Level Of Assets Research Articles

THE ROLE OF REGIONAL RURAL BANKS (RRBs) IN RURAL DEVELOPMENT WITH SPECIAL REFERENCE TO PRATHMA BANK, UTTAR PRADESH

Rural development is a cornerstone of India's socio-economic progress, as a significant portion of the population resides in rural areas where agriculture and small enterprises drive the economy. Regional Rural Banks (RRBs), established to bridge the credit gap in these regions, play a crucial role in promoting financial inclusion, enhancing agricultural productivity, and fostering sustainable rural development. This paper examines the multifaceted contributions of RRBs, with a specific focus on Prathma Bank in Uttar Pradesh, which has emerged as a vital institution in the rural banking landscape. The research highlights how Prathma Bank has effectively catered to the financial needs of marginalized farmers, women entrepreneurs, and small business owners through innovative lending products and microfinance initiatives. By promoting self-help groups (SHGs) and providing access to essential financial services, Prathma Bank has empowered rural communities, improved livelihoods, and stimulated local economies. Furthermore, this study analyzes the challenges faced by Prathma Bank, including high levels of non-performing assets (NPAs), limited technological infrastructure, and the need for enhanced financial literacy among rural populations. It underscores the importance of leveraging technology and expanding outreach to ensure sustainable development in rural areas. The findings suggest that while Prathma Bank has made significant strides in promoting rural development, strategic interventions and policy reforms are necessary to address operational challenges and maximize its impact. Recommendations include strengthening risk management frameworks, expanding product offerings, enhancing governance, and fostering public-private partnerships. This paper concludes that RRBs like Prathma Bank are not only pivotal in facilitating access to credit but also play an essential role in the holistic development of rural economies, making them indispensable to India's growth narrative

Optimizing Organizational Efficiency: Strategic Requirement of Modern Industrial Asset Level Management

Asset Hierarchy Management (AHM) is not just a theoretical concept but a practical tool for optimizing operations in modern businesses, particularly in sectors with intricate infrastructures such as manufacturing, utilities, and healthcare. This research paper explores the significance of AHM in standardizing and enhancing organizational efficiency. It traces AHM's evolution, delineates its benefits, and provides strategies for implementation. By emphasizing the tangible benefits of AHM, the paper aims to instill optimism in the audience about its potential impact. The paper outlines prerequisites and steps for developing a robust asset hierarchy, stressing transparent governance and integration with technology solutions like Enterprise Asset Management (EAM) software. Furthermore, it presents a detailed framework for implementing AHM in manufacturing plants, highlighting the importance of defining clear asset categories, hierarchical levels, and relationships. By adhering to best practices and leveraging advanced tools, organizations can effectively manage assets, drive operational excellence, and achieve sustainable growth.

Does Bank Monitoring Reduce Corporate Misreporting? Evidence from Foreign Bank Entry in China

We propose a model of bank monitoring and borrower financial misreporting. Using the staggered liberalization of the banking sector in China as a natural experiment, we find that, consistent with the model’s prediction, entry by more efficient foreign banks reduces corporate misreporting fraud. Fraud reduction is greatest among borrowers of foreign banks, but fraud also drops among borrowers of domestic banks, suggesting a spillover effect. As predicted by the model, fraud reduction is greatest for borrowers with higher levels of fixed assets or lower levels of current assets. Our evidence suggests that improved bank monitoring reduces financial misreporting. This paper was accepted by Tomasz Piskorski, finance. Funding: M. Li acknowledges support from the National Science Foundation of China [Project 71402078] and the Social Science Foundation of Tsinghua University [Project 2013WKZD004]. Supplemental Material: The online appendices and data files are available at https://doi.org/10.1287/mnsc.2022.02414 .

Empirical Analysis of the Relationship Between Debt Level and Business Performance of List Companies in the A-share Real Estate Industry

Since China's reform and opening, the real estate industry has moved towards marketization, with rapid development with the help of market opportunities and financial leverage. However, in recent years, China has continued to promote industrial structure transformation and deleveraging, and affected by the world economy, the epidemic, and other factors, the market has continued to cool, and the past development situation is no longer applicable to the present, and the change in the real estate industry is imminent. Taking the real estate enterprises listed in Shanghai and Shenzhen A-shares as the analysis object, this paper uses the data from three consecutive years from 2019 to 2021, uses the Stata data analysis tool to conduct empirical analysis, and analyzes the relationship between the debt level and business performance of enterprises in the real estate industry in different regions through descriptive statistical analysis and multiple linear regression analysis. The results show that the results vary in different regions, and there is a significant positive correlation between the operating performance and debt level of real estate enterprises in other regions, while the north, Shanghai, and Guangzhou regions do not. The state should strengthen supervision, encourage new financing channels, promote the transformation of enterprise asset structure, optimize the level of assets and liabilities, and then reduce financial risks and ensure the benign development of the market.

