Enterprise Operation Management Research Articles

An enterprise operation management method based on mobile edge computing and data mining

An enterprise operation management method based on mobile edge computing and data mining

An enterprise operation management method based on mobile edge computing and data mining

An enterprise operation management method based on mobile edge computing and data mining

The implications of the carbon tax on the vehicle remanufacturing industry in the complex competitive environment

AbstractUnder the carbon tax policy, the vehicle remanufacturing has become popular, which threatens the new vehicle market. Facing the complicated competitive environment, the automobile manufacturer always adjusts product modular design to deal with the challenges from the internal and external remanufacturing. Currently, considering the impacts of the complicated market competitions and product modular design on the enterprise's operation management, how the carbon tax policy affects the vehicle remanufacturing is still uncertain. Thus, we construct a duopoly remanufacturing competition model consisting of an automobile manufacturer and remanufacturer with the aim of maximizing profit and determine the optimal product modular design, production, and remanufacturing decisions as well as profits. Then, we explore the impacts of the carbon tax on the vehicle remanufacturing supply chain from the perspectives of the economic, environment, and consumer surplus. The results show that the carbon tax is always disadvantageous to automobile manufacturer's profit but may benefit the automobile remanufacturer's profit. Contrary to the intuition, improving the carbon tax is not always conducive to the environment and harmful to the consumer.

Edge computing-based real-time scheduling for digital twin flexible job shop with variable time window

• A new R-DTFJSS idea was developed to realise high-efficiency production. • Edge computing-based R-DTFJSS framework can enhance the data processing ability. • A variable time window-based RS strategy was used to achieve operation allocation. • An IHA-based solve method was designed to reduce the computational complexity. Production scheduling is the central link between enterprise production and operation management and is also the key to realising efficient, high-quality and sustainable production. However, in real-world manufacturing, the frequent occurrence of abnormal disturbance leads to the deviation of scheduling, which affects the accuracy and reliability of scheduling execution. The traditional dynamic scheduling methods (TDSMs) cannot solve this problem effectively. This paper presents a real-time digital twin flexible job shop scheduling (R-DTFJSS) method with edge computing to address the issue. Firstly, an overall framework of R-DTFJSS is proposed to realise real-time scheduling (RS) through real-time interaction between physical workshop (PW) and virtual workshop (VW). Secondly, the implementation process of R-DTFJSS is designed to realise real-time operation allocation. Then, to obtain the optimal RS result, an improved Hungarian algorithm (IHA) is adopted. Finally, a case simulation from an industrial case of a cooperative enterprise is described and analysed to verify the effectiveness of the proposed R-DTFJSS method. The results show that compared with the TDSMs, the R-DTFJSS method can effectively deal with unexpected and frequent abnormal disturbances in the production process.

Research on Business Model Innovation based on Big Data Analysis in Internet Plus

Business model is considered to be the integration of enterprise economic structure, operation management and strategic management. Through the operation of business system, it can improve performance, create consumption value, build internal structure and finally form a unique competitive advantage in the market. Because the information that a natural person can use to choose investment projects is limited, the decision-making under the condition of limited information seriously affects the rational level of his investment and reduces the efficiency of his investment decision-making. As far as the development of big data in China is concerned, the Internet is the fastest field for the development and application of big data technology. Operators such as Baidu and Taobao have begun to take shape, and the services provided by them have also become the main source for the public to experience and know about big data. Based on the analysis of big data under the background of Internet, the process of enterprise value creation has been changed, and data-driven production and operation activities have been realized. At the same time, the mobile Internet has changed the interactive way among members of the value network, and made real-time and interactive value transfer possible.

Research on Management Accounting Framework and Quantitative Correlation Based on Hall Three-Dimensional Structure

The management accounting framework aims to improve the operation control ability. It is the integration of the comprehensive use of management accounting tools. Given the lack of an internal relationship between management methods and operation control in the previous research on management accounting framework systems, this paper puts forward the purpose of this research. We use Hall's three-dimensional structure model for reference to construct the management accounting framework based on operation control and study the characteristics of operation control with the contingency elements such as organizational structure, control methods, and ability improvement as the logical dimension; taking eight tools such as comprehensive budget, performance evaluation, and responsibility body as the knowledge dimension to promote the application of management accounting, the enterprise operation matrix is defined. DSM method is used to study the quantitative correlation between operation control and management accounting tools and reveal the quantitative relationship between management accounting tools. Finally, the case of China Unicom verifies the core role of a comprehensive budget in enterprise operation management and reveals the significant correlation and hierarchical characteristics between management accounting tools. The research methods proposed in this paper can enrich the framework theory of management accounting and have enlightenment in guiding the practice of enterprise operation and management.

