scholarly journals ANN-Based Decision Making in Station Keeping for Geotechnical Drilling Vessel

2021 ◽  
Author(s):  
Murugan Ramasamy ◽  
Mohammed Abdul Hannan ◽  
Yaseen Adnan Ahmed ◽  
Arun Kr Dev
Keyword(s):  
Decision Making ◽  
Water Depth ◽  
Business Models ◽  
Cost Benefit ◽  
Cost Effective ◽  
Station Keeping ◽  
Operational Information ◽  
Effective Option ◽  
The Cost ◽  
Cost Factors

Offshore vessels (OVs) often requires precise station-keeping and some vessels, for example, vessel involves in geotechnical drilling generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these vessels are equipped with both systems to cover all ranges of water depths. However, determining which systems to use for a particular operational scenario depends on many factors and requires significant balancing in terms of cost-benefit. Therefore, this research aims to develop a platform that will determine the cost factors for both the SM and DP station keeping systems. Operational information and cost data are collected for several field operations, and Artificial Neural Networks (ANN) is trained using those data samples. After that, the trained ANN is used to predict the components of cost for any given environmental situation, fieldwork duration and water depth. Later, the total cost is investigated against water depth for both DP and SM systems to determine the most cost-effective option. The results are validated using two operational scenarios for a specific geotechnical vessel. This decision-making algorithm can be further developed by adding up more operational data for various vessels and can be applied in the development of sustainable decision-making business models for OVs operators.

scholarly journals ANN-Based Decision Making in Station Keeping for Geotechnical Drilling Vessel

2021 ◽  
Vol 9 (6) ◽  
pp. 596
Author(s):  
Murugan Ramasamy ◽  
Mohammed Abdul Hannan ◽  
Yaseen Adnan Ahmed ◽  
Arun Kr Dev
Keyword(s):  
Decision Making ◽  
Water Depth ◽  
Business Models ◽  
Cost Benefit ◽  
Cost Effective ◽  
Station Keeping ◽  
Operational Information ◽  
Effective Option ◽  
The Cost ◽  
Cost Factors

Offshore vessels (OVs) often require precise station-keeping and some vessels, for example, vessels involved in geotechnical drilling, generally use Spread Mooring (SM) or Dynamic Positioning (DP) systems. Most of these vessels are equipped with both systems to cover all ranges of water depths. However, determining which system to use for a particular operational scenario depends on many factors and requires significant balancing in terms of cost-benefit. Therefore, this research aims to develop a platform that will determine the cost factors for both the SM and DP station-keeping systems. Operational information and cost data are collected for several field operations, and Artificial Neural Networks (ANN) are trained using those data samples. After that, the trained ANN is used to predict the components of cost for any given environmental situation, fieldwork duration and water depth. Later, the total cost is investigated against water depth for both DP and SM systems to determine the most cost-effective option. The results are validated using two operational scenarios for a specific geotechnical vessel. This decision-making algorithm can be further developed by adding up more operational data for various vessels and can be applied in the development of sustainable decision-making business models for OVs operators.

Principles of Cost-Effective Resource Allocation in Health Care organizations

1990 ◽  
Vol 6 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Milton C. Weinstein
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Cost Effectiveness ◽  
Health Care Organizations ◽  
Cost Effective ◽  
Limited Resources ◽  
Effectiveness Analysis ◽  
The Cost ◽  
Common Understanding ◽  
Analytical Errors

Cost-effectiveness analysis (CEA) is a method of economic evaluation that can be used to assess the efficiency with which health care technologies use limited resources to produce health outputs. However, inconsistencies in the way that such ratios are constructed often lead to misleading conclusions when CEAs are compared. Some of these inconsistencies, such as failure to discount or to calculate incremental ratios correctly, reflect analytical errors that, if corrected, would resolve the inconsistencies. Others reflect fundamental differences in the viewpoint of the analysis. The perspectives of different decision-making entities can properly lead to different items in the numerator and denominator of the cost-effectiveness (C/E) ratio. Producers and consumers of CEA need to be more conscious of the perspectives of analysis, so that C/E comparisons from a given perspective are based upon a common understanding of the elements that are properly included.

scholarly journals Active cutaneous warming systems to prevent intraoperative hypothermia: a systematic review

