ЭФФЕКТИВНОЕ ИСПОЛЬЗОВАНИЕ ОБРАЗОВАТЕЛЬНЫХ РЕСУРСОВ В УСЛОВИЯХ ОГРАНИЧЕННОГО БЮДЖЕТА: ОПЫТ ЭКОНОМИЧЕСКОГО ПЛАНИРОВАНИЯ В ОБРАЗОВАНИИ

The objectives of the research are to determine the optimal allocation of resources available to the general company for food products using a linear programming(LP) technique to obtain high levels of production and high levels of profits by maximizing the value of the objective function and increasing the profitability of the company, and conducting a sensitivity analysis to see the extent of changes in the optimum commodity composition in terms of quality and quantity with the level of profits in a manner commensurate with the requirements of growth in the company , the study based on the use of (LP)technique to determine the optimum production plan with the highest net income for the products under study for vegetable oil factories as well as using sensitivity analysis by using the statistical program (Win QSB) .The research showed a number of results, perhaps the most important: proof of the hypothesis of achieving high levels of production and profits as well as the optimal allocation of available resources, as the quantity of production increased from 472 tons in the actual production plan to 974 tons in the derived plan , achieving a jump estimated at 106. 4%, and the results of the optimal solution using the (LP)technique showed that the value of net income at current prices has reached 348739500 dinars, an increase of 184.6% over the net income actually achieved at current prices of 122528565 dinars for the year 2018. The research had reached a number of conclusions, perhaps the most important is the matching of the research results to the research hypothesis as well as the optimal solution using the LP technique had showed the difference in the optimum commodity composition and its quantities from the actual commodity composition of the products , the research provides a number of recommendations, the most important of which is the application of a linear programming technique to know the extent of investing available resources in a way efficiency, which helps to increase production in order to achieve economic efficiency and the need to generalize it to production units with similar conditions in order to determine the optimal use of the various production resources.

Cooperative dynamic free-space optical (FSO) networks exploit the fact that atmospheric losses are distance dependent to enhance the performance of FSO networks. This enhancement is achieved by sharing the resources of shorter links among different nodes in the network. In this paper, two joint transceiver placement and resource allocation schemes are proposed to optimally place FSO redundant transceivers based on optimal resource allocation in cooperative dynamic FSO networks. Specifically, one scheme increases reliability and capacity, while the other increases reliability and fairness of cooperative dynamic FSO networks during severe weather conditions. The schemes are formulated as multi-objective and bi-level integer linear programming problems and solved using an exhaustive search to obtain optimal solutions. The numerical results reveal that higher reliabilities can be achieved with enhanced capacities and fairness using the first and second schemes, respectively. Furthermore, these improvements are achieved by using many fewer numbers of FSO redundant transceivers than those of random placement.

Limited edge server resources and uneven distribution of traffic density in vehicular networks result in problems such as unbalanced network load and high task processing latency. To address these issues, we proposed an efficient caching and offloading resource allocation (ECORA) strategy in vehicular social networks. First, to improve the utilization of vehicular idle resources, a collaborative computation and storage resource allocation mechanism was designed using mobile social similarity. Next, with the optimization objective of minimizing the average task processing delay, we studied the combined resource allocation optimization problem and decoupled it into two sub-problems. For the service caching subproblem, we designed a stable matching algorithm by mobile social connections to dynamically update the cache resource allocation scheme for improving the task unloading efficiency. For the task offloading subproblem, a discrete cuckoo search algorithm based on differential evolution was designed to adaptively select the best task offloading scheme, which minimized the average task processing delay. Simulation results revealed that the ECORA strategy outperformed the resource allocation strategy based on particle swarm optimization and genetic algorithm, and reduced the average task processing delay by at least 7.59%. Meanwhile, the ECORA strategy can achieve superior network load balancing.

Object and purpose of research. The object of the research is the dynamic positioning system of a vessel with electric propulsion, the purpose is to create a computer tool for debugging the algorithms for the operation of control system for the ship’s dynamic positioning. Materials and methods. The indigenous simulation environment SimInTech is used. The model of vessel’s plane-parallel motion and methods of complex technical objects computer modeling are used. Main results. The concept and computer model of the ship technical means control system in the domestic modeling environment, mathematical and circuit models of the control object for conducting computational studies of ship control modes, developing and debugging algorithms for controlling the dynamic positioning of the ship, taking into account the optimal use of electric power system resources. Conclusion. The developed computer model of ship with the dynamic positioning system is a flexible tool for creating and debugging ship control systems and control algorithms. It provides a large number of computational studies of ship control modes for the creation and debugging of algorithms for controlling ship movement during its positioning, taking into account the optimal use of the resources of the ship's electric power system, which reduces the complexity of development and debugging of control algorithms, minimizes the number of physical experiments necessary to create ship’s dynamic positioning systems.