Physics-guided federated learning as an enabler for digital twins

Digital twins bring the potential to increase the efficiency of assets, systems, and processes by building virtual replicas through real-time data and modeling. However, data are often confidential and distributed, high-fidelity models based on physical principles tend to be slow and require detailed knowledge about the asset design that may not be available, simplified models lack accuracy, and data-driven models are not interpretable and limited to their training space. We demonstrate the interplay of two enabling technologies, namely federated learning and hybrid analysis and modeling, to combine the strengths of physics-based and data-driven models on distributed data sets that are kept confidential by different stakeholders. Throughout the work, an ensemble of physics-guided neural networks is designed, optimized, and validated to infer the parameters of digital twin components. The physics-guided neural network is injected with output from a simplified physics-based model in intermediate layers for increased performance, and the injection layer is optimized through weight regularization. The model is then integrated into a simulation of the digital twin asset and validated there. It is shown that the model outperforms the simplified physics-based and the data-driven models both on component and on asset level. In the final step, the physics-guided neural network is trained using federated methods, which allows training on confidential data owned by different stakeholders without requiring the stakeholders to share their data. We show that federated hybrid models can – with the right training strategy – by design achieve results that are always identical and potentially superior to models trained on a central data set. The problem chosen for this demonstration is the prediction of airfoil lift and drag coefficients based on the airfoil shape and the angle of attack, which is a task crucial for simulating wind turbines. Using the physics-guided neural network, the estimation of the airfoil coefficients experiences a speedup of several orders of magnitude compared to the high-fidelity simulation, and integration into blade element momentum theory shows that the turbine thrust, torque, and mechanical power can be accurately calculated. The federated approach makes it possible to extend the training of the model to any number of distributed confidential data sets from both simulations and experiments to further increase the model’s accuracy.

Towards an open pipeline for the detection of critical infrastructure from satellite imagery—a case study on electrical substations in The Netherlands

Abstract Critical infrastructure (CI) are at risk of failure due to the increased frequency and magnitude of climate extremes related to climate change. It is thus essential to include them in a risk management framework to identify risk hotspots, develop risk management policies and support adaptation strategies to enhance their resilience. However, the lack of information on the exposure of CI to natural hazards prevents their incorporation in large-scale risk assessments. This study sets out to improve the representation of CI for risk assessment studies by building a neural network model to detect CI assets from optical remote sensing imagery. We present a pipeline that extracts CI from OpenStreetMap (OSM), processes the imagery and assets’ masks, and trains a Mask R-CNN model that allows for instance segmentation of CI at the asset level. This study provides an overview of the pipeline and tests it with the detection of electrical substations assets in the Netherlands. Several experiments are presented for different under-sampling percentages of the majority class (25 %, 50 % and 100 %) and hyperparameters settings (batch size and learning rate). The highest scoring experiment achieved an Average Precision at an Intersection over Union of 50 % of 30.93 and a tile F-score of 89.88 %. This allows us to confirm the feasibility of the method and invite disaster risk researchers to use this pipeline for other infrastructure types. We conclude by exploring the different avenues to improve the pipeline by addressing the class imbalance, Transfer Learning and Explainable Artificial Intelligence.

What drives solar energy adoption in developing countries? Evidence from household surveys across countries

This study investigates household solar energy uptake in developing countries by combining household surveys for 11 countries with area-level data. We use data from World Bank surveys for countries in Africa, Asia, and Central America. Our probit regressions use up to 36,653 household observations and cover actual uptake rather than intentions. The main result shows that households further from capital cities are less likely to have solar home systems. Furthermore, there are strong links between assets and solar uptake across solar types such as solar home systems, solar lighting systems, and solar lanterns. This is an important finding given the small number of prior studies that use actual uptake data for developing countries and the mixed results from prior literature. We do not find evidence that households in sunnier areas are more likely to have solar home systems across countries. This study motivates policymakers to consider greater support for households far from capital cities, in sunnier regions, and with low levels of assets.