Purchasing Warning Mechanism Based on Text Sentiment Analysis

Under the background of economic globalization and professional division of labor, each link of enterprise supply chain management is facing more and more risks. Over the past two years, due to the turbulent situation at home and abroad and the repeated outbreaks of COVID-19 around the world, the normal procurement work has been greatly affected which means the purchase cost increases and even out of stock occur. The rapid development of big data, artificial intelligence and other technologies has brought new tools and means for enterprise risk management. This paper focuses on the procurement work in enterprise operation management, and analyzes how to obtain procurement related news or current review texts, and analyzes their emotional tendency to evaluate and quantify the public opinion risk of procurement by natural language processing (NLP), denoted as NLP. By combing the crawled text data, we add some purchase related words to a corpus which can analyze good and bad emotions and train a model. We use the model to score the manually labeled text data to determine the optimal threshold of positive news and negative news. Under this threshold, the accuracy of text emotion analysis is 85.4%. Finally, through a case analysis, we show the specific implementation of procurement public opinion risk score evaluation.

Application of Data Mining in the Evaluation of Enterprise Lean Management Effect

In order to improve the effect of enterprise lean management, this study proposes a lean data mining algorithm based on the characteristics of lean data in enterprise management. This study connects data mining and lean production to study the data of enterprise management operation, proposes an intelligent data processing model suitable for modern enterprise management, and constructs the model function module in combination with the enterprise operation management process. Moreover, this study constructs an evaluation system for the effect of enterprise lean management based on data mining. The system provides a human-computer interaction interface, and operators can use various functions and services provided by the system through a visual interface. Through experimental research, it can be known that the enterprise lean effect evaluation system based on data mining proposed in this study can play an important role in enterprise lean management.

Research on Computer Aided Risk Evaluation Model through Fuzzy Hierarchical Analysis

China does not yet have a set of standardized and easy-to-operate decision-making system for banks to refer to and apply to MSMEs, so it is crucial to establish a set of credit risk assessment strategies that meet the characteristics of MSMEs. The financial risk of MSMEs can be assessed by the combination of both financial and non-financial indicators. The financial indicators can be refined into three indicators: solvency, profitability and growth ability, among which, solvency can be reflected by credit rating and default or not, profitability can be reflected by operating profit margin and return on assets, and growth ability can be reflected by the growth rate of total assets; non-financial indicators can be refined into industry prospect risk, enterprise operation risk, management quality and enterprise's influence on upstream and downstream. influence. Finally, in order to quantitatively analyze the credit risk of the enterprise, the weights of the indicators of the credit risk assessment system should be determined. In this paper, we use fuzzy hierarchical analysis to quantitatively describe the problem. Thus, the comprehensive credit risk rating score of each enterprise is calculated, and it is graded to find the loan amount and operating profit margin under the corresponding level, and finally the bank credit strategy is given. Then, the total sales data and credit rating of several enterprises are used as the input and output layers of the 3-layer neural network for training, respectively. Based on this, the relationship between annual loan rate and customer churn rate is analyzed, and a multi-objective planning model is built with the objective of minimizing customer churn rate and maximizing bank profitability to determine the bank lending strategy through MATLAB.

Research on XBRL Financial Reporting Model under Big Data

The third wave of informatization marked by cloud computing, Internet of Things, and big data is coming. The application of informatization is expanding from the enterprise level to the social level. The enterprises will face the reconstruction of computing platforms and information platforms, as well as the reconstruction of enterprise operation management models and business models. This article conducts extensive surveys and statistics on the application of XBRL financial reports under the big data environment from the two dimensions of the supervisory level and the enterprise, and conducts visual analysis and in-depth discussion, in order to use big data technology to improve the quality of XBRL financial report submission information.

