Doing the Right Things Through Operator Proactive Monitoring

Operator Proactive Monitoring is one of the critical paths to Ensure Safe Production. The objective is to ensure that facilities are proactively monitored to retain the best possible level of situational awareness. It is achieved by monitoring and control the unit and equipment to avoid exceeding a safe limit while meeting all operational and business targets. It promotes early detection & appropriate intervention to an arising abnormal situation. Operator Proactive Monitoring covers a wide range of activities from a control room and field operation. ADNOC Gas Processing, in line with the digital transformation program, has enterprise assets/equipment through implementing Operator Proactive Monitoring for control room and field operator. Operator rounds play an essential role in improving plant reliability and safety. This research aims to measure the effectiveness of the Operator Proactive Monitoring by the Ruwais NGL Operation division at ADNOC Gas Processing. By "doing the right thing," Operator Proactive Monitoring effectively supports and improves process safety culture in the operation business of Ruwais Plant division of ADNOC Gas Processing.

Air Pollution, Residents’ Happiness, and Environmental Regulation: Evidence from China

Using data from the China General Social Survey and data on air pollution, this study explores the impact and the critical path of air pollution on residents’ happiness in China and evaluates whether environmental regulations can alleviate these effects. A probit model is used to analyze the impact of air pollution on residents’ happiness, and wind speed is taken as the instrumental variable of air pollution to overcome endogeneity. A stepwise regression is used to test the critical path of air pollution on residents’ happiness. Finally, the effects of environmental regulations are considered by adding an interaction term between environmental regulation and air pollution. The following conclusions are drawn. First, air pollution can significantly impair residents’ happiness, especially those who have children, are younger, are in poor health, have a lower education level, have lower income, and live in a rural area. Second, there are two critical paths through which air pollution impairs residents’ happiness: mental health level and the frequency of leisure activities. Finally, command-and-control, market-based, and voluntary environmental regulations can all effectively alleviate the impact of air pollution on residents’ happiness.

Evaluation of the causes of flexible pavement failure; case study of Enugu/Port-Harcourt expressway

This study examined the causes of flexible pavement failure, taking the Enugu/Port-Harcourt expressway as a case study; to understand possible peculiarities. Chainages 101+400 and 125+925 were the most critical, having potholes of 500mm in depth; hence, soil samples were taken from these spots. The following tests were conducted: Particle size distribution, Atterberg limits, Permeability, Compaction, and California Bearing Ratio (CBR). The results obtained showed evidence of presence of clay in the subgrade; hence, concluding that the failure was mainly caused by poor soil material. From visual condition survey, it was noted that there were no drainages even at the critical paths of the alignment, and there was a significant proportion of Heavy Goods Vehicles (HGVs) which may not have been adequately considered during design.

Application Of CPM Methode (Critical Path Methode) In Controlling The Time 100 Teus Contrainer Ship Hull Construction Project

Construction projects are generally the most high-risk businesses, especially shipbuilding projects. Efforts to reduce the risk can be done by minimizing the potential risk. This study aims to see potential high risk and prevent delays in the completion of ship construction using the Critical Path Method CPM at PT. XYZ. By using the Critical Path Method CPM critical paths can be given more attention so that they will not interfere ship construction projects. In addition, it is also a form of anticipation if there is a delay, it is possible to reschedule.

Understanding people's participation in online charities: a dual-process approach of trust and empathic concern

PurposeThe rapid development of the Internet in China has profoundly affected the country's charities, which many people support through online donations (e.g. providing financial help) and charity information forwarding (a new behavior of participating in online charities via social media). However, the development of online charities has been accompanied by many problems, such as donation fraud and fake charity information, which adversely affect social kindness. The purpose of this paper is to understand people's online donation and forwarding behaviors and to explore the mechanisms of such behaviors from the perspectives of cognitive-based trust and emotional-based empathic concern.Design/methodology/approachThis study developed a research model based on the elaboration likelihood model (ELM) and stimulus–organism–response (SOR) model. The researchers obtained 287 valid samples via a scenario-based experimental survey and conducted partial least squares structural equation modeling (PLS-SEM) to test the model.FindingsThe results indicated that (1) online donation intention is motivated by rational-based trust and emotional-based empathic concern; (2) online charity information forwarding is triggered only when trust is built, and there is no significant correlation between empathic concern and forwarding intention; and (3) content quality, initiator credibility, and platform reputation are three critical paths to promote trust; in addition, an individual's empathic concern can be motivated by the emotional appeal.Originality/valueThis study highlights the different mechanisms of donation and forwarding behaviors and provided theoretical measures for motiving trust and empathic concern in the online context to promote people's participation in online charity.

Integrating Resilience in Time-based Dependency Analysis: A Large-Scale Case Study for Urban Critical Infrastructures

As critical systems shall withstand different types of perturbations affecting their functionalities and their service level, resilience is a very important requirement. Especially in an urban critical infrastructures where the occurrence of natural events may influence the state of other dependent infrastructures from various different sectors, the overall resilience of such infrastructures against large scale failures is even more important. When a perturbation occurs in a system, the quality (level) of the service provided by the affected system will be reduced and a recovery phase will be triggered to restore the system to its normal operation level. According to the implemented recovery controls, the restoration phase may follow a different growth model. This paper extends a previous time-based dependency risk analysis methodology by integrating and assessing the effect of recovery controls. The main goal is to dynamically assess the evolution of recovery over time, in order to identify how the expected recovery plans will eventually affect the overall risk of the critical paths. The proposed recovery-aware time-based dependency analysis methodology was integrated into the CIPCast Decision Support System that enables risk forecast due to natural events to identify vulnerable and disrupted assets (e.g., electric substations, telecommunication components) and measure the expected risk paths. Thus, CIPCast can be valuable to Critical Infrastructure Operators and other Emergency Managers involved in a crisis assessment to evaluate the effect of natural and anthropic threats affecting critical assets and plan proper countermeasures to reduce the overall risk of degradation of services. The proposed methodology is evaluated in a real scenario, which utilizes several infrastructures and Points of Interest of the city of Rome.