Technology transfer as a tool for managing the regional innovation economy

Relevance. The Russian economy is moving to a new innovative level of development, and actively implemented projects in the field of digital transformation form the basis for creating a long-term and secure information and telecommunications infrastructure capable of providing high-speed transmission, processing and storage of large amounts of data, which will be available to a wide range of enterprises.The purpose of the study is to identify the role of technology transfer in the management of the regional innovation economy and current trends.Objectives: to study the indicators of Internet use by the population for ordering goods and services in urban and rural areas; to assess the dynamics of gross value added of the ICT sector and GDP; to assess the demand of economic and social sectors for digital technologies; to propose ways to solve these problems of digitalization of Russian enterprises.Methodology. The methods of system analysis, deduction and induction, analysis and synthesis are used.Results. Russian enterprises are experiencing significant difficulties in the process of technology transfer to the digital space due to the lack of deep readiness to accept and use open innovations, as well as due to restrictions on the free exchange of intellectual property results and insufficient level of asset sharing. These factors can slow down the pace of technology transfer of enterprises and create obstacles to their competitiveness in today's digital business environment. It is necessary to actively develop technology transfer mechanisms that promote the exchange of knowledge and resources in order to increase efficiency to the new challenges of the digital economy.Conclusions. Economic measures of technology transfer, including bans on access to foreign digital products and services, have not only negative consequences. Currently, consumers in Russia who are accustomed to using digital solutions from foreign manufacturers are faced with the need to switch to domestic analogues of technology as a result of the restrictions imposed.

Unaffordable, untrustworthy, or unnecessary? Reasons for foregoing building, home contents, and comprehensive car insurance in disaster‐prone Australia

AbstractIn Australia, building, home contents, and comprehensive car insurance facilitate the accumulation of assets associated with rational, responsible citizenship while promising protection in case of events such as fire, flooding, car accident, or theft. Yet many Australians lack these insurance products, risking exposure to devastating financial losses when disaster strikes. This article compares the findings of online surveys of insured and uninsured Australians and explores the factors driving some to forego insurance coverage. Our findings show that inability to afford premiums is a major driver of noninsurance in Australia, particularly for people with low levels of disposable income and assets, or those living in areas affected by rising disaster risk. Yet the decision to forego insurance is also influenced by attitudes to financial matters. Australians who forego insurance have lower levels of trust in insurance and are less likely to consider themselves under a social obligation to be insured. However, contrary to portrayals of the uninsured as risk‐takers, the decision to forego coverage does not appear to be driven by lesser risk aversion among uninsured Australians relative to those who do purchase building, home contents, and comprehensive car insurance policies.

ESG integration strategy with a multivariate normal distribution

Purpose: The paper aims to present a new framework for ESG integration strategies in portfolio optimization problems. The optimization in the new structure focuses on the portfolio level, and the procedure is not focused on utility functions or on preliminary weights applied to the asset level. It applies the resampling technique, and all the portfolios are optimal portfolios in the mean-variance space. It uses a filtering process where only optimal portfolios with lower ESG risks are considered. Therefore, this technique works only with optimized portfolios, avoids concentration bias, and considers estimation errors in the expected returns and in the covariance matrix. Design/methodology/approach: The sample mean returns and covariance matrices generated by a multivariate normal distribution are applied in mean-variance optimization to generate several portfolios in the efficient frontiers. An ESG filtering process is used to select portfolios with lower ESG risks from a sample of 42 companies listed on the Brazilian stock exchange with returns from the period of 2018/01/01 to 2024/04/22.Findings: Integration strategy costs may be lower than the best-in-class strategy costs and may be similar to the costs of a negative screening strategy. Social implications: The paper presents a framework that considers social, environmental, and governance factors in the portfolio optimization process.Originality: The main contribution of this paper is to present a new framework that combines resampling of returns’ mean and covariance based on a multivariate normal distribution with an ESG portfolio filtering process.