Private Equity Investment Funds' Impact on Operational Capabilities: A Port Enterprise Sample

Xu, J. and Liu, J.G., 2020. Private equity investment funds' impact on operational capabilities: A port enterprise sample. In: Qiu, Y.; Zhu, H., and Fang, X. (eds.), Current Advancements in Marine and Coastal Research for Technological and Sociological Applications. Journal of Coastal Research, Special Issue No. 107, pp. 334-340. Coconut Creek (Florida), ISSN 0749-0208.Based on the unbalanced panel data of 544 listed port enterprises of New Third Board Market from 2011 to 2016, this paper empirically analyzes the impact of private equity investment funds on the operational capabilities of port enterprises. The empirical results show that with the increase of the private equity holdings, the total asset turnover rate and inventory turnover rate of port enterprises increase, the asset-liability ratio decreases, the operational capacity is enhanced, and the solvency is improved. On the basis of the fact mentioned above, the development environment of coastal area enterprise operation management is further optimized. Through conducting round return for the fund, this paper finds the later the private equity fund enters the coastal area enterprise, the more rounds it enters indicating that the higher the private equity fund management party recognition to the invested port enterprises, and the more participation in the operation management after entering the enterprise, the more comprehensive impact on the operational capabilities of the port enterprises.

An Enterprise Credit Evaluation Method for Power Grid Service Providers Based on Block Chain is Presented

As the main content of credit investigation, credit management is an important part of enterprise operation management, and it plays a dominant role in the management of enterprise personnel, funds, contracts, bidding and other management. The management of credit is essentially the management of data. Traditional credit investigation agencies collect user data through various technical means and establish a credit investigation management database. However, the reliability of data obtained in this way is not guaranteed. The emergence of blockchain theoretically solves the problem of data reliability, and provides a new method for credit investigation, but it can not guarantee the authenticity of the data itself, that is, the nodes that get the accounting can upload the fake data content to the blockchain without verifying the data content itself. How to reduce the damage caused by this uncertainty to the operation and management of enterprises is a major scientific problem that urgently needs to be solved.Therefore, this paper will make research on the consensus mechanism supporting the reliability of data content and the data standardization technology of uploading to blockchain. The main research content includes: 1. Propose a dynamic weight voting consensus mechanism based on incentive mechanism; 2. Propose the standardization technology of data uploading to block chain based on smart contract.The proposal of two technologies provides theoretical support for the authenticity and standardization of blockchain data content. Finally, taking the power grid bidding management as an example, based on the consensus mechanism and the standardization technology of data uploading to block chain proposed in this paper, construct a power grid service provider credibility evaluation model.

Study on the Effectiveness Evaluation of Internal Control of Food Enterprises based on the Improved Matter-element Model

The internal control plays an important role for enterprise operation management and also becomes the effective method for enterprise to prevent and resist risk. Facing fierce international competition, China's food industry must strengthen its own management to promote its core competence; therefore, the study of effectiveness evaluation of internal control of food industry can avoid slowing down its development because of its internal defect. The effectiveness evaluation index system of internal control of food enterprises is established based on the internal environment, risk assessment, control activity, information and communication, internal supervision, etc. and the effectiveness assessment model is built based on matter-element model, which provide support for the effectiveness evaluation index system of internal control of food enterprises.

Research on Agri-Food Cold Chain Logistics Management System: Connotation, Structure and Operational Mechanism

Along with the demand of development, this paper will define agri-food cold chain logistics management system. It is a general term of management system, organization system, standard system, running mechanism, etc. According to the activities and characters of agri-food cold chain logistics, the content of agri-food cold chain logistics management system includes three levels of management activities. There are macro management and part of the industry management of the government-led agricultural cold chain logistics activity, industry management of industry association as the main body, and micro enterprise operation management of enterprise as the main body. In addition, this paper will draw lessons from the city of agricultural products cold chain logistics management experience in the international, the main behavior of the logistics market, strengthen monitoring and early warning, strengthen the whole process, and make market access strictly and other key links have to be closely surrounded. Through improving agricultural products cold chain logistics management laws and regulations system, standard system, management system, testing system, certification system, technology supporting system, information service system, and establishing emergency mechanism and other agricultural products cold chain logistics security support system, government, industry, consumers, media, education and scientific research institutions and other relevant parties can take many aspects, many angles, many levels mutually supporting measures, in order to establish and improve the agricultural products cold chain logistics safety control system, and establish the whole process control system from farm to table, to ensure the safety of agricultural products cold chain logistics.

