Flow Management Research Articles

Marketing Channels for Contract Financing Control of High-tech Listed Companies: Basis for Strategic Plan

Abstract. China's high-tech enterprises have experienced exponential growth in both number and market value, with significant contributions to innovation-driven development, as evidenced by the proliferation of listed companies on the Science and Technology Innovation Board and the Beijing Stock Exchange. This study delved into an assessment of corporate governance, internal control management, and risk management within high-tech enterprises in China, with a specific emphasis on contract financing control. Through a combination of analysis of publicly disclosed data, questionnaire surveys, and examination of internal control documents, the research aimed to provide targeted recommendations for enhancing internal control mechanisms and optimizing contract financing-related management systems. The findings highlighted strong compliance with domestic and international laws and regulations among the 10 selected high-tech listed companies, demonstrating robust performance across parent and subsidiary operations. While internal control documents were comprehensive, areas for improvement were identified. Despite favorable impacts of marketing channels on contract financing control strategies, challenges persisted, including identifying risk sources and addressing issues related to contract compliance, digital technology application, and customer security concerns. Notably, challenges in financial control marketing channel construction encompassed cash flow management, customer credit evaluation, bad debt, and default risks.

Data flow management in information systems using blockchain technology

Data flow management in information systems using blockchain technology

Проблемы и перспективы цифровизации бизнес-процессов компании

An analysis of the theoretical principles of implementing electronic document management systems was carried out. Electronic document management means the creation of an infrastructure foundation, which is an integral part of any organization. The authors insist that this process represents not only an innovative approach, but also a radical management innovation that has no precedent in the classical management of information flows within enterprises. The implementation of such a system greatly simplifies the work of the team. The electronic document management system, being a key element of automation, undoubtedly helps to speed up the process of completing tasks and improve the company’s competitive position. An effectively organized electronic document management system guarantees the continuity of business processes and saves time, freeing it up for priority tasks.

METHOD OF THE SERVER HORIZONTAL LOAD BALANCING FOR REDUCING ENERGY CONSUMPTION

Background. Server horizontal load balancing is a crucial aspect of modern computing systems, particularly in cloud computing environments. The efficient management of incoming flows of applications is essential to ensure optimal resource utilization and minimize energy consumption. This study focuses on developing a method for managing the incoming flow of applications to reduce energy consumption in server horizontal load balancing. Objective. The primary objective is to develop a method for managing the incoming flow of applications to reduce energy consumption in server horizontal load balancing. This involves identifying the maximum permissible number of applications that can simultaneously enter the system for service, ensuring that the volume of resources used is close to the total maximum possible amount of resources. The method aims to minimize the variance of the elements of the sequence of maximum allowable numbers of applications and the dispersion of the elements of the sequences of volumes of resources used. Methods. The method involves several key steps: Input Load Smoothing Scheme: A static control method is proposed to smooth the incoming load. This involves developing a scheme for smoothing the incoming load, which is a set of values of the maximum allowable number of requests (sequence {ki}) arriving at the system input for a small time interval ∆ti. The sequence is selected to ensure that the volume of resources used is close to the total maximum possible amount of resources. Genetic Algorithm: The selection of the sequence {ki} is carried out using a genetic algorithm. The algorithm involves crossover, mutation, and selection operations to minimize the variance of the elements of the sequence and the dispersion of the elements of the sequences of volumes of resources used. Resource Allocation: The method involves allocating resources for the maintenance of a given type of service. The parameters of the server, which are characterized as the resources of the system serving the applications, are usually calculated for the average values of the parameters of the input stream. Delay Introduction: To manage the application processing process and prevent resource shortages, a delay is introduced for a part of the applications that coincide with a surge in load. The delay time is determined so that delayed applications do not enter the system until the previous burst of load is successfully serviced in the resource-consuming functional block. Results. The results of the study include the development of a method for managing the incoming flow of applications to reduce energy consumption in server horizontal load balancing. The method involves the use of a genetic algorithm to select the sequence {ki} that minimizes the variance of the elements of the sequence and the dispersion of the elements of the sequences of volumes of resources used. Conclusions. The study concludes that the proposed method for managing the incoming flow of applications can effectively reduce energy consumption in server horizontal load balancing. The method involves the use of a genetic algorithm to select the sequence {ki} that ensures efficient use of system resources and minimizes the variance of the elements of the sequence and the dispersion of the elements of the sequences of volumes of resources used. The method can be applied in various scenarios where efficient use of system resources is crucial, such as in cloud computing environments.