Does organizational ambidexterity mediate the relationship between intellectual capital and financial performance

PurposeThis paper aims to examine the relationship between different dimensions of intellectual capital and industrial companies' financial performance. In addition, this paper aims to examine the role of organisational ambidexterity in mediating this relationship.Design/methodology/approachThis paper adopted a quantitative method using a previously validated questionnaire. The questionnaire copies have been distributed to accountants and accounting managers in the context of industrial companies.FindingsFindings indicate that there is a positive correlation between all dimensions of intellectual capital and organisational ambidexterity. Furthermore, the connection between intellectual capital dimensions and financial performance is notably positive when it comes to relational capital. Additionally, it was established that the various dimensions of capital and financial performance are interconnected through the intermediary influence of organisational ambidexterity.Originality/valueThis paper provides important contributions to managers, policymakers and stakeholders. Jordanian industrial companies must improve the quality of their work by enhancing levels of intellectual capital and organisational ambidexterity that leads to improving the financial performance of companies. Additionally, managers should identify and capitalise on the benefits of other intangible assets and understand more about how to increase the use level of other intangible assets.

A STUDY OF FINANCIAL SUSTAINABILITY IN INDIAN BANKING INDUSTRY

Financial sustainability has become a catch line in the modern financial systems. This has become a matter of concern in all economies worldwide. Financial sustainability ensures stable and resilient financial health. This comprehensive approach supports the banking sector in generating more revenue, and its strategic planning system is conducive to reducing the level of non-performing assets by managing costs. This allows the financial system to achieve its strategic goals by effectively managing borrowing and credit. Strategic investment decisions help evade financial strain and mitigate probable financial pitfalls. This makes the system more viable and resilient, allowing banks to achieve long-term goals in a zestful environment of financial threats and opportunities. The concept of financial sustainability is a new term in the Indian banking system. Banks are trying their best to adopt and implement it, but are still lagging. To date, only a few banks have incorporated them successfully. Financial sustainability offers many benefits to banks in the form of high productivity, effective management of interest rate fluctuations, controlled non-performing assets, cost reduction, better customer satisfaction, and risk control. Indian banks have acknowledged the significance of financial sustainability and are now committed to achieving it. Banking regulators must incorporate and implement the goal of financial sustainability in the Indian banking system on a priority basis. This study highlights the need to adopt the goal of financial sustainability in the Indian banking industry. Further, the strategies made by the RBI in this direction have been analyzed along with the challenges that banks face during the implementation of these strategies in the real world.

The Impact of Intangible Assets on Capital Structure in Asia

Past studies find evidence that the level of intangible assets is positively related to corporate borrowing in the United States. This paper explores the relationship between intangible assets and capital structure for Asian countries. We identify a positive relationship between intangible asset investment and debt levels throughout Asia. Unlike in the United States, this positive relationship appears to be significant for non-Goodwill and Goodwill intangible assets. Further, we find that the magnitude of this relationship is significantly greater for developed Asian countries than for developing ones. We explore explanations for this difference related to firm size, firm age, cash flow volatility, and a firm’s likelihood to default on its debt.

A demographic analysis of developmental assets, misconduct behaviours, and depression among New Zealand youth in mentoring relationships

ABSTRACT Mentoring is often utilised to support youth who have low levels of protective assets. This study explored 300 NZ youth (16-18 years old) who were involved in mentoring relationships to better understand how developmental assets influence depressive symptoms and misconduct behaviours. Results suggest that most participants possessed low to fair levels of internal (77.3%) and external (72.6%) assets with high levels of major depressive symptoms (40.7%) and moderate to high levels of misconduct behaviours (29.4%). There were demographic differences in developmental assets (e.g. Pacific youth reported higher assets and non-student participants reported lower assets than others), depressive symptoms (e.g. higher ranks for females than males) and misconduct behaviours (e.g. higher misconduct behaviours among Māori youth, non-student and full-time employed participants). Importantly, lower levels of external assets (β = – .90, S.E = .20, p = <.001; 95% CI [−1.30, – .50]) and internal assets (β = – .76, S.E = 29 .28, p = <.001; 95% CI [−1.31, – .20]) predicted depressive symptoms and low levels of external assets significantly contribute to youth misconduct behaviours (β = – .40, S.E = .08, p = 31 < .001; 95% CI [-.56, – .23]). These findings suggest strategies, programmes and policies to improve developmental assets which may decrease emotional and behavioural distress among youth.

