Business Flow Research Articles

The Application of Big Data Technology in the Analysis of Commercial Circulation Data in Emerging Industries

Inside the generation of rapid technological development, rising industries are increasingly counting on big facts to pressure growth and innovation. This examine explores the transformative effect of huge facts generation on the analysis of commercial circulate statistics in those burgeoning sectors. By way of harnessing numerous and voluminous datasets, organisations inside rising industries can uncover crucial insights, optimise delivery chains, are expecting marketplace developments, and enhance patron reviews. The paper begins by using outlining the unique challenges and possibilities that emerging industries face within the virtual landscape, emphasising the want for strong facts-driven techniques. We delve into the methodologies of large facts analytics, together with data acquisition, garage, processing, and visualization strategies tailor-made for the nuanced requirements of these industries. A crucial examination of case research wherein huge facts has been efficaciously carried out offers realistic insights into its effectiveness and barriers. The examine similarly investigates the role of advanced analytics, system studying, and AI in refining data evaluation techniques, providing a complete view of the way those technologies synergistically make contributions to strategic selection-making. Moral issues, especially regarding records of privateness and safety, are also addressed, acknowledging the responsibilities that accompany the utilization of huge information. The paper concludes by projecting future traits in big statistics programs within rising industries, which includes the capacity for predictive analytics and the integration of IoT gadgets. This research now not only underscores the significance of big statistics in revolutionising business flow however also serves as a guiding framework for industry leaders and stakeholders trying to navigate the complexities of the digital age in rising markets.

A Finite State Machine Model for Business Flow in Active Distribution Networks Considering the Multi-flow Fusion Process

A Finite State Machine Model for Business Flow in Active Distribution Networks Considering the Multi-flow Fusion Process

Cyber-physical internet based intelligent operation platform for off-site construction supply chain management

ABSTRACT Off-site construction (OSC) projects rely on a smooth off-site supply chain. Previous studies improved supply chain management (SCM), while scantly mentioning business flow and recent advanced technology. This paper proposes a three-layered cyber-physical internet (CPI)-based platform for practical OSC-SCM. The scalable layer connects resources via an industrial driver (ID) for an information chain. The kernel layer designs protocols for digital twins (DT) and twin networks with incentive and information sharing mechanisms. The application layer offers thirteen services for offsite plant, logistics, and on-site assembly. A case study demonstrates 20% reduced construction time and millions of cost savings, proving enhanced efficiency.

A Reinforcement Learning-Based Traffic Engineering Algorithm for Enterprise Network Backbone Links

Large enterprise networks typically rely on expensive, high-speed backbone links to connect multiple campuses across diverse regions. As the volume of traffic traversing these backbone links increases, traffic engineering techniques are employed to filter or redirect traffic flows. Nevertheless, simple rerouting strategies can introduce business disruptions such as packet reordering, which significantly impact the user experience. To address this issue, we introduce an enhanced traffic scheduling algorithm named Critical Flow Rerouting with Weight- Reinforcement Learning(CFRW-RL), which builds upon the critical flow rerouting-reinforcement learning (CFR-RL) algorithm. CFRW-RL incorporates the principles of reinforcement learning, accounting for both the weights and classifications of data flows. This approach enables the algorithm to prioritize flows with lower weights for rerouting. The simulation results demonstrate that CFRW-RL significantly minimizes the rerouting of high-priority business flows and reduces business interference compared with the CFR-RL algorithm and that it maintains a similar computational complexity.

Price distortion forced by recycling competition under trade-in collaboration

Renowned brands and recycling agencies tacitly integrate their business flows together in the current trade-in industry. The collaborative trade-in programme breaks the hierarchy of closed-loop supply chains and provides seamless services for consumers. In this study, we develop a stylised model to capture the change in supply chain structure and scrutinise trade-in collaboration and recycling competition between sellers and recyclers. We find that, under intensive recycling competition, price targeting new consumers is downward distorted by the seller to occupy more trade-in demands in the old consumer segment. Meanwhile, the rebate of the recycler is suppressed by the collaboration constraint. By distorting the price, the seller obtains the predominance in recycling competition while sacrificing part of profits from new consumers. The price distortion indicates the competition spill-over from the old consumer segment to the new consumer segment. Furthermore, the establishment of autonomous recycling reaches a Pareto improvement for the whole system when the competition is mild; otherwise, these two entities fall into a zero-sum scenario. Our study offers insights into recycling value allocation and trade-in partner choice and, theoretically, contributes to the economic literature that price distortion can even be forced by competition with the absence of information asymmetry.