2012 ◽  
Vol 20 (1) ◽  
pp. 183-191 ◽  
Author(s):  
Vanessa de Brito Poveda ◽  
Edson Zangiacomi Martinez ◽  
Cristina Maria Galvão
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Body Temperature ◽  
Cost Benefit ◽  
Controlled Trials ◽  
Decision Making Process ◽  
Circulating Water ◽  
Randomized Controlled ◽  
Intraoperative Hypothermia ◽  
The Cost

This study analyzed the evidence available in the literature concerning the effectiveness of different active cutaneous warming systems to prevent intraoperative hypothermia. This is a systematic review with primary studies found in the following databases: CINAHL, EMBASE, Cochrane Register of Controlled Trials and Medline. The sample comprised 23 randomized controlled trials. There is evidence in the literature indicating that the circulating water garment system is the most effective in maintaining patient body temperature. These results can support nurses in the decision-making process concerning the implementation of effective measures to maintain normothermia, though the decision of health services concerning which system to choose should also take into account its cost-benefit status given the cost related to the acquisition of such systems.

scholarly journals Cost–effectiveness and cost-benefit analysis of oliceridine in the treatment of acute pain

2021 ◽  
Author(s):  
Kit N Simpson ◽  
Michael J Fossler ◽  
Linda Wase ◽  
Mark A Demitrack
Keyword(s):  
Cost Benefit Analysis ◽  
Cost Savings ◽  
Cost Benefit ◽  
Cost Effective ◽  
Adverse Outcomes ◽  
Protein Signaling ◽  
Opioid Receptor Agonist ◽  
Cost Effective Alternative ◽  
Μ Opioid Receptor ◽  
The Cost

Aim: Oliceridine, a new class of μ-opioid receptor agonist, is selective for G-protein signaling (analgesia) with limited recruitment of β-arrestin (associated with adverse outcomes) and may provide a cost-effective alternative versus conventional opioid morphine for postoperative pain. Patients & methods: Using a decision tree with a 24-h time horizon, we calculated costs for medication and management of three most common adverse events (AEs; oxygen saturation <90%, vomiting and somnolence) following postoperative oliceridine or morphine use. Results: Using oliceridine, the cost for managing AEs was US$528,424 versus $852,429 for morphine, with a net cost savings of $324,005. Conclusion: Oliceridine has a favorable overall impact on the total cost of postoperative care compared with the use of the conventional opioid morphine.

scholarly journals Economic Evaluation of Home Care for Stroke Patients Compared to Hospital Care: A Systematic Review

Health Scope ◽  
2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Maryam Khoramrooz ◽  
Asra Asgharzadeh ◽  
Saeide Alidoost ◽  
Zeynab Foroughi ◽  
Saber Azami ◽  
...  
Keyword(s):  
Systematic Review ◽  
Economic Evaluation ◽  
Home Care ◽  
Hospital Care ◽  
Cost Effective ◽  
Stroke Patients ◽  
Life Years ◽  
Effective Option ◽  
The Cost

Context: Stroke is one of the main causes of premature death and disability, imposing significant costs on the healthcare system, especially due to expensive hospital care. Home care service is one of the interventions used in the last two decades to reduce the cost of services provided for stroke patients in different countries. Objectives: The present study aimed to systematically review studies related to the economic evaluation of home care compared to hospital care for stroke patients. Data Sources: A search was conducted between January 1990 and January 2021. PubMed, Scopus, Web of Science, and Embase databases were searched systematically. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to select the studies. Data Extraction: To evaluate the quality of studies included in this systematic review, Drummond’s ten-item checklist was used. Results: Five economic evaluation studies were included in this review. The included studies reported different results regarding the effect of home care on improving different indicators and the cost-effectiveness ratio of home care to hospital care. Most previous studies reported that home care is a more cost-effective option for improving many indicators, such as physical function and quality-adjusted life years (QALY), and for reducing mortality and institutionalization, compared to hospital care. Conclusions: Home care is a more cost-effective option than hospital care for stroke patients with regard to some indicators, such as the Barthel index for Activities of Daily Living, Modified Rankin Scale (mRS), quality of life, mortality, and institutionalization. However, there are some exemptions to this conclusion. Due to limitations, such as heterogeneity of interventions in the existing studies, different levels of patients’ disabilities, different perspectives toward economic evaluation, and differences in the healthcare systems of countries, further research is needed according to the context of each country based on clinical trials.