Prevalence and associated factors of caesarean section among mothers who gave birth across Eastern Africa countries: Systematic review and meta-analysis study

BackgroundCaesarean section (CS) rate increased dramatically worldwide, exceeding the World Health Organization's benchmark (10–15 %) in many countries. This rate varies in different regions of the continent. Using various study designs, researchers from across East African countries investigated the prevalence of caesarean section and the factor associated with it but no study shows a pooled prevalence of caesarean section in the Eastern African region. Therefore, this review aimed to systematically summarize and estimate the pooled prevalence of caesarean section and its associated factors in Eastern Africa, 2023. MethodsPubMed, Web of Science, EMBASE, Scopus and CINAHL were rigorously searched to find relevant studies. All identified observational studies reporting the prevalence of CS and its associated factors in East Africa published till August 2023 were considered. Heterogeneity across the studies was evaluated using the I2 test. Publication bias was assessed by funnel plot and Egger's regression test. Finally, a random effect meta-analysis model was computed to estimate the pooled prevalence of CS and qualitative analysis was employed for associated factors. The study protocol was registered in PROSPERO. ResultsThis review was assessed using twenty-six eligible studies from a total of 2223 articles with a total of 600,431 participants. In this meta-analysis, the pooled prevalence of caesarean section in Eastern Africa was 24.0 % (95%CI: 22–27 %). The highest pooled prevalence of caesarean section was in Ethiopia, 28.30 % (95%CI; 21.3–35.2 %), and the lowest was seen in Uganda, 11.9 % (95%CI; 7.9–15.9 %). Urban residency, having high level of wealth asset, education level college and above, advanced maternal age, big birth weight, history of previous caesarean section, private institution delivery, multiple pregnancies, pregnancy-induced hypertension, antepartum haemorrhage and fetal malpresentation were linked with a greater likelihood of having CS. Conclusionsand recommendation: The overall pooled prevalence of CS in Eastern Africa was high compared to the WHO proposed recommended range. Therefore, the finding implies that each East African countries Ministry of Health and health care professionals shall be given particular emphasis made on strengthening antenatal care services and ensure more women have access to skilled healthcare professionals during childbirth. This can help in providing appropriate interventions, support to women and reducing the need for emergency and unnecessary CSs. The result of this research are a baseline data for future researchers to conduct further studies to better understand the reasons behind the high rates and identify potential interventions and solutions specific to the African context.PROSPERO protocol number: CRD42023440131.

A Study on Financial Performance Analysis in Greenergy Bio Refineries Pvt Ltd Bengaluru

The learning speaks that the financial performance analysis at Greenergy Bio Refineries private Ltd company Bengaluru. The impartial of this study is to comparison the current financial performance with previous four years and to study the prevailing financial position of company. The information that used in this study, comparative balance sheet, comparative balance sheet analysis, and it is to be recommend that the company can quintessence on their cumulative this level of the current asset. Consequently, the company advances this financial position.

View of institutional ownership and value relevance in Indonesia: the nexus of accounting conservatism

PurposeOur study aims to explore the ownership structure and accounting conservatism in influencing the value relevance that we analyse through the paradigm of open innovation and socio-emotional wealth (SEW). We also extended the test to identify how firm size could affect value relevance.Design/methodology/approachThrough panel data testing, we collected all issuers on the stock exchange for the 2016–2018 period. The total collected observations are 735 observations from various industries.FindingsThe results of the study provide empirical evidence that institutional ownership is more pronounce, especially in companies with high asset levels. We also conducted other tests to see it from the perspective of SEW. We divide companies into family and non-family companies. The results of this study indicate that institutional ownership has an effect on increasing value relevance, especially in family companies compared with non-family companies. The results of the study also indicate that accounting conservatism plays a more important role in increasing value relevance in non-family firms compared to family firms.Originality/valueThis study advances in two main ways. First, we use a SEW approach and an open innovation perspective. Second, we conducted tests for family and non-family firms.

A Grand Challenge: Net-Zero Operations—Changing the Definition of “Business as Usual”

