scholarly journals AN AHP BASED OPTIMAL DISTRIBUTION MODEL AND ITS APPLICATION IN COVID-19 VACCINATION

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
Arpan Garg ◽  
Y D Sharma ◽  
Subit Kumar Jain
Keyword(s):  
Geometric Mean ◽  
State Level ◽  
Healthcare Management ◽  
Distribution Model ◽  
Optimal Distribution ◽  
Indian States ◽  
Proposed Model ◽  
Vaccine Distribution ◽  
Vaccine Availability ◽  
Preference Weights

COVID-19 is causing a large number of causalities and producing tedious healthcare management problems at a global level. During a pandemic, resource availability and optimal distribution of the resources may save lives. Due to this issue, the authors have proposed an Analytical Hierarchy Process (AHP) based optimal distribution model. The proposed distribution model advances the AHP and enhances real-time model applicability by eliminating judgmental scale errors. The model development is systematically discussed. Also, the proposed model is utilized as a state-level optimal COVID-19 vaccine distribution model with limited vaccine availability. The COVID-19 vaccine distribution model used 28 Indian states and 7 union territories as the decision elements for the vaccination problem. The state-wise preference weights were calculated using the geometric mean AHP analysis method. The optimal state-level distribution of the COVID-19 vaccine was obtained using preference weights, vaccine availability and the fact that a patient requires exactly vaccine doses to complete a vaccination schedule. The optimal COVID-19 vaccine distribution along with state and union territory rank, and preference weights were compiled. The obtained results found Kerala, Maharashtra, Uttarakhand, Karnataka, and West Bengal to be the most COVID-19 affected states. In the future, the authors suggest using the proposed model to design an optimal vaccine distribution strategy at the district or country level, and to design a vaccine storage/inventory model to ensure optimal use of a vaccine storage center covering nearby territories.

The Research of Energy Efficiency Construction Design with Pollution Control Consideration

2014 ◽  
Vol 986-987 ◽  
pp. 786-789
Author(s):  
Hai Qing Guo
Keyword(s):  
Pollution Control ◽  
Target Location ◽  
Distribution Model ◽  
Optimal Distribution ◽  
Simulation Experiments ◽  
Construction Design ◽  
Proposed Model ◽  
Low Energy Consumption ◽  
Relationship Model ◽  
The Relationship

Focusing on the architectural proper distribution problems with low energy consumption, this paper analyzes the architectural distribution model and builds the architectural landscape target location distribution model with pollution control consideration. According to the features of the architectural landscape pollution control, the paper analyzes the architectural landscape target location distribution model with differentiations and finds the optimal distribution with less pollution for the architectural landscapes. The Oealcle spatial is used to describe the relationship model of the vegetation objects in the landscapes in order to obtain the optimal distribution model for the architectures with differentiations. The simulation experiments illustrate the proposed model can appropriate distribute the architectural landscapes with differentiations with better pollution control effects.

Inter-state Disparities of Efficiency in Foreshortening Under-five Mortality Rate in Rural India

2021 ◽  
pp. 097300522110515
Author(s):  
Shrabanti Maity ◽  
Ummey Rummana Barlaskar
Keyword(s):  
Mortality Rate ◽  
Health System ◽  
Rural Health ◽  
Health Sector ◽  
State Level ◽  
Health Indicators ◽  
Health System Performance ◽  
Indian States ◽  
Under Five ◽  
Efficient Management

The present study aims to assess the efficiency of the rural health system to foreshorten the under-five (U5) mortality rates across Indian states. The study further attempts to pinpoint the factors responsible for state-level inefficiency of the rural health system performance. The empirical results reveal that among the Indian states, Kerala is the most-efficient in foreshortening the U5 mortality rate. The results convey that the states with better health indicators may not have efficient health systems. The study concludes that along with investment in the health sector, efficient management of the investment is intrinsic to better health outcomes.

Benchmarking performance of governance quality in Indian states using MCDM techniques

2018 ◽  
Vol 25 (8) ◽  
pp. 2850-2874
Author(s):  
Alok Raj ◽  
Rupika Khanna
Keyword(s):  
Service Delivery ◽  
State Level ◽  
Law And Order ◽  
Indian States ◽  
Policy Makers ◽  
Content Type ◽  
Promethee Ii ◽  
Social Service Delivery ◽  
Governance Quality ◽  
Key Indicators