Research on Investment and Financing Strategies of State-owned Commercial Banks for Urban Commercial Projects

The development of modern trade and logistics industry can’t be separated from financial support. Financial empowerment of trade development can effectively realize the multi-flow unity of logistics, capital flow, information flow and business flow, and achieve a double win situation for all parties. According to the PEST analysis of the development environment of Linyi Mall, the Rizhao banking industry supports the transformation and development of Linyi Mall, and in terms of specific development strategies, it should focus on the whole industry chain of the Mall, financial technology development and empowerment, financial talent training, and the enhancement of the financial service model. Eligible projects, platforms, enterprise subjects for "real money" support, clear strategic direction of the transformation and upgrading of the Mall, to promote the high-quality development of commerce and logistics, to achieve co-prosperity with the development of Linyi Mall.

Perancangan Inventory System untuk Mengoptimalkan Operasional Penjualan, Pembelian, dan Pengembalian pada CV.Victory

In company operations, of course you need records in the form of stock data and transaction data to make reports. Likewise with CV. Victory has used software to optimize the company's operations, but the software still has many shortcomings so that the company's operations are not optimal. There is a proposed solution, namely the design of a desktop-based inventory application with the aim of supporting company efficiency and productivity. In this Digital Business Project, the method used is the waterfall methodology which consists of requirements analysis, system design and testing. The type of research used is qualitative research by conducting an interview process with the resource person, namely the Chief Operational Officer from CV. Victory. by asking several questions related to problems occurring in the company with the aim of being a guide to designing solutions.The result of the project is an analysis of business flow, system flow, business model, then the final result is a desktop-based application design that has various features in it according to the company's needs. The features available in the application include goods data, supplier data, customer data, employee data, and transaction data (sales, purchases and returns). These features, apart from being able to enter data, also provide access to update and delete. After the application design has been created, a feasibility analysis is carried out to determine whether the development of the system project is worth continuing or stopping, and the results obtained are that the application design created is declared feasible according to the results of behavioral testing or what can be called black box testing.The conclusion of this project is that the design of a desktop-based inventory application will definitely provide company efficiency and productivity by providing process automation, smoother work flow, and faster access to information, so that it can save time, costs, resources, and improve service quality.

Context-aware early warning method for monitoring business flow anomalies in transmission grid construction based on context-awareness

Abstract Based on context-aware theory, this paper proposes an online anomaly detection and warning method for multi-angle transmission grid construction business processes. The business process model for transmission grid construction is constructed using a Petri net, and the data is preprocessed. The context in the business event log is initially refined, and the data in the model training is labeled using the supervised learning method. The sliding window Euclidean distance model is applied to build an anomaly detection model for the transmission grid construction business process, and the data is filtered by mean value aggregation to obtain the threshold value for anomaly monitoring and to realize anomaly detection and warning. This paper’s anomaly detection and early warning model is applied to carry out transmission grid construction business flow optimization practice in the G Power Supply Bureau of Yunnan Province, China. Since the optimization in June, the timeliness and accuracy of material matching of G Power Supply Bureau have been stable at more than 90%, and the execution rate of the operation plan and on-time completion rate of billing have also been maintained at a high level of about 95%. The number of cancellations and adjustments to transmission network construction operations has decreased from 20% to 30% to less than 7%, and the overall satisfaction score of transmission network construction business processes has reached 4.15.

Research on Capital Structure and Investment Value of the Healthcare Industry

This paper makes an in-depth study of the US healthcare industry from both empirical and theoretical aspects of capital structure and investment value. By calculating the WACC (weighted average cost of capital) for three of the most representative public companies in the US healthcare industry (Johnson & Johnson, Pfizer, and UnitedHealth Group) and reviewing the literature, it is concluded that the company's business and capital flows have been affected due to the impact of the COVID-19 pandemic. At the same time, due to some differences in the main business and nature of the three companies, United Health Group found that it has the highest investment risk. Based on the analysis of the investment value and investment risk of Johnson & Johnson, Pfizer, and UnitedHealth Group, this paper provides more appropriate investment recommendations for investors with different preferences, to further understand the future development trend of the American medical industry.

