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 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.

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 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 < .001), probability (F (3, 133) = 48.71, p < .001), and cost (F (3, 133) = 45.24, p < .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.

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 A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yingmiao Qian ◽  
Shuhang Chen ◽  
Jianchang Li ◽  
Qinxin Ren ◽  
Jinfu Zhu ◽  
...  
Keyword(s):  
Decision Making ◽  
Queuing Theory ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Urban Traffic ◽  
Mathematical Methods ◽  
Huge Impact ◽  
Neural Network Algorithm ◽  
The Cost ◽  
Decision Making Model

Due to the increasing number of people traveling by air, the passenger flow at the airport is increasing, and the problem of passenger drop-off and pickup has a huge impact on urban traffic. The difficulty of taking a taxi at the airport is still a hot issue in the society. Aiming at the problem of optimizing the allocation of taxi resource, this paper is based on the cost-benefit analysis method to determine the factors that affect the taxi driver’s decision-making. The mathematical methods such as function equation, BP neural network algorithm, and queuing theory were used to establish a complete decision-making model for taxi drivers and an optimization model of dispatching efficiency at the airport. A conclusion has been drawn that the allocation of airport taxi resource should be arranged closely related to drivers’ revenue and the layout of airport line.

RESTRUTURAÇÃO ORÇAMENTÁRIA COMO ESTRATÉGIA DE DIMINUIÇÃO DA CARGA TRIBUTÁRIA E AUMENTO DE COMPETITIVIDADE DE UMA EMPRESA NO MERCADO

2021 ◽  
Vol 9 (205) ◽  
pp. 1-18
Author(s):  
Bruno Barbosa Rangel
Keyword(s):  
Decision Making ◽  
Cost Benefit ◽  
Corporate Restructuring ◽  
Decision Making Process ◽  
Bibliographic Reference ◽  
The Cost ◽  
A Company

This article aims to address the possibility of generating a decision-making process, especially about the use of corporate restructuring as a strategy to reduce the tax load by a company and to reposition itself in the market, to increase your level of competitiveness among yours competitors. Will be verified the main features of corporate restructuring operations: Transformation, incorporation, merger and split. Also, using a case exemple it will verified the possibility of a company divide yours activities adopting the split strategy, accourding to the taxes planning’s principles, analyzing the cost-benefit ration of corporate reoganization, concluding to what extent should invest in this strategy, observing the previous moment before the separation, considering the used bibliographic reference.

scholarly journals A NEW SIMPLIFIED DECISION MAKING SYSTEM FOR SMALL PROJECTS

2017 ◽  
Vol 5 ◽  
pp. 480-485 ◽  
Author(s):  
Secărea Tudorel
Keyword(s):  
Decision Making ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Decision Making Process ◽  
Benefit Analysis ◽  
Limited Budget ◽  
Decision Making System ◽  
The Cost ◽  
High Degree ◽  
Bare Minimum

Making decisions on funding or not funding projects is the most difficult process in management, especially for the state services that have a limited budget. The aim of this study is to establish a new simplified system for evaluating small projects based on translating all values into economic terms. The new system tries to simplify the Cost-Benefit Analysis (on which it is based) to the bare minimum and still keep a high degree of relevance to the decision-making process. The conclusions were somewhat remarkable, mostly because the system gives accurate and relevant data for comparing projects despite its simplicity. The other big benefit of this system is its simple nature and ease of understanding even for people with no economic studies.The applied part of this paper involves an analysis of real projects in Brasov County – Romania and the results of applying Cost-Benefit Analysis and the new method for evaluating projects.The paper concludes proposing a new, modern and simple system for improving decision making on small projects.

scholarly journals Choice Quality as a Function of Decision Accuracy and Search Cost

2019 ◽  
Author(s):  
Reza Rastgoo Sisakht ◽  
Shabnam Mousavi ◽  
Rahimeh Negarandeh ◽  
Hamid Valizadegan ◽  
Maryam Noroozian ◽  
...  
Keyword(s):  
Decision Making ◽  
Cost Benefit ◽  
Expected Value ◽  
Process Tracing ◽  
Search Cost ◽  
Incorrect Choice ◽  
Analysis Of Results ◽  
The Cost ◽  
Male Subjects