Purpose The purpose of this paper is to benchmarking the governance performance of Indian states. Design/methodology/approach This paper provides a framework to measure governance performance at the state level. Using the data on 28 key indicators, the authors evaluate Indian states on seven broad dimensions of governance quality covering several aspects of public service delivery, regulatory quality and law and order. The empirical methodology involves the application of multi-criteria decision making techniques in two steps. The authors, first develop suitable weights of the identified dimensions and criteria under each dimension by applying the inputs of an expert-based decision-panel in a best-worst framework. Next, using these weights, the authors evaluate ranking of each state using TOPSIS and PROMETHEE-II methods. Findings The results indicate wide disparities in the governance performance of Indian states. Based on different indicators, the paper evaluates the rank of all the major Indian states. Results reveal that “Social Service Delivery(S)” is the most influencing dimension for the development of a state. Overall, the authors find Andra Pradesh, NCT of Delhi and Goa to be the leading states in terms of governance quality. Research limitations/implications The paper provides policy makers with easy to use operational indicators to analyse the governance performance of Indian states. These would help in better monitoring of these states through competitive goal-setting for continuous improvement. Originality/value To the best of the authors’ knowledge, this study is the first formal assessment of governance quality in the Indian states in a multi-criteria framework. To this end, the paper addresses the issue of wide regional disparities in the country. The findings of the paper provide powerful insights to policy makers in setting up appropriate strategies to eliminate these disparities.

A Three-Dimensional Load Sharing Model of Planetary Gear Sets Having Manufacturing Errors

2015 ◽  
Author(s):  
Nicholas D. Leque ◽  
Ahmet Kahraman
Keyword(s):  
Three Dimensional ◽  
Planetary Gear ◽  
Load Sharing ◽  
Distribution Model ◽  
Gear Mesh ◽  
Position Errors ◽  
Proposed Model ◽  
Manufacturing Errors ◽  
Manufacturing Tolerancing ◽  
Planetary Gear Sets

Planet-to-planet load sharing is a major design and manufacturing tolerancing issue in planetary gear sets. Planetary gear sets are advantageous over their countershaft alternatives in many aspects, provided that each planet branch carries a reasonable, preferably equal, share of the torque transmitted. In practice, the load shared among the planets is typically not equal due to the presence of various manufacturing errors. This study aims at enhancing the models for planet load sharing through a three-dimensional formulation of N-planet helical planetary gear sets. Apart from previous models, the proposed model employs a gear mesh load distribution model to capture load and time dependency of the gear meshes iteratively. It includes all three types of manufacturing errors, namely constant errors such as planet pinhole position errors and pinhole diameter errors, constant but assembly dependent errors such as nominal planet tooth thickness errors, planet bore diameter errors, and rotation and assembly dependent errors such as gear eccentricities and run-outs. At the end, the model is used to show combined influence of these errors on planet load sharing to aid designers on how to account for manufacturing tolerances in the design of the gears of a planetary gear set.

scholarly journals Model of information deterrence between states based on the theory of reflexive games

2020 ◽  
Author(s):  
V. A. Savchenko ◽  
◽  
T. M. Dzyuba
Keyword(s):  
State Level ◽  
Soviet Period ◽  
Theoretic Approach ◽  
State Behavior ◽  
Proposed Model ◽  
Game Theoretic ◽  
Pragmatic Aspects ◽  
Classical Game ◽  
Game Theoretic Approach ◽  
Post Soviet Period

The article considers the approach to modeling the processes of information counteraction and information deterrence at the state level. The shortcomings of the game-theoretic approach to the development of formalized models of information counteraction are identified. The concept of formalization of interstate information deterrence on the basis of the theory of reflexive management of V. Lefevre is offered. Unlike classical game theory, this approach takes into account the possible irrationality of human (state) behavior in combination with moral-motivational and pragmatic aspects of choice. The adequacy of the proposed model is confirmed by the analysis of examples of information confrontation between Ukraine and Russia in the post-Soviet period.

Reliability Analysis of Vehicle Equipment Based on Bayesian Method

2012 ◽  
Vol 253-255 ◽  
pp. 2091-2096
Author(s):  
Yan Feng Tang ◽  
Hui Mei Li ◽  
Xiang Kai Liu ◽  
Shao Qing Liu
Keyword(s):  
Parameter Estimation ◽  
Data Processing ◽  
Reliability Analysis ◽  
Bayesian Method ◽  
Distribution Model ◽  
Optimal Distribution ◽  
Model Based ◽  
Selection Of

Bayesian method was introduced and leaded into the vehicle fault data processing. The parameter estimation and the selection of the optimal distribution model based on Bayesian method were studied, and an example was given. The references are provided for the application of Bayesian method in the large complicated systems, such as vehicle equipments.

scholarly journals Multinormal In Vitro Distribution Model Suitable for the Distribution of Plasmodium falciparum Chemosusceptibility to Doxycycline