Economic Evaluation of Kidney Transplantation versus Hemodialysis in Patients with End-Stage Renal Disease in Hungary

2001 ◽  
Vol 11 (3) ◽  
pp. 188-193 ◽  
Author(s):  
Zoltán Kaló ◽  
Jeno Járay ◽  
Júlia Nagy
Keyword(s):  
Kidney Transplantation ◽  
Renal Disease ◽  
End Stage Renal Disease ◽  
Cost Effective ◽  
Effective Option ◽  
Hungarian Population ◽  
Cadaveric Kidney ◽  
Stage Renal Disease ◽  
End Stage ◽  
The Cost

Background— Kidney transplantation is generally acknowledged as the more clinically effective and more cost-effective option in managing patients with end-stage renal disease, compared with dialysis. This study looked for confirmatory evidence in a Hungarian population. Methods— Patients (n = 242) with end-stage renal disease who received cadaveric kidney transplantation during 1994 were followed up for 3 years. They were compared with patients (n = 840) receiving hemodialysis who were on a waiting list for transplantation. Data were collected retrospectively. Treatments were compared for clinical efficacy and for cost-effectiveness. Results— At month 36, the standard mortality hazard function was 3.5 times higher in the group receiving hemodialysis ( P<.0001) than in the transplant recipients. Average treatment costs per patient over the 3 years were also significantly higher ( P<.0001) in the hemodialysis group than in the group that received transplants. The cost of 1 year gained by transplantation was significantly less ( P<.0001) than the cost associated with hemodialysis. Conclusions— Compared with hemodialysis, kidney transplantation provides greater survival benefits to patients with end-stage renal disease, at less cost.

scholarly journals Modeling of Artificial Groundwater Recharge by Wells: A Model Stratified Porous Medium

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1764 ◽  
Author(s):  
Carlos Fuentes ◽  
Carlos Chávez ◽  
Antonio Quevedo ◽  
Josué Trejo-Alonso ◽  
Sebastián Fuentes
Keyword(s):  
Decision Making ◽  
Porous Medium ◽  
Artificial Recharge ◽  
Cost Benefit ◽  
Field Measurements ◽  
Stratified Media ◽  
Artificial Groundwater Recharge ◽  
Industrial Activities ◽  
Groundwater Levels ◽  
The Cost

In recent years, groundwater levels have been decreasing due to the demand in agricultural and industrial activities, as well as the population that has grown exponentially in cities. One method of controlling the progressive lowering of the water table is the artificial recharge of water through wells. With this practice, it is possible to control the amount of water that enters the aquifer through field measurements. However, the construction of these wells is costly in some areas, in addition to the fact that most models only simulate the well as if it were a homogeneous profile and the base equations are restricted. In this work, the amount of infiltrated water by a well is modeled using a stratified media of the porous media methodology. The results obtained can help decision-making by evaluating the cost benefit of the construction of wells to a certain location for the recharge of aquifers.

scholarly journals Design of Power Supply Package for Electricity Sales Companies Considering User Side Energy Storage Configuration

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3219 ◽  
Author(s):  
Mu ◽  
Gao ◽  
Yang ◽  
Liang
Keyword(s):  
Energy Storage ◽  
Power Supply ◽  
Business Models ◽  
Effective Means ◽  
Cost Benefit ◽  
Nsga Ii ◽  
Electricity Cost ◽  
Elite Strategy ◽  
New Business ◽  
The Cost

With the deepening of the reform of the power system, electricity sales companies are required to explore new business models and provide multi-faceted marketing programs for users. At the same time, with the reduction of energy storage (ES) costs and the gradual maturity of technology, user side ES, especially Battery ES, has become an effective means for enhancing users' power supply reliability and reducing electricity bills. Battery ES, as the standby power supply, has a vast user side application. The configuration of ES can help users to ameliorate power quality and reduce electricity cost. It is a critical strategy for electricity sales companies to improve their competitiveness as well. Firstly, this paper analyzes the user side ES and introduces the user side ES development status and relevant policies. Then, we establish an ES configuration optimization model based on the cost–benefit system. To determine the optimal ES capacity of the system’s storage capacity, non-dominated sorting genetic algorithm with elite strategy (NSGA-II) is used as the method solving model. Finally, according to the cost-effectiveness of ES and the period of a contract signed by users, a price package with ES configuration is designed for users to choose.