Innovation and Strategy in Tender Marketing PT Chop’s Approach to Enchance Tender Success

Introduction: This paper investigates the importance of innovative tender marketing strategies in enhancing PT Chop’s competitive positioning and ensuring continued success in the tendering process (PT Chop Tender Success Strategies). Data Collection Methods: Using a mixed-methods approach with surveys and interviews with 5 respondents. Data Analysis. The analysis will be employed the qualitative descriptive methods. Results and Discussion: PT Chop’s tender success hinges on financial strength, resourcefulness, experience, and connections. Strategic partnerships and cash flow management keep them competitive. Proactive resource allocation ensures they have the right talent for each project. Their proven track record and innovative solutions build trust with clients. Affiliations with various professionals provide a comprehensive understanding of project requirements. To further excel, PT Chop can target niche markets, invest in advanced project management tools, and leverage online collaboration for better communication. They can also address weaknesses through regular technology training and develop value-added services. Finally, identifying risks during tender prep and implementing sustainable practices will help mitigate threats. Conclusion: Based on the findings, an strategy found to Enchance Tender Success of PT Chop.

Analysis of methods of data flow management in mobile radio communication means

The article analyzes the existing methods of managing data flows in mobile radio communications. During the analysis, the peculiarities of the functioning and construction of these networks were considered. It has been established that such networks have features different from other networks, such as mobility, dynamic topology, independent organization, use of mobile means of communication, lack of fixed data transmission routes, etc. The task of providing routing in mobile radio communication devices, mobile radio networks, and the types of routing in communication networks are considered. The conditions for the implementation of the routing task and the features that characterize the routing process have been established. The levels of the OSI open systems model and the most well-known protocols that work at these levels and are used in data flow management are considered. Data flow management methods are classified by type and a list of requirements for the process of data flow transmission in mobile radio networks is defined, taking into account the peculiarities of the functioning of mobile radio communication means, which must be taken into account when building a mobile radio network management system. It has been established that at the current stage of information technology development, data flow management methods are mostly adapted for use in computer, wired or fixed networks and do not take into account the conditions of use in mobile radio communication devices. It has been established that the construction and operation of an effective data flow control subsystem in the control systems of mobile radio networks and mobile radio communication means requires the use of the latest technologies and modern approaches in the development of data flow control methods and methods that will ensure the functioning of the corresponding data flow control subsystem. When choosing protocols, methods, methods of managing data flows, it is proposed to focus on adaptation, modification of approaches or their combined use based on the target function, taking into account the peculiarities of the functioning of mobile radio networks and mobile radio communication means.

Refinement of the train formation plan calculation model by considering the effect of switchyard stations' workload

The article is dedicated to improving the mathematical model for calculating the freight train formation plan (TFP) on the railway network of JSC «Ukrzaliznytsia». The system of organizing freight flows in rail transport is based on strategic planning through TFP, which allows increasing the efficiency of using cars and infrastructure, reducing delays in forming trains, and reducing their transportation time. At the same time, the existing TFP calculation models have certain shortcomings, in particular, the complexity of taking into account the numerous factors that influence the process of train formation. This study proposes a refinement of the TFP mathematical model by including the dependence of wagon-hour costs on the function of the variable utilization factor of technical stations. An automated calculation method developed by one of the authors, based on the application of the mathematical apparatus of genetic algorithms, was used for the calculations. A comparative analysis of the calculation results using the standard and improved models showed that taking into account the impact of station congestion allowed reducing costs by 405.7 wagon-hours, or 3.5% of the total costs for train accumulation and reformatting. The application of the proposed refinement of the TFP model allows the railway operator to obtain more accurate and justified planning results, which will contribute to improving the efficiency of wagon flow management. In addition, the implementation of this approach can serve as the basis for further improving the methods of strategic planning of the transportation process and minimizing the impact of uncertainty factors. The proposed refinement of the TFP calculation model has not only a practical focus, but also represents a theoretical example of the application of an approach aimed at reducing the level of epistemic uncertainty in the management system of the operational work of rail transport. The systematic development and implementation of such approaches creates the basis for mitigating the negative impact of factors that represent sources of other types of uncertainty

Hybrid YOLOv3 and ReID intelligent identification statistical model for people flow in public places

The statistical model for automatic flow recognition is significant for public place management. However, the current model suffers from insufficient statistical accuracy and low lightweight. Therefore, in this study, the structure of the lightweight object detection model "You Only Live Once v3" is optimized, and the "Deep Simple Online Real-Time Tracking" algorithm with the "Person Re-Identification" module is designed, so as to construct a statistical model for people flow recognition. The results showed that the median PersonAP of the designed model was 94.2%, the total detection time was 216 ms, the Rank-1 and Rank-10 were 87.2% and 98.6%, respectively, and the maximum occupied memory of the whole test set was 2.57 MB, which was better than all comparison models. The results indicate that the intelligent identification statistical model for public crowd flow obtained through this design and training has higher statistical accuracy, less computational resource consumption, and faster computing speed. This has certain application space in the management and guidance of crowd flow in public places.