BackgroundPublic health and primary care are distinct sectors within western health care systems. Within each sector, work is carried out in the context of organizations, for example, public health units and primary care clinics. Building on a scoping literature review, our study aimed to identify the influencing factors within these organizations that affect the ability of these health care sectors to collaborate with one another in the Canadian context. Relationships between these factors were also explored.MethodsWe conducted an interpretive descriptive qualitative study involving in-depth interviews with 74 key informants from three provinces, one each in western, central and eastern Canada, and others representing national organizations, government, or associations. The sample included policy makers, managers, and direct service providers in public health and primary care.ResultsSeven major organizational influencing factors on collaboration were identified: 1) Clear Mandates, Vision, and Goals; 2) Strategic Coordination and Communication Mechanisms between Partners; 3) Formal Organizational Leaders as Collaborative Champions; 4) Collaborative Organizational Culture; 5) Optimal Use of Resources; 6) Optimal Use of Human Resources; and 7) Collaborative Approaches to Programs and Services Delivery.ConclusionWhile each influencing factor was distinct, the many interactions among these influences are indicative of the complex nature of public health and primary care collaboration. These results can be useful for those working to set up new or maintain existing collaborations with public health and primary care which may or may not include other organizations.

An overview of the optimization modelling applications

Introduction. The current development of Ukraine's agricultural sector requires a comprehensive approach to improving agricultural efficiency and sustainable development of rural areas. Regional agricultural development programs play a special role in this, serving as a tool for implementing state and regional strategies aimed at optimizing the use of resource potential, increasing productivity, ensuring food security, and promoting economic growth in the territories. The issues of multi-vectorism and integration of such programs require systematic analysis and evaluation of their effectiveness. Methods. The research process involved the use of general scientific and special methods of cognition, in particular analysis and synthesis, induction and deduction, systematic and structural-logical approaches, as well as methods of comparison and generalization. The information base consisted of scientific works by researchers and regulatory documents, which made it possible to assess the role of regional programs in improving the efficiency of the agricultural sector and the comprehensive development of rural areas. Results. The article describes the essence and structure of regional agricultural development programs, analyzes the criteria for their selection and the basic principles of implementation. The advantages of a program-targeted approach in ensuring transparency of financing, control over the achievement of goals, and integration of strategic tasks at the state, regional, and local levels are revealed. It is shown that effective regional programming contributes to increasing agricultural productivity, optimal use of natural resources, and comprehensive development of territories. Discussion. The results obtained expand scientific approaches to the study of regional mechanisms for the development of the agricultural sector and can be used to improve the program base, develop regional development strategies, and increase the effectiveness of management decisions in the field of agriculture. Further research should be aimed at assessing the effectiveness of the implementation of regional agricultural development programs based on quantitative economic and statistical indicators and comparative analysis of the results of program implementation in different regions of Ukraine. Keywords: regional development programs, agricultural sector, agriculture, program-targeted management, resource efficiency, sustainable development, territorial strategies, food security.

The financial and economic mechanism of balanced use of natural resources includes a wide specification of environmental, organizational, economic and financial instruments. The author's vision of the multi-vector nature of the ecological and economic assessment of water resources is outlined, which is a comprehensive approach to the analysis of the use and management of water resources for making informed decisions with the determination of priorities for Ukraine. It is substantiated that formation of fundamental scientific bases for the evaluation of water resources of Ukraine should be based on the use of ecological and economic approaches, in particular: ecological dimension, economic analysis, social dimension, technical analysis, legal and regulatory context, risk analysis, climate change analysis, water infrastructure projects, water conflict management, environmental impact monitoring and assessment, alternative scenarios. A study of publicly available data on the assessment of the use of water resources of Ukraine was conducted. Based on the results of the study, we proposed the structure of a multi-vector model of the tools of the ecological and economic mechanism of water resources assessment, which is systematized according to interrelated instrumental blocks: ecological dimension — assessment of the impact of any water projects or activities on natural ecosystems, aquatic biological resources, and water quality; economic analysis — consideration of economic indicators; social dimension — assessment of the impact of projects on society; technical analysis — analysis of technical solutions, engineering aspects and technological parameters of water projects; legal and regulatory context — consideration of relevant legislative and regulatory requirements; analysis — risk assessment of possible risks and development of strategies for their management. The ecological and economic approach helps ensure balanced use of water resources, taking into account the needs of humanity and the requirements of the environment. On the basis of the multi-vector nature of the ecological and economic assessment of water resources, recommendations on environmental protection, optimal use of resources, social impact of projects, risk management strategies and other important aspects can be provided. The author's approach to theoretical-methodological approaches and methodological provisions regarding the formation of a model of tools for the ecological-economic mechanism of water resources assessment, the effective influence of which is aimed at balancing the ecological, economic and social components of the use of water resources of Ukraine, is proposed. It is substantiated that the functioning of multi-directional tools of the ecological and economic mechanism will ensure both greening and increasing the economic and social effectiveness of the use of water resources, the consolidation of management aspects around strategic tasks and priorities determined by the Basic principles of the state environmental policy of Ukraine for the period up to 2030.

