Internal Control Management and Risk Prevention Measures of State-Owned Enterprises

As an important pillar of national economic development,state-owned enterprises,their operational efficiency,and risk management ability are directly related to the stability and security of the national economy.As an important part of enterprise management,internal control management plays an irreplaceable role.Especially in the current domestic and international economic situation is complex and changeable,market competition is increasingly fierce environment,to strengthen the internal control management of state-owned enterprises and risk prevention measures is particularly important.This paper starts with the importance of internal control management and risk prevention for state-owned enterprises,and analyzes the problems and strategies in the internal control management and risk prevention of state-owned enterprises,in order to build a more comprehensive and efficient risk management system for state-owned enterprises to adapt to the ever-changing market environment and realize sustainable development.

Enterprise Internal Control Based on Risk Management with Moutai Group as an Example

Focusing on the two themes of"internal control"and"risk management",this paper makes an in-depth analysis of the current situation of risk management and internal control of Moutai Group.It analyzes the current situation of risk management and internal control of Moutai Group.It is found that the risk management of Moutai Group is not perfect,the information exchange is not smooth,and the internal control assessment is not perfect.Finally,it puts forward some corresponding countermeasures,including establishing an effective information communication mechanism,perfecting the risk assessment system,and strengthening the construction of the professional talent team.

Analysis of International Cooperation Management Strategies of Enterprises under the Background of the“Belt and Road”

With the deepening of the“Belt and Road”initiative,Chinese enterprises are facing unprecedented opportunities and challenges for international cooperation.This paper mainly analyzes the current situation,existing problems,and coping strategies of enterprise international cooperation management in the context of the“Belt and Road”.This article expounds on the importance of the“Belt and Road”initiative for international cooperation of enterprises and analyzes the key links of international cooperation management of enterprises from the aspects of internationalization strategy,cross-cultural management,risk prevention and control,and resource integration.Finally,combined with the case,this paper puts forward the management strategies and suggestions that enterprises should adopt in international cooperation,to provide a useful reference for Chinese enterprises in international cooperation in the construction of the“Belt and Road.”

Research on Influencing Factors and Countermeasures of Risk Control of State-Owned Enterprises under the Background of Big Data

This study explores the risk control and response strategies of state-owned enterprises in the context of big data.Global economic uncertainty poses new challenges to state-owned enterprises,necessitating innovative risk management approaches.This article proposes response strategies from four key aspects:establishing a proactive risk management culture,building a foundation in technology and data,conducting big data-driven risk analysis,and implementing predictive analysis and real-time monitoring.State-owned enterprises can foster a proactive risk management culture by cultivating employee risk awareness,demonstrating leadership,and establishing transparency and open communication.Additionally,data integration and analysis,leveraging the latest technology,are crucial factors that can help companies better identify risks and opportunities.

A Proposed Method for Evaluating Management Feasibility When Determining Weed Control Priorities after Major Fires and Floods

Major fires and floods have enormous impacts on natural ecosystems and are predicted to increase in frequency with global warming.Land managers need to make decisions on the prioritisation of weeds for control in post-disturbance landscapes,but little is available in the way of guidance to support timely decision making.Semi-quantitative models(e.g.,scoring systems)have been employed routinely in weed risk assessment,which considers the potential impacts posed by weeds,as well as the likelihood of these impacts being realised.Some progress has been made in the development of similar models addressing the topic of weed risk management.Under conditions prevailing after major disturbances,changes(both positive and negative)can be expected in the multiple factors that determine weed management feasibility,relative to pre-disturbance conditions.A semi-quantitative model is proposed that is based on the key factors that contribute to weed management feasibility in post-disturbance environments,along with annotated modules that could be used by land managers in both post-fire and post-flood situations.The fundamental challenge for weed management in these scenarios lies in the identification of differences between weeds and native species in relation to(1)patterns of seedling emergence;and(2)detectability relative to the growth stage.These two factors will determine the timing of control actions that are designed to address the trade-off between weed control and off-target damage during the period when both types of plants are recovering from a major disturbance event.The model is intuitively sound,but field testing is required to determine both its practical value and any necessary improvement.