Cyber–physical collaborative control for DC microgrid clusters under joint cyber-attacks

DC microgrid (DCMG) clusters, as deeply integrated cyber–physical systems (CPSs), are vulnerable to cyber-attacks like false data-injection attacks (FDIAs) and denial-of-service (DoS) attacks. This article proposes a cyber–physical collaborative control method, against the joint attacks mentioned above. The main contribution of this work is as follows: firstly, a collaborative control architecture based on multiagent systems (MASs) is constructed for the CPS; secondly, in the physical layer, a hierarchical control framework for DCMG agents is adopted, including primary, secondary, and tertiary control layers. The secondary and tertiary control layers can adjust the scheme of power flow management and frequency/voltage control, through the interaction information between agents; thirdly, in the cyber layer, an active defense strategy based on layered event-triggered protocol has been proposed: (1) according to the tampering of transmission data/information caused by FDIA, a support vector machine (SVM) based prediction learning compensation method is employed, to ensure the effectiveness of energy management and voltage/frequency control. (2) according to the transmission path interruption caused by DoS attack, the optimal path selection method and path reconstruction method are proposed to maintain the transmission of power flow management information and control information. Simulation results are presented to illustrate the effectiveness of real-time collaborative control for the proposed control method.

Experiment and model of oil-water batch transportation to reduce wax deposition

Wax deposition poses a significant challenge to flow assurance in the energy industry, with current measures falling short of effectively solving this issue. Herein, an oil-water batch transportation method based on flow management is proposed, which regulates both the flow and temperature fields and is expected to effectively solve the wax deposition problem from the point of view of the wax diffusion and deposition mechanism to achieve low-cost and high-efficiency anti-wax technology breakthrough. We verified the method's effectiveness through theoretical scrutiny and experimental analysis. Experimental results show that the process has a significant wax mitigation effect and even reduces deposition by up to 70% under dynamic conditions. This is also demonstrated by the wax deposition model developed in this paper, which analyzes the main factors affecting the method's effectiveness, such as temperature difference and flow rate. This groundbreaking approach to wax deposition mitigation represents a promising advancement for the oil industry, particularly in transporting wax-containing crude oil. It offers a novel solution to this longstanding challenge, providing a fresh perspective on tackling the issue.

OPTIMIZATION OF INFORMATIONAL AND FINANCIAL FLOWS AS CRISIS MANAGEMENT’S TOOL

Effective crisis management hinges on the optimized management of informational and financial flows, essential for mitigating impacts and facilitating recovery across various sectors. This paper explores the theoretical foundations and practical applications of informational and financial flows in crisis contexts, emphasizing their critical roles in preparedness, response, recovery, and mitigation phases. Through analysis of case studies it examines how timely and accurate information dissemination, coupled with swift financial interventions, can enhance crisis outcomes. Strategies such as integrated information systems, efficient financial mechanisms, and collaborative frameworks are proposed to optimize crisis response capabilities. Continued research and innovation are advocated to strengthen resilience and readiness in managing future crises, underscoring the importance of proactive approaches to build robust global systems and communities.

Design and research of enterprise risk management avoidance system based on KGN-LLM algorithm

With the increasing complexity of enterprise asset management, traditional risk management methods have become inadequate to meet the demands of real-time monitoring and efficient decision-making. In order to improve the efficiency and security of enterprise asset management, this paper proposes a method for reasoning the avoidance of enterprise asset flow management risks based on the KGN-LLM algorithm. It primarily involves the field of financial risk avoidance, including preprocessing and analysis of enterprise asset flow data, constructing a knowledge graph of enterprise asset flow data using the KGN-LLM model, monitoring real-time asset management data, identifying and analyzing risks, evaluating identified risks, and implementing asset management risk avoidance decisions. It is demonstrated that this method of reasoning the avoidance of enterprise asset flow management risks based on the KGN-LLM algorithm can effectively improve the efficiency and security of enterprise asset management.