Objective: A prominent challenge in modeling choice is specification of the underlying cognitive processes. Many cognitive-based models of decision-making draw substantially on algorithmic models of artificial intelligence and thus rely on associated metaphors of this field. In contrast, the current study avoids metaphors and aims at a first-hand identification of the behavioral elements of a process of choice. Method: We designed a game in Mouselab resembling the real-world procedure of choosing a wife. 17 male subjects were exposed to cost-benefit decision criteria that closely mimic their societal respective conditions. Results: The quality of choice index was measured with respect to its sensitivity to the final outcomes as well as process tracing of decisions. The correlation between this index and individual components of process tracing are discussed in detail. The choice quality index can be configured as a function of expected value and utility. In our sample the quality of choice with an average of 75.98% (SD: ±12.67) suggests that subjects obtained close to 76% of their expected gains. Conclusion: The quality of choice index, therefore, may be used for comparison of different conditions where the variables of decision-making are altered. The analysis of results also reveals that the cost of incorrect choice is significantly correlated with expected value (0.596, sig = 0.012) but not with utility. This means that when sub-jects face higher costs prior to making a decision, there exists a corresponding higher expectation of gains, i.e., higher expected value.

scholarly journals Time to explore: Adaptation of exploration under time pressure

2021 ◽  
Author(s):  
Charley M Wu ◽  
Eric Schulz ◽  
Timothy Joseph Pleskac ◽  
Maarten Speekenbrink
Keyword(s):  
Decision Making ◽  
Lower Cost ◽  
Time Pressure ◽  
Cost Benefit ◽  
Decision Time ◽  
Cognitive Constraints ◽  
Evidence Accumulation ◽  
The Cost ◽  
Pressure Changes ◽  
Shed Light

How does time pressure influence exploration and decision-making? We investigate this question using a within-subject design to manipulate decision time (limited vs. unlimited) and use a range of four-armed bandit tasks, designed to independently manipulate uncertainty and expected reward. With limited time, people have less opportunity to perform costly computations, thus shifting the cost-benefit balance of different exploration strategies. Through behavioral, reinforcement learning (RL), reaction time (RT), and evidence accumulation analyses, we show that time pressure changes how people explore and respond to uncertainty. Specifically, participants reduced their uncertainty-directed exploration under time pressure, were less value-directed, and repeated choices more often. Since our analyses relate uncertainty to slower responses and dampened evidence accumulation (i.e., drift rates), this demonstrates a resource-rational shift towards simpler, lower-cost strategies under time pressure. These results shed light on how people adapt their exploration and decision-making strategies to externally imposed cognitive constraints.

scholarly journals Economic Analysis Development and Provider Elective Decision Model on Auto-ID Technology Investment

2021 ◽  
Vol 2111 (1) ◽  
pp. 012023
Author(s):  
Anis Siti Nurrohkayati ◽  
Iwan vanany
Keyword(s):  
Decision Making ◽  
Human Error ◽  
Cost Benefit ◽  
Monte Carlo Analysis ◽  
Spare Parts ◽  
Warehouse Management ◽  
Technology Investments ◽  
Cost And Benefit Analysis ◽  
The Cost ◽  
Inventory Shrinkage

Abstract In the last few years, the warehousing system use Auto Identification technology to manage the warehouse operation. Auto-ID is often used to obtain the information about amount, location, content, and condition of part or product. However, some industries still use manual warehouse management. Manual warehouse management systems usually cause some problem like inventory shrinkage and stock out. The investment and application of Auto-ID technology on the warehouse system can reduce the effect of the manual system. The use of Auto-ID technology in warehousing systems has a significant effect on the reduction of human error, the reduction of loss of goods, the accuracy of inventory stock, and can handle the product in large quantities, the speed of acceptance, and improve the delivery process. In this research, the cost and benefit analysis was carried out to assess the Auto-ID technology investments. The cost of inventory shrinkage reduction, labor and stock out, and the increase of productivity and maintenance on the spare parts warehouse management system used to analyse the cost benefit. To determine the expected NPV value in Auto-ID technology investments used Monte Carlo analysis. Furthermore, a company’s evaluation for selecting an Auto ID provider is a significant aspect. The evaluation of decision making for selecting Auto ID vendors is based on three criteria. This is referred to as many criteria decision making. Vendor performance, service after installation, and system attributes are the criteria employed in the decision-making model. Evaluation of Auto-ID vendor selection is done by using AHP. Based on the results of AHP analysis for the selection of Auto-ID suppliers, it was found that supplier PT C was the main priority (39.3%) for best suppliers, and the last priority was PT B (13.8%).

Sign in / Sign up

Export Citation Format

Share Document