Freight vehicle dispatching problem with capital constraints by genetic algorithm

Enterprise operation management mainly includes production decisions and capital decisions. This paper proposes a vehicle dispatching decision problem considering capital constraints. First, a freight vehicle dispatching model with capital and time windows constraints is devised with an objective of maximizing profit. Then, a two-stage algorithm is developed. In the first stage, a genetic algorithm is employed to get feasible vehicle routes. In the second stage, a regulation is used to improve the present routes by discarding the customers whose profit ratio of cost is minimized. Finally, a case study illustrates that the profit ratio increases by 54% through the proposed method and the capital investment decreases by 30% when considering the capital constraints.

An Empirical Study on the Benefit Analysis of Enterprises across the Strait Using ERP Systems

As the world economy evolves with the process of globalization and internationalization, it has been a huge challenge for the enterprises of Taiwan confronting the mobility and toughness throughout the global market. In order to respond to the flourishing development of enterprises across the strait and the expansion on new sector, “inquiry processed in Taiwan, manufactured in Mainland China, and marketed toward the entire world.” is a very critical strategy for Taiwan’s enterprises to respond to the rise of China and globalization. The production and marketing strategy must be conducted and reacted closely to the market; furthermore, the manager of enterprises must be well informed of the movement of the industry worldwide, and be capable of integrate all the resources available. In addition to the HR, finance, material, technology, information, and production within an enterprise, enterprises should be vertically synergize the upstream and downstream supplier to present a complete supply-chain model and operation procedure, so to possess sufficient information during the process of decision making. For the enterprises across the strait, establishing a factory in China does enjoy the low cost advantage, yet the problems of enterprise operation management cannot be ignored relatively. Previous studies rarely focused on the beneficial analysis of enterprises across the strait by installing ERP systems. This dissertation is dedicated to elaborate the motivation of the enterprises across the strait use ERP system by sorting and demonstrating relative studies of the previous studies, and shared the successful case of how ERP system installed have contribute to individual companies. It can serve as a solid reference for companies across the strait who is planning to install ERP systems and furthermore benefits in their planning to establish a effect-improvement strategies while doing so. In this study sets to analyze the benefits by conducting questionnaire survey, and thorough interviews with employee of case study to gather and sort the benefit of management of case study from both sides of the strait, and take other enterprises as reference on problem solving. According to the result, it is evident that necessity and effectiveness for enterprises to implant ERP. The benefit of implanting ERP like strengthening the internal control and reduces operational risk, as a consequence it does increase of enterprise’s value, the enhancement of decision quality to accelerate the reaction ability, and elevates the competitiveness assumed by digitized information. All the above benefits have its remarkable effect. It can make the enterprise of across the strait gain instant control of the condition and information, and respond the dynamic market immediately to deal with the competition of globalization.

Carbon Efficient Supply Chain Management: Literature Review with Extensions

In low carbon economy, carbon emissions permit has become a kind of resource; in the market economy system, new economic relations between enterprises have appeared, these characteristics make enterprise operation cost structure and profiting pattern changed. The paper reviews the previous literature on carbon footprint, production optimization theory individual enterprise and supply chain operation management with carbon emissions constraints. Then the paper put forward four worth further research directions: Carbon emission cost distribution and scientific measurement in supply chain; supply chain operation based on consumer behavior in Low Carbon Economy Era; optimizing the allocation of carbon emissions permit in supply chain; Dynamic Multi-period operation optimization of carbon efficient supply chain.

A framework for virtual enterprise operation management

This paper presents researches on operation management for virtual enterprises (VEs). A virtual enterprise is a temporary alliance of member enterprises (MEs) formed to exploit fast-changing opportunities. During the operation of a virtual enterprise, its constituent member enterprises, which are geographically distributed and organizationally independent, collaborate with each other to execute the whole business process (BP) of the virtual enterprise. With the aim of addressing business integration for virtual enterprises, this paper develops a framework for virtual enterprise operation management. From the viewpoint of business processes, carried out is integral research on business process modeling, analyzing, and managing for virtual enterprises. Both the distributed business process model and the model of the virtual enterprise itself are established. The former provides the functional basis of the virtual enterprise operation, while the latter provides its structural basis. Further, the two models are integrated through the loading from the distributed business process model to the virtual enterprise model. Through such model separation and integration, business process management for virtual enterprises is enacted and business integration for virtual enterprises is achieved.