_ This is the second of a series of six articles on SPE’s Grand Challenges in Energy, formulated as the output of a 2023 workshop held by the SPE Research and Development Technical Section in Austin, Texas. Described in a JPT article last year, each of the challenges will be discussed separately in this series: geothermal energy; improving recovery from tight/shale resources; net-zero operations; carbon capture, storage, and utilization; digital transformation; and education and advocacy. The first article, “An SPE Grand Challenge Update on Geothermal Energy,” was published in April 2024. _ At COP28, more than 50 oil and gas companies, many of them national companies, took a historic step toward decarbonization by launching the Oil &amp; Gas Decarbonization Charter. The charter represents significant short- and long-term ambitions to reduce emissions, including net-zero operations by 2050 at the latest. This article explores the importance of this effort, the opportunities available to the industry to reduce its Scope 1 and 2 emissions, and the key technologies needed to achieve the net-zero goal. The Size of the Prize According to the latest data from the International Energy Agency (IEA), the production, transport, and processing of oil and gas resulted in 5.1 GtCO2e in 2022. These emissions stem from the production and delivery of oil and gas and the combustion of fossil fuel necessary for operations on-site (Scope 1), and the import of electricity from external sources consumed in oil and gas facilities (Scope 2). These Scope 1 and 2 emissions represent just under 15% of global energy-related greenhouse gas (GHG) emissions. This is a sizable contribution, nearly equivalent to all energy-related GHG emissions from road transport, highlighting the relative scale of the opportunities associated with implementing operational changes in the industry. The faster and deeper these emissions reductions are, the more significant the impact will be. Sources of Emissions To understand the various paths to net zero an oil and gas company can follow, it is critical to map the sector’s sources of emissions throughout the value chain. It is generally recognized that around 60% of an integrated company’s emissions emanate from upstream operations, predominantly from onshore assets. Refining and distribution are the second main contributors, but of a smaller order of magnitude, notably because of significant efforts already made by companies to reduce emissions from their refining assets and levers of decarbonization potentially easier to implement. However, emissions volumes and intensities differ significantly across regions, countries, and asset types. An asset operating in the Canadian oil sands region will have a very different emissions profile compared to an offshore platform in Western African countries. These differing profiles also call for tailored emission-reduction approaches. This means decarbonization studies must be carried out at the asset level, allowing operators to identify the most cost-effective means of tackling emissions reduction.

Perbedaan Tingkat Pemahaman Akuntansi Di Antara Mahasiswa Berdasarkan Kelulusan Pada Mahasiswa Semester II Tahun Angkatan 2017 Di Program Studi Akuntansi Universitas Muara Bungo

This study aims to investigate whether disparities exist in the comprehension of accounting concepts among students with diverse educational backgrounds. The research is conducted at the Faculty of Economics, Muara Bungo University, focusing on students majoring in Accounting. The study population comprises 62 second-semester students at Muara Bungo University (UMB). Quantitative descriptive data analysis, presented in the form of frequency tables, is employed for this research. The Likert scale is utilized as the scoring technique to evaluate respondents' answers to the questionnaire. According to the American Accounting Association, accounting is defined as the process of identifying, measuring, and reporting economic information to facilitate informed decision-making for stakeholders. The findings indicate significant discrepancies in the comprehension levels of assets among students from vocational schools specializing in accounting, high schools with a focus on social studies, and general Madrasah Aliyah. Similarly, there are noteworthy variations in the understanding levels of liabilities and equity among students from different educational backgrounds.

MAINTENANCE STRATEGY REVIEW (MSR) BASED ON ISO 14224:2016 IN INDONESIA OIL AND NATURAL GAS COMPANIES

&lt;p&gt;The oil and gas industry is vital for Indonesia, and the safety and effectiveness of work in processing and exploring the oil and gas that operate in Indonesia must comply with existing regulations. This safety and effectiveness are inseparable from how the company maintains the assets and instruments used at the oil and gas production and exploration site. Maintenance of pipes and instruments for production is one of the company's most vital assets. In addition to having appropriate productivity, pipes and instruments must be maintained optimally so that maintenance costs do not exceed the value of the oil and gas production. This study's research subject is a natural gas refinery from an oil and gas company operating in the Madura Strait, East Java, Indonesia. The object of research limited to the company's piping system (pipeline system). This study uses a quantitative assessment using the calculated Mean Time Before Failure (MTBF) method and a qualitative assessment using the asset maintenance standard to reveals how the maintenance cycle that has been implemented can be optimized. The author carried out a criticality assessment using Maintenance Strategy Review (MSR) to calculate the risk level of asset. This study found that 78 assets must be maintained in their maintenance cycle, two cash assets must be reduced in their maintenance cycle, and seven assets can be extended for their maintenance cycle. The two assets that need to be reduced in maintenance cycles are the shutdown valve asset that goes to the temporary pig receiver and the shutdown valve that goes to the HP flare header. An asset that can be extended its maintenance cycle is a transmitter for flow indicators.&lt;/p&gt;&lt;div&gt;&lt;div&gt;&lt;p&gt; &lt;/p&gt;&lt;/div&gt;&lt;/div&gt;