Modeling and control of a new multi-port converter for hybrid energy system integration

This research introduces a new topology called the quasi-Z-source integrated isolated multiport bidirectional resonant DC-DC converter. The aim is to achieve cost-effective and efficient multi-directional power flow between photovoltaic (PV), battery/supercapacitor, and DC loads. The proposed topology ensures uninterrupted power supply to the loads and supports reverse power transfer through its bidirectional power flow capability. By combining quasi z-source and H-bridge resonant converters with an existing switch, a four-port converter is achieved without the need for separate converters or additional switches. The high-gain quasi z-source converter reduces the required voltage ratings of the battery and supercapacitor packs while enabling the utilization of a high-frequency transformer (HFT) with a low turns ratio. Isolation between the ports is achieved using a secondary center-tapped HFT equipped with a controlled full-wave rectifier on the secondary side, allowing bidirectional power flow. A power flow management system and corresponding control scheme are proposed to optimize the system's performance. The proposed system's performance is evaluated under various operating conditions, demonstrating its effectiveness in power flow management and overall efficiency. The results confirm the feasibility and effectiveness of the proposed system.

Capital Flow Management Within Macroeconomics Stability Framework in Indonesia (2008 – 2022)

Indonesia is an EMDEs (Emerging Market and Developing Economies) country, and adopting an open economy causes foreign capital flow, especially FDI (Foreign Direct Investment) and PI (Portfolio Investment) can be free flows, and its movements are unpredictable. The movement of capital flows will affect the money supply transmitted to monetary and macroeconomic variables. This study aims to determine the response and contribution of macroeconomic variables to FDI and PI, as well as examining the causality between macroeconomic variables, FDI and PI. This research used the Vector Error Correction Model Granger Causality. The results show that exchange rate and inflation shocks significantly impact FDI and PI. While the results of Granger causality, changes in macroeconomic variables cause changes in FDI and PI. This research recommends that stakeholders continue implementing policy mix and monetary policy to improve exchange rates and inflation stability. In addition, the management of capital flows is still considered because the potential risks posed to the economy are quite large

ВИЗНАННЯ ЗАБЕЗПЕЧЕНЬ У ВІТЧИЗНЯНІЙ І МІЖНАРОДНІЙ ПРАКТИЦІ ОБЛІКУ І ЗВІТНОСТІ

Introduction. Provisioning is the process of setting aside an amount that may be necessary to settle a possible obligation when neither the amount nor the date of the obligation can be estimated with certainty. The objective of accounting and reporting in this area is to establish provisions and to choose the best option for making such provisions. Due to their dynamic nature, liabilities significantly affect the solvency of a business entity, require effective cash flow management and control over the actual status of settlements. The purpose of this article is to study the main aspects of recognising collateral, covering domestic and international accounting and reporting practices. Methods. In the course of the study, the following methods were used: monographic method for studying the literature on the recognition of collateral; method of regulatory support for assessing the established rules and regulations on collateral; analytical method for analytical assessment of the justification of collateral. Results. The creation of collateral is a necessity determined by current legislation and regulations. However, the list of collateral provided in National Accounting Standards 11 is not exhaustive, as an entity should create collateral to reimburse any future expenses (of course, subject to the recognition conditions). Taking into account the specifics of the entities' business, various circumstances may arise that will lead to the emergence and recognition of provisions, which in turn requires careful analysis and justification. Conclusions. Based on the study of the conditions for the formation of collateral in the accounting system and the tasks of accounting and management of enterprises, it is advisable to involve qualified specialists and managers to justify the recognition of collateral. Also, the order on accounting policy should reflect information on the types of payments for which a specific provision is formed. It is recommended to improve the wording of the criteria for recognising collateral in accounting, which will facilitate the convergence of National Accounting Standards 11 and IAS 37.

Managements' competence, functional background, control systems, contextual factors of the planning system and cash flow management behaviour in Uganda's tourism firms

