scholarly journals Risk Control of Manufacturing Enterprise Short-term Financial Investment Based on COSO-ERM and Industry 4.0

CONVERTER ◽  
2021 ◽  
pp. 388-397
Author(s):  
Lian He, Xiaoxin Chen
Keyword(s):  
Risk Management ◽  
Industry 4.0 ◽  
Probability Method ◽  
Short Term ◽  
Manufacturing Enterprise ◽  
Probability Curve ◽  
Strategic Objectives ◽  
Financial Investment ◽  
Risk Probability ◽  
And Control

In this paper, firstly, the risk management and control process of related enterprises after COSO-ERM framework is introduced and the risk assessment and control methods of related investment strategies are introduced emphatically by studying the short-term financial investment business of manufacturing enterprises.Then, the risk probability method for measuring the risk size and the possibility of achieving the expected goals is introduced. Next, the differences between the risk curve and the risk probability curve are further compared. Finally, in Industry 4.0, it is concluded that the introduction of COSO-ERM framework into manufacturing enterprise risk management will not only help to grasp the implementation of enterprise strategic objectives through effective internal control, but also help to effectively assess the risks of strategic objectives and the possibility of achieving strategic objectives.

scholarly journals Penerapan Manajemen Risiko terhadap Perwujudan Good Corporate Governance pada Perusahaan Asuransi

TRIKONOMIKA ◽  
2014 ◽  
Vol 13 (2) ◽  
pp. 195
Author(s):  
Yana Ayu Pradana ◽  
Brady Rikumahu
Keyword(s):  
Risk Management ◽  
Corporate Governance ◽  
The State ◽  
Strategic Objectives ◽  
Good Corporate Governance ◽  
Significant Difference ◽  
And Control ◽  
The Impact

Good Corporate Governance (GCG) is a system used to direct and control the company’s business activities. Risk emerges with the business activities of the company to achieve the company’s strategic objectives. Company needs to manage these risks to minimize the impact of risk and achieve the company’s strategic objectives. This study focuses on the effects that arise from the application of risk management to the realization of GCG through principles of GCG. There are 15 respondents from one of the State-Owned Enterprises in the area of insurance. Research shows that a significant difference between risk management and corporate governance of 53.40%. Risk management has an important role in the realization of corporate governance through effective risk management, so that the company can minimize the risks and impacts more carefully to take opportunities.

scholarly journals Assessment of risk management and control measures against coronavirus disease

2021 ◽  
Author(s):  
Khalil Ur Rehman ◽  
Shahla Andleeb ◽  
Saleh Alfarraj ◽  
Sulaiman Ali Alharbi ◽  
Adeel Mahmood
Keyword(s):  
Risk Management ◽  
Control Measures ◽  
And Control

scholarly journals Bioimpedance Guided Fluid Management in Peritoneal Dialysis

2020 ◽  
Vol 15 (5) ◽  
pp. 685-694 ◽  
Author(s):  
Na Tian ◽  
Xiao Yang ◽  
Qunying Guo ◽  
Qian Zhou ◽  
Chunyan Yi ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Survival ◽  
Fluid Management ◽  
Volume Overload ◽  
Short Term ◽  
Cardiovascular Disease Mortality ◽  
Technique Survival ◽  
Disease Mortality ◽  
Clinical Methods ◽  
And Control

Background and objectivesBioelectrical impedance analysis (BIA) devices can help assess volume overload in patients receiving maintenance peritoneal dialysis. However, the effects of BIA on the short-term hard end points of peritoneal dialysis lack consistency. This study aimed to test whether BIA-guided fluid management could improve short-term outcomes in patients on peritoneal dialysis.Design, setting, participants, & measurementsA single-center, open-labeled, randomized, controlled trial was conducted. Patients on prevalent peritoneal dialysis with volume overload were recruited from July 1, 2013 to March 30, 2014 and followed for 1 year in the initial protocol. All participants with volume overload were 1:1 randomized to the BIA-guided arm (BIA and traditional clinical methods) and control arm (only traditional clinical methods). The primary end point was all-cause mortality and secondary end points were cardiovascular disease mortality and technique survival.ResultsA total of 240 patients (mean age, 49 years; men, 51%; diabetic, 21%, 120 per group) were enrolled. After 1-year follow-up, 11(5%) patients died (three in BIA versus eight in control) and 21 patients were permanently transferred to hemodialysis (eight in BIA versus 13 in control). The rate of extracellular water/total body water decline in the BIA group was significantly higher than that in the control group. The 1-year patient survival rates were 96% and 92% in BIA and control groups, respectively. No significant statistical differences were found between patients randomized to the BIA-guided or control arm in terms of patient survival, cardiovascular disease mortality, and technique survival (P>0.05).ConclusionsAlthough BIA-guided fluid management improved the fluid overload status better than the traditional clinical method, no significant effect was found on 1-year patient survival and technique survival in patients on peritoneal dialysis.

scholarly journals EcoRacer: Game-Based Optimal Electric Vehicle Design and Driver Control Using Human Players

2016 ◽  
Vol 138 (6) ◽  
Author(s):  
Yi Ren ◽  
Alparslan Emrah Bayrak ◽  
Panos Y. Papalambros
Keyword(s):  
Optimization Problem ◽  
Solution Space ◽  
Efficient Global Optimization ◽  
Vehicle Design ◽  
Control Problems ◽  
Short Term ◽  
Algorithm Efficiency ◽  
Np Complete ◽  
And Control

We compare the performance of human players against that of the efficient global optimization (EGO) algorithm for an NP-complete powertrain design and control problem. Specifically, we cast this optimization problem as an online competition and received 2391 game plays by 124 anonymous players during the first month from launch. We found that while only a small portion of human players can outperform the algorithm in the long term, players tend to formulate good heuristics early on that can be used to constrain the solution space. Such constraining of the search enhances algorithm efficiency, even for different game settings. These findings indicate that human-assisted computational searches are promising in solving comprehensible yet computationally hard optimal design and control problems, when human players can outperform the algorithm in a short term.

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