2008 ◽  
Vol 53 (2) ◽  
pp. 688-695 ◽  
Author(s):  
Sébastien Briolant ◽  
Meili Baragatti ◽  
Philippe Parola ◽  
Fabrice Simon ◽  
Adama Tall ◽  
...  
Keyword(s):  
Plasmodium Falciparum ◽  
Normal Distribution ◽  
Geometric Mean ◽  
Distribution Model ◽  
Bayesian Mixture ◽  
Republic Of The Congo ◽  
Component C ◽  
Bayesian Mixture Modeling ◽  
Mixture Modeling Approach

ABSTRACT The distribution and range of 50% inhibitory concentrations (IC50s) of doxycycline were determined for 747 isolates obtained between 1997 and 2006 from patients living in Senegal, Republic of the Congo, and Gabon and patients hospitalized in France for imported malaria. The statistical analysis was designed to answer the specific question of whether Plasmodium falciparum has different phenotypes of susceptibility to doxycycline. A triple normal distribution was fitted to the data using a Bayesian mixture modeling approach. The IC50 geometric mean ranged from 6.2 μM to 11.1 μM according to the geographical origin, with a mean of 9.3 μM for all 747 parasites. The values for all 747 isolates were classified into three components: component A, with an IC50 mean of 4.9 μM (±2.1 μM [standard deviation]); component B, with an IC50 mean of 7.7 μM (±1.2 μM); and component C, with an IC50 mean of 17.9 μM (±1.4 μM). According to the origin of the P. falciparum isolates, the triple normal distribution was found in each subgroup. However, the proportion of isolates predicted to belong to component B was most important in isolates from Gabon and Congo and in isolates imported from Africa (from 46 to 56%). In Senegal, 55% of the P. falciparum isolates were predicted to be classified as component C. The cutoff of reduced susceptibility to doxycycline in vitro was estimated to be 35 μM.

A Proposed Model for the Thermal Conductivity of Dry And Water-Saturated Tuff

1983 ◽  
Vol 26 ◽  
Author(s):  
M. Moss ◽  
G. M. Haseman
Keyword(s):  
Thermal Conductivity ◽  
Geometric Mean ◽  
Test Site ◽  
Single Equation ◽  
Nevada Test Site ◽  
Water Conductivity ◽  
Rock Types ◽  
Proposed Model ◽  
Water Saturated ◽  
Fluid Conductivity

ABSTRACTThe room-temperature thermal conductivities of two kinds of tuff from the Nevada Test Site have been measured on a linear-heat-flow thermal comparator. The results are the basis for an empirical model of the conductivity of these rocks in the dry and water-saturated conditions as a function of porosity. Tuff is one medium being considered for nuclear waste disposal. Devitrified, non-zeolitized tuffs with 6-22% porosity, and non-welded, zeolitized tuffs with 24-35% porosity were examined. The empirical geometric mean model is used to characterize the porosity-dependent thermal conductivity. We consider the rock matrix conductivity and the effective fluid conductivity as adjustable parameters in fitting the model to data for saturated and dehydrated samples, separately. For each rock type, the fitted value of matrix conductivity is the same in both the saturated and dehydrated cases; 2.3 and 1.1 W/(m.K) for the non-zeolitized and zeolitized tuffs, respectively. The fitted values for fluid conductivities are different for the the zeolitized and non-zeolitized tuffs, but the ratio of fitted water conductivity to fitted gas conductivity is very nearly the same for both rock types. This permits the use of a single equation to predict with good accuracy the ratio of saturated to dry rock conductivity.

Study on Constitutive Model of Weibull Distribution of Cement-Soil Uniaxial Stress Conditions

2012 ◽  
Vol 184-185 ◽  
pp. 810-817
Author(s):  
Zhi Nang Yu ◽  
Xin Jiang Song
Keyword(s):  
Constitutive Model ◽  
Weibull Distribution ◽  
Random Variable ◽  
Uniaxial Stress ◽  
Distribution Model ◽  
Proposed Model ◽  
Soil Stress ◽  
Uniaxial Compressive Test ◽  
Cement Soil ◽  
Nonlinear Elastic

According to the results of cement-soil uniaxial compressive test, consider cement-soil stress-strain relations as a continuous random process, the function of random variable obeys Weibull distribution, and introduce generalized hooke′s law in order to establish Weibull distribution of cement-soil constitutive model, solve the softening problem that a variety of incremental nonlinear elastic models cannot reflect the cement-soil. This paper discussed the parameter character of Weibull distribution model of cement-soil, presented the solving method of parameters of cement-soil Weibull distribution constitutive model, verified by results of test, revealed the rationality of the model and shows that the proposed model is more convenient than other model, have widely application value.

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