Cost benefit analysis of measures to reduce industrial effluent discharges

2010 ◽  
Vol 62 (7) ◽  
pp. 1623-1628
Author(s):  
Åsa Sivard ◽  
Tomas Ericsson ◽  
Nippe Hylander ◽  
Magnus Karlsson ◽  
Mikael Malmaeus
Keyword(s):  
Organic Material ◽  
Cost Benefit Analysis ◽  
Industrial Effluent ◽  
Oxygen Demand ◽  
Cost Benefit ◽  
Cost Effective ◽  
Paper Mill ◽  
Pulp And Paper Mill ◽  
Cost Efficient ◽  
The Cost

In an environmentally harmonized society the most cost effective measures to reduce the total effluent discharges should be taken into account. Generalised discharge values are presented for organic material and nutrients in this paper. Depending on conditions in the receiving water any of these parameters can be the determining factor for the eutrophication and oxygen demand. These parameters can be generalized into equivalent loads of TOC, nitrogen or phosphorus by recalculation according to the Redfield ratio. The cost for reduction of organic material and nutrients from a pulp and paper mill is calculated as a cost per unit pollutant (cost equivalent). This cost equivalent is compared with alternative costs, expressed in the same way, for reduction of organic material and nutrients in adjacent industries, municipal treatment plants, impact from transportation, farming, air deposits etc. In order to find where the most cost efficient measures for the society should be taken the cost equivalent for the mill is compared with the alternative measures and their equivalent costs.

scholarly journals S119. A DIMENSIONAL APPROACH TO UNDERSTANDING COST-BENEFIT DECISION-MAKING IN SCHIZOPHRENIA AND DEPRESSION

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S80-S80
Author(s):  
Sarah Saperia ◽  
Daniel Felsky ◽  
Susana Da Silva ◽  
Ishraq Siddiqui ◽  
Zafiris Daskalakis ◽  
...  
Keyword(s):  
Decision Making ◽  
Cluster Analysis ◽  
Individual Differences ◽  
Reward Magnitude ◽  
Cost Benefit ◽  
Choice Behaviour ◽  
Healthy Control ◽  
The Subject ◽  
The Cost ◽  
Relevant Cost

Abstract Background Reductions in motivation figure prominently in the clinical presentation of schizophrenia (SZ) and major depressive disorder (MDD). One critical nexus in the motivation system that drives real-world behaviour is effort-based decision-making (EBDM), which refers to the cost-benefit calculations involved in computing the amount of effort one is willing to expend in order to obtain a desired reward. Important individual differences are associated with these processes, and impairments in motivation can arise if any relevant cost-benefit information is not properly computed, appraised, or integrated. Thus, in order to better understand the computations guiding choice behaviour, the present study sought to utilize a more person-centric approach to characterize individual differences in the effort-cost computations that underlie cost-benefit decision-making in individuals with SZ and MDD. Methods A sample of 51 individuals with SZ, 43 individuals with MDD, and 51 healthy control (HC) participants underwent a comprehensive clinical and cognitive characterization, and completed the Effort Expenditure for Rewards Task (EEfRT) as a measure of EBDM. Random effects modelling was conducted to estimate the subject-specific predictors of reward magnitude, probability, and perceived cost on choice behaviour. Cluster analysis was subsequently applied to these predictors in order to identify subtypes of impairments within the entire sample, irrespective of diagnostic status. Results Data-driven cluster analysis identified unique subgroups of individuals with distinct patterns of utilizing cost-benefit information to guide effort-based decision-making. Analyses of variance revealed significant differences between clusters with respect to their utilization of reward (F (3, 133) = 51.58, p &lt; .001), probability (F (3, 133) = 48.71, p &lt; .001), and cost (F (3, 133) = 45.24, p &lt; .001). The first cluster was characterized by an indifference to all cost-benefit information, the second cluster was more influenced by perceived cost, the third cluster demonstrated a preference for reward-based information, and the fourth cluster mainly utilized probability to guide their decision-making. While the clusters did not differ in their severity of clinical amotivation (p = .11), there was a significant effect for cognition, specifically with impairments in clusters 1 and 2. All diagnostic groups were represented in each cluster, but the distribution of SZ, MDD, and HC participants was significantly different (X2 (6, N = 137) = 16.18, p = .013). Discussion The emergence of four distinct subgroups in our sample suggests that there are individual differences amongst SZ, MDD, and HC participants in their utilization of cost-benefit information to guide choice behaviour. Moreover, with elevated levels of clinical amotivation present in all four clusters, it is possible that these unique cost-benefit decision-making patterns represent different underlying motivational impairments, the nature of which depending on how reward magnitude, probability, and perceived cost are weighed. Thus, by characterizing the specific mechanisms underlying EBDM in SZ and MDD, the results of this work may be able to help guide the identification of more precise targets for the effective treatment of motivation deficits.

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