PurposeThe purpose of this paper is to examine the relationship between Managerial Competence Functional Background of Top Management Teams (FBTMT), Management Control Systems (MCS), Contextual Factors of Planning System (CFPSY) and Cashflow Management Behaviour (CFMB) in the tourism sector in Uganda.Design/methodology/approachThis is a correlational and cross-sectional study utilising a sample of 211 tourism firms (tour operator firms and hotels) and using a questionnaire to enlist responses. Data are analysed using SPSS software.FindingsResults show significant relationships between managerial competence, functional background of top management teams, management control systems, contextual factors of planning system and cashflow management behaviour. Among the independent variables, management control systems is the best predictor of cash flow management behaviour in tourism firms. It is also a significant mediator in the link between management competence and cash flow management behaviour and that between the functional background of top management teams and cashflow management behaviour.Research limitations/implicationsAppropriate cashflow management behaviour of actors in operating, investing and financing activities of tourism firms can be improved through highly developed management competence, strong management control systems, utilisation of varied functional background of top management teams and enabling contextual factors of the planning system. The study operationally defined cash flow management behaviour as any management behaviour that is relevant to cash flow management in a firm's operating, investing and financing activities probably for the first time and this speaks to those financial statement analysts and other stakeholders wishing to infer cash flow management behaviours from the statement of cash flows.Originality/valueAs far as we are aware, no research has been done on the relationship between the cash flow management behaviour of tour operator companies and hotels in Uganda's tourism sector and the internal contingencies of managerial competence, functional background of top management teams, management control systems, and contextual factors of the planning system.

Effects Of Lean Manufacturing Practices On Operational Performance

Lean manufacturing is a concept of process improvement in production management which focuses on waste elimination. This paper explores relationships between lean manufacturing practices and operational performance. Using data collected from 55 manufacturing companies in Tasikmalaya city. Lean manufacturing were measured by five dimensions: production flow management, customer focus, process management, workforce management, and supplier management. Operational performance comprises four dimensions: cost, quality, lead-time, and flexibility. The findings are that all dimensions of lean manufacturing are significantly related to on operational performance. Production flow management has a higher level of significance in large enterprises compared with SMEs, whereas for customer focus there is a higher level of significance in SMEs compared with large enterprises. Process management, supplier management and workforce management have much lower level of significance for both SMEs and large enterprises.

A Novel Method for Reducing Vehicle Emissions Utilizing IoT-Based IS-APCPSO Algorithm

ABSTRACT Urban road traffic network optimization based on the Internet of Things (IoT) is one of the important methods to reduce vehicle exhaust and ease traffic congestion. A two-level planning model on road traffic network optimization in IoT and the IS-APCPSO algorithm is deployed, which can effectively solve the above problems. The experimental results show that the total vehicle emissions of the proposed scheme are lower than those of traditional schemes. Moreover, the real-time perception, interactive coupling, and coordinated control of “people-vehicle-road-environment” can be achieved through the use of the IoT. We discuss the sensitivity of the model to establish a scene selection that takes into account different regional and road traffic conditions, avoiding the subjective randomness in model parameter selection. A novel multi-objective method based on IoT proposed in this paper helps to alleviate “urban diseases,” such as traffic congestion, vehicle emissions, and energy waste, and to emphasize the overall benefits of energy-saving and emission reduction in urban road networks. By setting up traffic lights reasonably and guiding the driver behavior, the integrated control and management of traffic flow and exhaust emission under multiple driving cycles are realized.

Analisis Manajemen Risiko Keuangan dan Tenaga Kerja pada UMKM Mie Ayam Mbak Yummi Kota Medan

MSMEs (Micro, Small, and Medium Enterprises) are one of the important economic pillars in driving local economic growth in various cities in Indonesia. However, MSMEs often face significant challenges, especially related to financial and labor risk management. This study aims to analyze financial and labor risk management at Mbak Yummi Chicken Noodle MSMEs in Medan City. In this study, a descriptive qualitative approach with interviews was used to collect data from business owners and employees. The analysis was conducted with a focus on financial risk management strategies, such as product and service diversification, creative promotion, cash flow management, and access to capital, and labor risk management strategies, including employee cost management, employee development and retention, and effective performance management. The results show that Mbak Yummi Chicken Noodle MSMEs have implemented various strategies to effectively manage financial and labor risks. Product and service diversification, creative promotions, and utilization of online delivery and ordering services help reduce financial risks and maintain revenue stability. Meanwhile, efficient management of employee costs, employee development, and effective performance management help manage labor risks, improve productivity, and maintain service quality. This research shows that effective financial and labor risk management plays an important role in the operational success of Mbak Yummi Chicken Noodle MSMEs.

Closing the Borders to End Human Trafficking: Moral Panic and the New Official State Politics on the Refugee Crisis in Greece

This article traces the incident on the Greece–Turkey border in spring 2020 as a turning point in asylum seeker flow management in Greece. It argues that the handling of the event can be approached using moral panic theory, and it explains why the government has chosen its tough stance against these people. It further explores the government’s rhetoric during this event and the consequences of this shift both on the asylum policies leading to pushbacks and on the legitimization of these policies within the Greek society, which could be claimed to have made the Pylos shipwreck acceptable, as examined in its last section.