scholarly journals MODELAGEM, SIMULAÇÃO E OTIMIZAÇÃO DA DINÂMICA OPERACIONAL DO PROCESSO DE ATENDIMENTO DE UM PEQUENO POSTO DE SAÚDE

e-xacta ◽  
2013 ◽  
Vol 6 (1) ◽  
pp. 101
Author(s):  
José Airton Azevedo dos Santos ◽  
Tiago C. Dal’sotto ◽  
Wesley Schroeder
Keyword(s):  
Computer Simulation ◽  
Appointment Scheduling ◽  
Quantitative Character ◽  
Health Post ◽  
Waiting Room ◽  
Optimization Software ◽  
Simulation And Optimization ◽  
Medical Appointment ◽  
West Region ◽  
Simulation Package

<p>Este trabalho tem como objetivo analisar, através de técnicas de simulação e de otimização, a dinâmica operacional do processo de atendimento de um pequeno posto de saúde localizado na região oeste paranaense. A simulação e a otimização foram executadas utilizando o pacote de simulação Arena®, que inclui o software de otimização Optquest. A metodologia utilizada é a de modelagem através de simulação computacional, de caráter quantitativo e é caracterizada como participativa. A aplicação destas técnicas em conjunto resultaram na otimização do número de agendamento de consultas médicas do posto de saúde.</p><p>Abstract</p><p>This work aims to analyze the attending process operational dynamics of a small health post located in Paraná West Region. Another objective is connect the concepts of simulation and optimization to maximize the number of scheduling appointments for the health post, within the limits of accommodation of the waiting room. The simulation and optimization were performed using the Arena ® simulation package, which includes the OptQuest optimization software. The methodology used was the modeling through computer simulation of quantitative character and it is characterized as participative. The application of these techniques all together resulted in the optimization of the number of medical appointment scheduling of the health post</p>

Overbooked and Overlooked: Machine Learning and Racial Bias in Medical Appointment Scheduling

2019 ◽  
Author(s):  
Michele Samorani ◽  
Shannon Harris ◽  
Linda Goler Blount ◽  
Haibing Lu ◽  
Michael A. Santoro
Keyword(s):  
Machine Learning ◽  
Racial Bias ◽  
Appointment Scheduling ◽  
Medical Appointment

Computer Simulation for Ergonomic Bus Operator Workstation Design With Validation

1998 ◽  
Author(s):  
H. You ◽  
B. Oesterling ◽  
B. Lowe ◽  
B. J. Gilmore ◽  
A. Freivalds
Keyword(s):  
Computer Simulation ◽  
The Body ◽  
Medium Size ◽  
Kinematic Constraints ◽  
Test Track ◽  
Human Models ◽  
Workstation Design ◽  
Body Joints ◽  
Bus Operator ◽  
Simulation Package

Abstract Bus operator’s workstations neglecting ergonomic features can cause overall discomfort and injuries to the users. This paper presents use of JACK®, a human work simulation package, in designing and evaluating a bus operator workstation which can provide sufficient visibility, natural reach, and comfortable posture for operators who range from the 5th percentile female to the 95th percentile male as defined by SAE J833 (SAE, 1994). Three human models representing the two extremes and their medium size person were created and performed 15 bus operating tasks on the bus workstation implemented in JACK®. Kinematic constraints were defined between the human models and the workstation to simulate the tasks in a realistic manner. While the human models simulated the tasks, the body joints were monitored to determine if they exceeded their comfort ranges recommended by Diffrient et al. (1981) and the workstation was evaluated in terms of visibility, reach, comfort, and adjustability. After the workstation design was refined by iterative modifications and the required component adjustment ranges were determined, the workstation design was prototyped into an actual working bus. A jury of bus operators evaluated the workstation design by operating the prototype on a test track. The response from the operators indicated that the workstation would accommodate the intended population.

Numerical Analysis of the Acoustical Quality of a Multi-Purpose Hall

1995 ◽  
Vol 2 (3) ◽  
pp. 487-500 ◽  
Author(s):  
X.W. Meng ◽  
G. De Borger ◽  
M. Van Overmeire
Keyword(s):  
Computer Simulation ◽  
Sound Pressure Level ◽  
Decay Time ◽  
Sound Pressure ◽  
Field Measurements ◽  
Pressure Level ◽  
Energy Fraction ◽  
Experimental Values ◽  
Simulation Package

In this paper, the acoustical features are described of a multi-purpose auditorium of the Free University of Brussels which were investigated both with field measurements and computer simulation. The convergence of the algorithm of the simulation package RAYNOISE was investigated as a function of the influence on the calculated results of the choice of the number of rays and the reflection order. By comparing the numerical and experimental values of the sound pressure level and early decay time, it is demonstrated that sufficiently accurate acoustical models can be developed. Based on these models, acoustical quantities such as the early energy fraction, sound pressure level, early decay time and early lateral energy fraction were calculated and employed to evaluate the acoustical quality of this multi-purpose hall.

Computer Simulation and Optimization, as Exemplified by the Enzyme-Coupled Aminotransferase (Transaminase) Assays

1974 ◽  
Vol 20 (11) ◽  
pp. 1403-1407 ◽  
Author(s):  
Jack W London ◽  
Robert Yarrish ◽  
Leonard D Dzubow ◽  
David Garfinkel
Keyword(s):  
Experimental Data ◽  
Computer Simulation ◽  
Myocardial Infarct ◽  
Optimization Procedure ◽  
Reagent Concentration ◽  
Aminotransferase Activity ◽  
Clin Pathol ◽  
Simulation And Optimization ◽  
Computer Methods ◽  
Substrate Concentrations

Abstract We have constructed a computer model, based on experimental data and the known properties of the enzymes involved, of the aspartate aminotransferase and alanine aminotransferase assays by the coupled-enzyme procedure of Henry et al. [Amer. J. Clin. Pathol. 34, 381 (1960)] to assay sera from normal persons and persons with liver disease or myocardial infarct. Observed inhibitions of aminotransferase activity were included in the models. When the computer models are combined with an optimization procedure, substrate concentrations that result in maximum enzyme activity for individual sera are obtained. Aminotransferase activity is not much affected by rather large changes in these concentrations around the optimum. The optimal concentrations we computed are close to those currently accepted. The computer methods involved may be applied to other assays, and factors other than reagent concentration may be optimized.

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