Analysis of Online Shopping and Offline Shopping

In recent years, with the improvement of people's living standards, e-commerce has gradually emerged, gradually replacing the traditional brick-and-mortar store-based shopping method. As a new way and business model, online shopping aims to realize the electronization of all links of trade activities and the unification of online business flow, logistics, capital flow and information flow. This kind of shopping pattern is the main development direction of future trade. Through questionnaire survey, comparative analysis and literature review, this paper summarizes the characteristics, advantages and disadvantages of two different shopping methods (online shopping and offline shopping). Then, combine the advantages of the two shopping methods to provide merchants and consumers with different solutions and suggestions.

The Effect Analysis of the Application of CAI to Japanese Oral Teaching in Colleges

Abstract In this paper, we first analyze the requirements for teaching spoken Japanese in colleges and universities, design a computer-assisted teaching system using C/S and three-layer hybrid architecture, and create a business flow diagram of the system. The second step is to conduct a technical analysis of the computer-assisted teaching system, and Bayesian theory is employed to model the complex system with multi-factor synergy. The effect of the computer-assisted system on Japanese-speaking teaching courses in colleges and universities was analyzed. The results indicated that the students dictated 4,500 words, while the lowest dictated as little as 300 words, but overall, they were more balanced. The prompt word ratio was directly proportional to the number of repetitions by observing the number of single dictations of students.

COUNTERACTION TO FINANCING TERRORISM AND SEPARATISM MANIFESTATIONS AS BASES FOR GUARANTEE OF ECONOMIC SECURITY OF THE STATE

It is justified that the activation of terrorism and separatism in Ukraine that has been occurring in recent years highlights the need to combat financing. The activity aimed at identifying channels of financial support for terrorist and separatist activities, as well as effectively blocking them, becomes one of the key directions in ensuring the economic security of the state. The object of this research is to deepen the theoretical and methodological foundations of various aspects of financing terrorist activities and separatist actions as threats to the economic security of the state, and to determine directions for opposing terrorism and separatism.
 Factors influencing the development of trends in terrorism financing and separatist activities have been identified. On the one hand, the continued growth of international capital, business, and human flows in the context of globalization occurs alongside persistent disparities in the development of financial-economic systems in different countries and regions and the shadow component of the global economy. This maintains opportunities for the accumulation and laundering of funds and for conducting terrorist and separatist activities at various levels. On the other hand, counterterrorism financing has become one of the few directions of international cooperation in the fight against terrorism, with real successes observed not in reducing terrorism financing, but in increasing the overall transparency of financial systems and flows, and intensifying international pressure on offshore entities etc.
 It proves that the key role in the financing of terrorism and separatism systems and channels may ultimately shift towards the area of the most active interaction between formal and informal money accumulation systems. National and international measures for long-term counteraction to terrorism financing should take into account the control of channels within both the formal financial and banking system, other legal financial agents, commodity flows and services, traditional money transfer systems, as well as other informal mechanisms.

Research on Improvement of Hotel Supply Chain Resource Management Decision in the Era of Big Data

Hotel supply chain management (SCM) refers to the material service that takes a hotel as the core object. At present, the main method is centralized SCM, which uses integer programming or mixed integer programming to establish and solve the allocation management of various resources among hotels in the supply chain. In this article, based on ant colony algorithm (ACA), the hotel SCM mode is studied and optimized. The research shows that the convergence path is A-S4-M3-L3-D1-R1-T. Therefore, the optimal partner combination meeting the requirements of the supply chain is S4, M3, L3, D1 and R1. The experiment shows that the max-min ACA is effective to solve the problem of partner selection in hotel supply chain. By using enterprise management technology, information technology, network technology and SCM technology under ACA, the effective rules and control of information flow, logistics, capital flow, business flow and value flow in the whole supply chain can be achieved, and the maximum benefit of the whole hotel supply chain can be realized.