The research aims to measure the effectiveness of the technical and cost-effective economic performance of the owners of lamb breeding and fattening fields in Nineveh Governorate for the production year 2023-2024 by measuring the economic efficiency and its components using the data envelopment analysis (DEA) method, and through it measuring and estimating the surplus and deficit in the amount of feed resources consumed, based on the production function represented by the daily weight gain rate and then the total weight gain in those fields. The research results showed that the technical efficiency reached 95%, the allocative efficiency reached about 75%, and the economic efficiency reached 69%, and that there is a waste in the use of resources by 5%, and that there is a surplus in the use of feed resources, which means that there is a waste in the use of feed resources. Hence, we conclude that there is a gap between technical efficiency and allocative efficiency of about 5%, which may be attributed to the high prices of feed resources, which leads to the lack of optimal use of resources and that there is waste in the use of these resources. The research concluded the necessity of setting a pricing policy for all types of feed and setting a price ceiling that serves its profits and provides them between production seasons and neutralizing black market traders in providing it and establishing feed factories for Ruminants

The national interests of the state are to ensure socio-economic development based on the efficient and rational use, protection and reproduction of land resources in the production of organic products, as well as maintaining a healthy environment. This determines the urgency of harmonizing national policies in the field of reorganization, modernization and development sectors of the economy, and in the provision of services with policies on environmental protection, rational use of natural resources, public health, the formation and use of mechanisms to address these problems, taking into account the situation and the laws of a market economy. This article examines the process of agricultural production taking into account environmental factors and ensuring the rational use of land resources. The importance of soil quality indicators, as well as their impact on land use of agricultural enterprises for the production of organic products is substantiated. The optimal ecological strategy is recommended for most agricultural enterprises of Ukraine. The processes of development of organic food products in Ukraine were considered, as well as the essence and meaning of the concept of “organic products”. The expediency of organic production is proved and the factors of influence of organic products on society are considered. An effective way to improve the condition of soils and lands, increase their fertility in the future. The importance of crop rotations for improving the efficiency and fertility of land resources of Ukraine has been established. Purpose. Creating a market for organic products and proposals for the rational use of land resources. Results. The essence and concept of organic products are revealed. The process of agricultural production is studied taking into account environmental factors and ensuring the rational use of land resources. The importance of soil quality indicators, as well as their impact on land use of agricultural enterprises for the production of organic products is substantiated. The optimal ecological strategy is recommended for most agricultural enterprises of Ukraine. The expediency of organic production is proved and the factors of influence of organic products on society are considered. Proposals for improving the efficiency of land use, improving the condition of soils and lands, increasing their fertility in the future. The national interests of the state are revealed, which are to ensure socio-economic development based on efficient and rational use, protection and reproduction of land resources in the process of organic production, as well as maintaining a healthy environment. Conclusions. The urgency of creating a market for organic products and improving the efficiency of land use and creating sustainable systems of organic production that contribute to the preservation of ecosystems and gradually improve soil quality, which is an integral part of environmental and economic policy, which ensures rational use, protection and management of land resources , is important. In this context, the organization of rational and efficient land use includes creating the best conditions for organic production, reproduction and protection of soil fertility, increasing its role in agricultural production, scientifically sound interaction of soils with other natural factors, ensuring the development of the most complete and correct criteria, methods and techniques. Scientifically substantiated alternation of crops and vapors in time and territory or only in time (rotation) in advance according to a defined plan, and is accompanied by an appropriate tillage system. Thanks to the crop rotation system – a systematic increase in yield, provides the largest production of agricultural products per unit area with the lowest financial costs and labor, and ensures the rational use of land resources in the production of organic products.