Problems and Measures in Internal Control and Risk Management of Drug Research and Development Enterprises

The internal control and risk managementof drug research and development enterprises directlyaffects the survival and development of enterprises.With the development of information technologyand the integration with the global economy,pharmaceutical companies are able to achieve moreachievements in development while facing increasingcompetitive pressures. Finance is a pivotal spine of acompany’s development. If the internal control andrisk management of a company are not complete andcomprehensive, the enterprise will inevitably turn intoa crisis. Therefore, it is necessary to strengthen theanalysis of the problems in the internal control andrisk management of drug research and developmententerprises, and propose corresponding solutions.

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments, but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT) model and the K-means cluster algorithm to produce a regional landslide susceptibility map. Yanchang County, a typical landslide-prone area located in northwestern China, was taken as the area of interest to introduce the proposed application procedure. A landslide inventory containing 82 landslides was prepared and subsequently randomly partitioned into two subsets: training data(70% landslide pixels) and validation data(30% landslide pixels). Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means cluster algorithm. The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC) curve) of the proposed model was the highest, reaching 0.88,compared with traditional models(support vector machine(SVM) = 0.85, Bayesian network(BN) = 0.81,frequency ratio(FR) = 0.75, weight of evidence(WOE) = 0.76). The landslide frequency ratio and frequency density of the high susceptibility zones were 6.76/km^(2) and 0.88/km^(2), respectively, which were much higher than those of the low susceptibility zones. The top 20% interval of landslide occurrence probability contained 89% of the historical landslides but only accounted for 10.3% of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without containing more " stable" pixels. Therefore, the obtained susceptibility map is suitable for application to landslide risk management practices.

Difficulties in Recruitment for a Randomised Controlled Trial of Lifestyle Intervention for Type 2 Diabetes: Implications for Diabetes Management

Objective: To report our experience of attempting a randomised controlled trial of an intensive lifestyle intervention for early type 2 diabetes delivered in a residential setting. Methods: We established a trial requiring 84 participants (46 standard care and 38 intervention) to detect a 1% difference in HbA1c between intervention and control groups at 12 months, allowing for attrition. Ethics approval was obtained from Monash University. Results: The study was abandoned after five months of consistent promotion due to recruitment failure (four subjects recruited). Conclusion: It appears to be difficult for patients with diabetes to commit to a live-in period of education regarding lifestyle modification as a means of treating the illness. We recommend better education of patients and their doctors about the potential health benefits of lifestyle change to manage type 2 diabetes, and further research into novel methods of delivering lifestyle advice which are both effective and sustainable.

Study of Strategic Management Oriented Enterprise Internal Control

Strategic management oriented enterprise internal control is an inevitable choice after the enterprise develops to a certain scale,and it is also an important starting point for enterprises to adjust their own strategic layout and resource allocation.With the continuous expansion of the scope of internal control supervision,the traditional mode of internal control supervision has become more and more restricted.In view of this,the present study started from the necessity of internal control supervision from the overall and top-level perspectives,and analyzed the current problems in the internal control of enterprises from the perspective of strategic management.The problems include the lack of methods and tools of strategic management,insufficient awareness of strategic risk management,insufficient expansion of internal control objects,insufficient prior intervention in internal control supervision,etc.Finally,it came up with the idea of constructing strategic enterprise internal control,in order to provide an effective reference for the study of enterprise internal control.

Discussion on Operation Risk and Management of Food Inspection Organizations

The paper introduced the significance of risk control in food inspection organizations,expounded the risk points of food inspection organizations from the aspects of human,machine,material,law,environment and testing of laboratory operation and gave corresponding risk management measures.This will help food inspection organizations' risk prevention and control to achieve effective management of inspection organizations.