A comprehensive operation and maintenance assessment for intelligent highways: A case study in Hong Kong-Zhuhai-Macao bridge

The integration of business flow status updates creates a framework for dynamically evaluating operation and maintenance activities, and that assessment is an essential component of achieving intelligent management and control. Highway managers have relied on the operation and maintenance system to integrate business initiatives that improve performance at the organizational and individual levels recently. There are a few studies considering the actual accident or road infrastructure to improve the quality of the highway, but they ignore the power of operation and maintenance (O&M) management involving multiple parties. Furthermore, there is no comprehensive scale to measure the effect of implementing management measures. Therefore, this paper aims to develop a comprehensive multidimensional evaluation framework that considers the integration of the actual business and the objective environment from four aspects: worker, equipment, environment, and management measures. The proposed framework evaluates the current O&M performance with the improved Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model, which is used to interpret the comprehensive index results, and highlights the differences and variations of the factors that influence the evaluation results based on the deconstruction analysis. We utilize a mixed dataset of the Hong Kong-Zhuhai-Macao Bridge (HZMB) for two consecutive years to evaluate the performance of each month. The results show that the evaluation framework can effectively measure the O&M performance, and “Worker- Quality of daily inspection work” was identified as the most critical factor affecting the O&M performance. In particular, a comprehensive multiparty operational status assessment helps to review and revise current management strategies for targeted improvements that will enhance the safety and quality of management.

A Color Image Encryption Method Based on Dynamic Selection Chaotic System and Singular Value Decomposition

As the basis for guiding business process decisions, flowcharts contain sensitive information pertaining to process-related concepts. Therefore, it is necessary to encrypt them to protect the privacy or security of stakeholders. Using the principles of image singular value decomposition, chaotic system randomness, and neural network camouflage, a business flow chart encryption method based on dynamic selection chaotic system and singular value decomposition is proposed. Specifically, a dynamic selected chaotic system is constructed based on the nonlinear combination of one-dimensional chaotic system Logistics and Sine, and its randomness is verified. Next, using the neural network, the process image is merged into a gray matrix. The double-bit unitary matrix scrambling based on singular value decomposition is then proposed. Subsequently, using the dynamic selected chaotic system, a new sub-division diffusion method is proposed, which combines, diffuses, and performs weighted superposition to generate a matrix after diffusion and compression. Finally, the asymmetric encryption method encrypts the color image and reduces its dimensionality into a single grayscale ciphertext, and the decryption process is not the reverse of the encryption process. Simulation results and performance analysis show that the proposed image encryption scheme has good encryption performance.

A Blockchain-Based Auction Framework for Location-Aware Services

As a critical factor in ensuring the growth of the electronic auction (e-auction) domain, the privacy and security of the participants (sellers and buyers) must always be guaranteed. Traditionally, auction data, including participant details, are stored in a third party (auctioneer) database. This leads to a high risk of a single point of failure in terms of privacy and security. Toward this end, blockchain technology has emerged as a promising decentralized communication paradigm to address such risks. This paper presents a blockchain-based auction framework as a decentralized e-auctioning framework for location-aware services. In particular, the framework consists of three components: pre-auctioning, main auctioning, and post-auctioning processes with four algorithms. Our primary focus is on location-aware services, such as storage space rental, apartment rental, transport hire, and parking space rental. The trading volumes are expected to be high; hence, simplifying the design is a crucial requirement. In addition to the benefits of eliminating the centralized entity (the auctioneer), fees are redistributed among participants as rewards. Further, we incorporate a service quality monitoring method that ranks the services provided by participants. This ranking allows participants to determine the rank of other participants with whom they wish to trade. We have conducted several experiments to evaluate the proposed framework’s cost feasibility and to ensure the ease of the business flow.

Application Research of Computer Artificial Intelligence Technology in Urban Smart Logistics System

This paper proposes the application objective and path of intelligent logistics. Urban smart logistics system is constructed by digitization of underlying elements, modeling of intermediate operations and intelligent management decision-making system. The system in the standardized logistics mode to promote the supply side and the demand side of the maximum degree of fit. Then this paper takes e-commerce platform, e-logistics platform and e-government platform as the basic framework to build an intelligent logistics system composed of supply subsystem, demand subsystem and supervision subsystem. Finally, the system realizes the effective integration of information flow, business flow, logistics and capital flow in the operation process of intelligent logistics mode based on big data cloud computing. Finally, this paper analyzes the practical application of intelligent logistics in the field of intelligent management and decision making. Experimental simulation shows that the logistics system can improve the efficiency of scheduling, transportation and other processes.

