torr. Meanwhile, the optimum condition for maintaining electrolyte leakage (EL) was 30 W for 30 s at 0.076 Torr. Optimal ascorbic acid (AA) content and antioxidant capacity (DPPH) were obtained at 30 W for 30 s in <0.756 Torr. LP-CP processing parameters of power (up to 59–96 %) had the most significant contribution (p < 0.05), followed by time (up to 29 %) and pressure (up to 10 %). Based on the results, reducing microbial contamination preserved the surface color of strawberries. Lowering LP-CP power input, exposure time, and reactor pressure was suggested to enhance the membrane integrity and antioxidant properties of the samples. The results of this study could promote green industrialization of strawberries by reducing waste and improving process efficiency to achieve sustainable development.

Influence of the material composition of the original ore on the quality of the iron ore concentrate.

In recent years, improvement of blast-furnace process efficiency is largely associated with an increase in the iron content in iron ore concentrates – the feedstock for agglomeration. The study of the material composition of ores, their features makes it possible to adjust the scheme of preparation of raw materials and determine the optimal content of iron in the concentrate for further processing. When studying the material composition, it was found that the sample of iron ore is represented by ferruginous quartzites of the silicate-magnetite type in combination with magnetite. In the original ore sample, magnetite dominates among ore minerals, and quartz and amphiboles dominate among rock-forming minerals. The coarseness and shape of the isolation of magnetite in all varieties of rocks are generally favorable for enrichment; the mineral is characterized by clear rectilinear and slightly sinuous contours, which contributes to its selective isolation. It should be noted that the magnetite content remains constant as the coarseness of the sample material decreases. Automated mineralogical analysis established that 87.36% of iron is associated with magnetite (with fluctuations in size classes from 86.23 to 91.37%); the rest of the iron is associated with rock-forming minerals. The theoretical content of magnetite in iron ore concentrate, achievable by enriching the original ore of the studied sample, according to automated mineralogical analysis, will be 95.83%, which, in turn, will provide the maximum possible iron content in magnetite concentrate of 68.57%. The existing technology of mining and enrich-ment using 4 types of ores from the Stoilenskoye deposit, with a planned increase in iron to 70%, will result to fluctua-tions of this component in the concentrate from 68.0 to 70.0%.

Multi-information integration-based life cycle analysis of greenhouse gas emissions for prefabricated construction: A case study of Shenzhen

Prefabricated buildings have gained significant attention in the global construction sector due to their potential to reduce construction time, improve process efficiency, save resources, and mitigate pollution. It is crucial to quantify the greenhouse gas (GHG) emissions associated with prefabrication technologies for sustainable development. However, there is a lack of comprehensive research utilizing advanced technological tools to examine and visualize GHG emissions in prefabrication. To address this gap, this study employed a multi-information method that combines Building Information Modeling (BIM) and Geographic Information System (GIS) with a life cycle assessment (LCA) approach to analyze and calculate the spatial distribution of GHG emissions from prefabricated components and buildings during the production, transportation, and construction stages in China. The results indicate the following: (1) GHG emissions per cubic meter for the prefabricated exterior wall, balcony, and stair are 1080.77 kgCO2eq/m3, 867.84 kgCO2eq/m3, and 1902.63 kgCO2eq/m3, respectively, with an overall average of 1138.58 kgCO2eq/m3 for prefabricated components. (2) The production phase is responsible for the largest share of GHG emissions, accounting for 96.11%, while the transportation and construction phases contribute 3.30% and 0.59% of the total emissions, respectively. (3) The selection of prefabricated construction can lead to a 31.62% reduction in total GHG emissions per square meter, with emissions of 269.16 kgCO2eq/m2, compared to traditional construction with emissions of 393.63 kgCO2eq/m2. The study contributes to the knowledge body by providing a systematic method for calculating GHG emissions and offering traceability and visibility of GHG emissions for prefabricated components and prefabricated buildings. These findings can serve as practical references for future research to achieve the construction industry's green and low-carbon goals.

Mechanism and performance evaluation of transient and selective laser processing of glass based on optical monitoring.

Femtosecond laser processing has been widely applied in glass processing owing to its ability to fabricate microscale components. To improve processing efficiency, a transient and selective laser (TSL) processing technique was previously developed, in which electron excitation was induced inside a transparent medium by a single pulse of femtosecond (fs) laser, and a single pulse of microsecond (µs) laser can be selectively absorbed in this excited region to heat and remove the material. However, because of its high speed removal process, the unclear mechanism and inefficient evaluation of its processing performance limit its further application. This study analyzes the transient spatiotemporal evolution of the induced plasma and the related material removal mechanism of the TSL processing using a side high-speed monitoring method. To achieve a rapid performance evaluation, a quantitative analysis of the optical plasma signals (on a microsecond timescale) generated in TSL processing was performed by employing a developed coaxial high-speed monitoring method using a photodetector. The variations in the shapes, intensity distribution, and dimensions of the plasma were quantitatively investigated. In addition, the relation between the plasma signal and drilling performance under different laser parameters, including hole depth, hole types, and cracks, was explored and quantitatively analyzed. The revealed mechanism is expected to contribute to the broadening of the application of TSL processing in microfabrication. Furthermore, the developed high-speed and precision monitoring technology can be utilized for high-speed evaluation and precision control of machining quality in real time during ultrahigh-speed laser machining, without time-consuming camera observations.

Strategic directions of development and increase of the economic efficiency of sunflower production and processing

The article highlights the problems of strategic development and increasing the efficiency of sunflower production and processing. The primary attention is paid to identifying the agro-technological features of the crop (first, high energy intensity and extremely demanding restrictions on predecessors and compliance with crop rotations. A comprehensive assessment of the problems accompanying its production and processing was carried out. They relate to two dimensions of the environment: production-economic and ecological. Therefore, strategic directions for sunflower production development and improving the efficiency of its production and processing should cover, satisfy, and harmonize them. Production and economic strategies should include a selection of new high-yielding varieties and hybrids, innovative production techniques and technologies, new means of plant protection and fertilizers and land reclamation, and innovations in processing, logistics, implementation, and marketing policy. Nevertheless, they should not manifest themselves due to violating ecological imperatives. Therefore, ecological strategies should include modern agrotechnical techniques with simultaneous improvement of the quality of the environment and soil fertility. Only such a comprehensive approach will ensure a high level of development of the industry at the level of agricultural enterprises and a comprehensive increase in sunflower production and processing efficiency without harming the environment. The directions of development and improvement of sunflower production and processing efficiency should now be considered in two inextricably linked planes: from the standpoint of production and economic improvement of management and under the conditions of compliance with its ecological limitations and ensuring the ecological quality of the produced products. Irrational technology leads not only to a drop in productivity and a decrease in the quality of products but also to a catastrophic deterioration of the environment. This undoubtedly leads to additional costs and reduces the potential for effective development of agrarian enterprises for sunflower production and processing. Therefore, introducing innovations in all stages of the reproduction process of sunflower and its processing compliance with ecological imperatives should be a priority of strategic directions of development and improvement of the efficiency of industries at the level of agricultural enterprises. Keywords: agricultural enterprises, sunflower, production, processing, development, strategic directions, efficiency improvement, production and economic processes, ecological imperatives, harmonization.