Risk Management of Clinical Reference Dosimetry of a Large Hospital Network Using Statistical Process Control

Managing TG-51 reference dosimetry in a large hospital network can be a challenging task. The objectives of this study are to investigate the effectiveness of using Statistical Process Control (SPC) to manage TG-51 workflow in such a network. All the sites in the network performed the annual reference dosimetry in water according to TG-51. These data were used to cross-calibrate the same ion chambers in plastic phantoms for monthly QA output measurements. An energy-specific dimensionless beam quality cross-calibration factor, , was derived to monitor the process across multiple sites. The SPC analysis was then performed to obtain the mean, , standard deviation, σk, the Upper Control Limit (UCL) and Lower Control Limit (LCL) in each beam. This process was first applied to 15 years of historical data at the main campus to assess the effectiveness of the process. A two-year prospective study including all 30 linear accelerators spread over the main campus and seven satellites in the network followed. The ranges of the control limits (±3σ) were found to be in the range of 1.7% - 2.6% and 3.3% - 4.2% for the main campus and the satellite sites respectively. The wider range in the satellite sites was attributed to variations in the workflow. Standardization of workflow was also found to be effective in narrowing the control limits. The SPC is effective in identifying variations in the workflow and was shown to be an effective tool in managing large network reference dosimetry.

A Novel Method for Assessing and Optimizing Software Project Process Based Risk Control

A new approach for assessing and optimizing software project process based on software risk control presented, which evaluates and optimizes software project process from the view of controlling the software project risks. A model for optimizing software risk control is given, a discrete optimization algorithm based on dynamic programruing is proposed and an example of using above method to solve a problem is also included in this paper. By improving the old passive post-project control into an active effective preaction, this new method can greatly promote the possibility of success of software projects.

A New Sustainability Controlling Approach for Urban Water Systems： Multidimensional Risk Identification and System Analysis

There are many pressures on urban water systems in today＇s highly dynamic world. These include the diverse impacts that are summarized under the term ＂Global Change＂. At the same time, high demands on water utilities to act sustainably do exist. For this purpose, the collaborative project ＂Sustainability Controlling for Urban Water Systems＂ （NaCoSi） introduces an innovative approach with which sustainability risks can be identified and controlled. The sustainability controlling is based on common process-oriented management systems. The starting point is a system of sustainability objectives, which were developed together with practice partners from the German water sector. A method for multidimensional risk identification is introduced to identify sustainability risks. Complex networks of cause-effect relationships are disaggregated into unbranched linear causal chains, which are managed as records in a risk database. The subsequent analysis of the risk database allows the examination of cross-linked risks. Severe risk factors, vulnerable processes and sustainability objectives can thereby be identified and subsequently analyzed. The sustainability controlling was successfully tested and improved by an iterative process of case studies in cooperation with practice partners. The results of the case studies demonstrate the benefit of the project＇s interdisciplinary approach and the applicability of the sustainability controlling.

The Construction of Risk Management Control System for Commercial Banks： From the Perspective of the Management Team

Risk management control （RMC） system is of vital importance to firms, especially the commercial banks. However, the existing models of risk management are always built from the perspective of financial regulators and neglect the practicability within the organization. In order to better facilitate the enterprise risk management （ERM）, this paper is trying to construct a new framework of RMC system from the standpoint of the management team. The foundations of our design are COSO ERM report, as well as multi-disciplinary theories and methods, such as economy, psychology, and behavior. We establish a three-component RMC system for commercial banks, which include setting RMC standards, monitoring RMC execution, and rewarding results from standards execution. Then, we introduce an extended three-factor RMC system model. This system and its extended framework are meaningful and referential for both theory and practice of commercial banks＇ risk management.

Safety and Risk Management of Cosmetic Products

The safety and risk management of cosmetic products runs through the entire life cycle of the product. The author focuses on the safety of cosmetic products, starting from the three stages of cosmetics research and development, production and sales, pointing out the key control points at each stage, aiming to provide a reference for cosmetics companies to develop products.

Application and Exploration of Overall Risk Management in Construction Enterprises

This paper mainly starts from the perspectives of management and economics,combined with the characteristics of the construction industry,conducts qualitative and quantitative analysis of the risks involved,studies various factors that cause construction enterprise risks from multiple angles,and uses scientific and effective methods to identify and evaluate risks,as well as determine the risk level.Through the overall risk management response strategies and empirical research of construction enterprises,this paper analyzes the general theory and main avoidance strategies of risk response of construction enterprises,and lays the foundation for follow-up risk management response in the form of cases through the implementation of technical route and innovation points.