We consider a multi-channel cognitive radio network (CRN) where multiple secondary users share a single channel and multiple channels are simultaneously used by a single secondary user (SU) to satisfy their rate requirements. In this competitive CRN, our interest is in determining optimal power and rate distribution choices for each SU while maintaining fairness in of across all SUs. Unlike prior approaches that focus on resource allocation based on instantaneous quality of service (QoS), our approach to fairness encompasses both current and prior history of user experience with respect to QoS (collectively referred to as of experience). Specifically, we quantify user experience over time by introducing dynamic fairness weights for each SU in the resource allocation framework. The dynamics of the weights are governed by social behavioral models. In this paper, we study the effect of Homo Egualis (HE), Homo Parochius (HP) and Homo Reciprocan (HR) models. HE or HR based fairness weights in the resource allocation scheme result in a proportionate resource allocation with respect to users demand. Hence, with respect to unweighted allocation scheme (allocation scheme based on instantaneous QoS), the fairness weights in the resource allocation scheme cause some users to sacrifice resources and some users to gain resources to maintain a balance in allocated resources. HP based fairness weights show that collaboration among users through forming group result to achieve a proportionate resource allocation with respect to demand at least across the users of the collaborating group. Simulation results show that considering dynamic fairness weights in the resource allocation scheme provides a better system level fairness index (based on Jain fairness index (1)) relative to the unweighted allocation scheme.. Keywords-Competitive CRN; Quality of Experience; Fairness; Jain fairness index; Home Egualis; Homo Parochius; Homo Reciprocan.

Water competing conflict among water competing sectors from different levels should be taken under consideration during the optimization allocation of water resources. Furthermore, uncertainties are inevitable in the optimization allocation of water resources. In order to deal with the above problems, this study developed a fuzzy max–min decision bi-level fuzzy programming model. The developed model was then applied to a case study in Wuwei, Gansu Province, China. In this study, the net benefit and yield were regarded as the upper-level and lower-level objectives, respectively. Optimal water resource plans were obtained under different possibility levels of fuzzy parameters, which could deal with water competing conflict between the upper level and the lower level effectively. The obtained results are expected to make great contribution in helping local decision-makers to make decisions on dealing with the water competing conflict between the upper and lower level and the optimal use of water resources under uncertainty.

Wireless self-backhaul technology is an effective solution to the backhaul bottleneck of 5G Heterogeneous Networks (HetNets). To effectively utilize the spectrum resource as well as reduce the transmission load of backhaul links, we propose a joint Context-aware Data Caching and Resource Allocation (CDCRA) scheme for self-backhauled HetNets aiming at maximizing the total system throughput. Context-aware technology combined with many-to-many matching theory is utilized for data caching in small base stations (SBSs). Then interference management based on graph theory is considered when allocating spectrum resource for both access links and backhaul links. Different comparison schemes are designed to verify the performance of our proposed scheme. Simulation results indicate that the total system throughput is significantly improved by CDCRA scheme comparing with other data caching and resource allocation schemes.

We study the problem of admission control and resource (subcarriers, power and bit-loading) allocation in a heterogeneous OFDMA wireless network serving both QoS-constrained high-priority users and best-effort users. By clustering subcarriers, efficient algorithms for cluster and power allocation have been proposed. Our strategy maximizes the total network utility of the best-effort users while satisfying the QoS request for maximum number of high-priority users. We approximate best-effort user utility function as a piece-wise linear function and propose a linear programming based cluster allocation algorithm. The feasibility of the resource allocation problem depends on the number of HP users in the network. Since a large number of demanding HP users would render the resource allocation problem infeasible, a joint admission control and resource allocation scheme could be an efficient way of tackling both problems with less overhead. By incorporating admission control, we propose an efficient and optimal joint admission control and resource allocation algorithm.

In current networks, large flows often co-exist with small flows and consume a significant proportion of the network bandwidth. This imposes a challenge on network resource management. Various hybrid switching architectures have been proposed in recent years aiming to address this challenge and improve efficiency and resource utilization. However, there is still a need for means for design and dimensioning of resources among multiple switching planes. In this work, we first argue that the resource allocation in hybrid switching systems is fact the interaction between three components: resource allocation, traffic partitioning and performance (or cost) constraints. We then introduce a framework called Blocking-LOss Curve (BLOC) to address the resource allocation problem in hybrid switching systems. BLOC can capture the behavior of hybrid switching systems under different resource allocation strategies. This framework also allows us to identify the feasible region for resource allocation, within which performance metrics like the packet loss and request blocking requirements can be satisfied. An optimal resource allocation strategy may be found based on the feasible region. We also discuss the application of BLOC in hybrid switching Data Center networks.