The Drivers of Changes in the State of Agrobiodiversity

The diversity of agricultural genetic resources is decreasing over the years and sites across the world. With the objectives of determining the drivers and their impact on agrobiodiversity particularly in Nepal, different methods e.g., focus group discussion, transact walk, key informant survey, and literature survey were used. Among the 16 broad categories of drivers, the most 5 important drivers in terms of negative impact on agrobiodiversity were the: 1) advancements and innovations in science and technology, 2) changes in land and water use and management, 3) alternative business and information flow, 4) population growth and urbanization, and 5) markets and trade. The most important specific driver is exotic varieties and breeds among 90 specific drivers. The earthquake of 2015 was a major disaster having damaged much local agricultural diversity in more than 14 districts of Nepal. Expansion of area for agricultural production, the establishment of a new settlement and various types of developmental activities have caused a loss of many wild relatives of agricultural species and wild edible species. Threat to crop diversity is high in rice, banana, cucumber, and tomato due to replacement of old cultivars by modern varieties. Threat to rice bean, horse bean, and foxtail millet is due to low priority given by growers and consumers. Invasive alien species like Parthenium, Eupatorium spp. and Lantana camara have had a significant effect on diversity and ecosystem services. The least affected agrobiodiversity components are microbial genetic resources. The important drivers e.g., exotic genotypes, external inputs, monogenotype-based monoculture policy and climate changes, should be given due attention to control and manage for better management of agrobiodiversity.

AN ASSESSMENT OF CHALLENGES AND FACTOR INFLUENCING THE FREIGHT FORWARDING BUSINESS IN THE LOGISTICS INDUSTRY

This research was undertaken with the sole aim of understanding some of the challenges and Factor Influencing the Freight Forwarding Business in the organizations involved the Forwarding and distribution of shipper Cargo encounter in their logistics operations. A freight forwarder is a person or company that organizes shipments for individuals or corporations to get large orders from the manufacturer or producer to market or final point of distribution. Forwarders will contract with a carrier to facilitate the movement of goods. A forwarder is not typically a carrier but is an expert in supply chain management. In other words, a freight forwarder is a "travel agent," for the cargo industry, or a third-party (non-asset-based) logistics provider. A forwarder will contract with asset- based carriers to move cargo ranging from raw agricultural products to manufactured goods. The term Logistics Management or supply chain management is that part of Supply Chain Management that plans, implements, and controls the efficient, effective, forward, and reverse flow and storage of goods, services, and related information between the point of origin and the point of consumption in order to meet customer's requirements. The research targeted a selected sample of Employees and representatives of transporters of goods and key management personnel of Companies Central Distribution Center based in the industrial area Chennai. The primary objective of this project is to conduct ‘A study on Challenges and factor influencing the freight forwarding business in the Freightkare Multimodal Logistics Pvt. ltd. It is important to analyze the problems faced by freight forwarders from the carriers as well as companies and individual customers. By studying and comparing the various problems faced by the freight forwarders. It is easy identifying the solutions to avoid the problems and make sure the smooth flow of business. This will help Freightkare Multimodal Logistics Pvt. ltd to establish a reasonable share in the marketplace.

The meaning of “strength executive" in the Constitutional Court decision for the execution of fiduciary securities

Judicial decisions must have legal implications for relevant parties. PMK No. 2/PUU-XIX/2021 remains debatable between creditors and debtors because it seemingly weakens the protection of creditors' rights. Creditors cannot immediately carry out enforcement procedures that cut off the creditor's business flow because the position of the subject of fiduciary obligations is in the debtor's control, making it possible for disputes between debtors and creditors. This normative legal research was conducted using a philosophical, juridical approach covering statutory policies, conceptual and case approaches. PMK No. 2/PUU-XIX/2021 does not regulate creditor legal provisions in enforcing fiduciary securities, making it difficult for creditors to execute them. The Constitutional Court should decide to guarantee justice for all parties and provide a decision with clear content and sentence structure, so multiple interpretations will not occur. The execution of fiduciary securities during the Covid-19 pandemic should not be immediately carried out because the creditor had to follow the predetermined procedures.