Fundamentals of modern ground control management in Australian underground coal mines

Underground coal mining is inherently hazardous,with uncontrolled ground failure regarded as one of only several critical risks for multiple fatality events.Development,implementation and management of overarching systems and procedures for maintaining strata control is an important step to mitigating the impact of ground failure hazards at a mine site operational level.This paper summarised the typical pro-active ground control management system(PGCMS)implemented in various Australian underground coal mines.Australia produces approximately 100 million tonnes a year of metallurgical and thermal coal from approximately 30 of the world’s safest longwall mines operating in New South Wales and Queensland.The increased longwall productivity required to achieve both high levels of safety and profitability,places significant emphasis on the reliability of pro-active ground control management for longwall mining operations.Increased depths,adverse geological conditions,elevated variable stress regimes and weaker ground conditions,coupled with an industry wide need for increased development rates continue to make ground control management challenging.Ground control management is not only about ground support and pillar design though but also a structured process that requires a coordinated effort from all levels of the workforce to both minimise the occurrence of adverse geotechnical events and mitigate the potential risks when they do occur.The PGCMS presented in this paper is proven to provide both a safer and more productive mine environment through minimisation of unplanned delays.The critical elements of the method are presented in detail and demonstrate the utility and value of a ground control management system that has potential for implementation in underground coal mining globally.

Risk management in open cut coal mines

There are a number of geotechnical systems used at open cut operations of Anglo American's Metallurgical Coal business unit in Australia. These systems are mainly mine site specific, based on geological information and used as hazard plans. They are qualitative and reliant upon the experienced judgement of site based engineers and the general workforce. They are not suitable for calculating the associated risks of geological structures and mining responses. A uniform risk rating system that can be used to provide an unbiased, standard and quantifiable assessment of the risk from highwall and lowwall failures is therefore developed using the experience gained with such systems in Anglo American's South African operations. This system is a semi-quantitative risk rating system and takes into account the relative differences in the importance of hazards as experienced at each mine site as a result of different combinations of geotechnical factors and mining conditions. It is based on critical geotechnical and other parameters that have been identified by site mining engineers, geologists and geotechnical engineers. The primary advantage of this risk rating system is that all open cut mines in the Anglo American's Metallurgical Coal operations use a near identical system, which enables the user to compare the risk after each blast and with other mines. The system can be adjusted to meet local mine specific requirements. The implementation of this system, a computer program that automatically calculates the risks and recommends predetermined controls, has been made as practical and as easy to use as possible. This program can be used by personnel from other mining disciplines not directly related to geotechnical engineering.

An application of insurance mechanism in risk management for energy internet

As a completely new residential distribution infrastructure,energy internet facilitates transactions of equipment,energy and services. However,there is security risk under all the facilities.This paper proposes an electricity pricing model based on insurance from the perspective of maximizing the benefits of Energy Internet service providers by using the principal-agent theory. The consumer prepays the provider insurance premiums and signs a contract. The provider sets electricity price according to the premiums and therefore provides differentiated electric services for the consumer. Loss suffered by the consumer due to the power failure is compensated by the provider according to the contract. The equivalent model is presented and a necessary condition of the optimal strategy is obtained on the basis of Pontryagin's maximum principle. At last,a numerical example is presented,which illustrates the effectiveness of the proposed model.

Study the closed loop management system for the coal mines based on risk management

In recent years, the coal safety has been become the urgent problem in China,and severe and fatal coal mine accidents occurred frequently.Must pay attention to coal safety management immediately, because the coal mine accidents not only caused serious economic losses to the country and people but also had negative impact on the society and politics.A closed loop management system was put forward to build to improve the coal safety management.The closed loop management system was formed four parts,identifying the hazard sources, classifying the hidden troubles hazard sources, the risk prealarm and risk control, and the evaluation system.