scholarly journals A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Vaccines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 718
Author(s):  
Sayed F. Abdelwahab ◽  
Usama H. Issa ◽  
Hossam M. Ashour
Keyword(s):  
Decision Making ◽  
Cost Savings ◽  
Analytic Hierarchy ◽  
Related Factors ◽  
Proposed Model ◽  
Criteria Weights ◽  
Selection Decision ◽  
Vaccine Availability ◽  
Decision Making Model ◽  
Hierarchy Process

Selecting a vaccine for fighting a pandemic is one of the serious issues in healthcare. Novel decision models for vaccine selection need to be developed. In this study, a novel vaccine selection decision-making model (VSDMM) was proposed and developed, based on the analytic hierarchy process (AHP) technique, which assesses many alternatives (vaccines) using multi-criteria to support decision making. To feed data to the VSDMM, six coronavirus disease-19 (COVID-19) vaccines were selected in a case study to highlight the applicability of the proposed model. Each vaccine was compared to the others with respect to six criteria and all criteria were compared to calculate the relative weights. The proposed criteria include (1) vaccine availability; (2) vaccine formula; (3) vaccine efficacy; (4) vaccine-related side effects; (5) cost savings, and (6) host-related factors. Using the selected criteria, experts responded to questions and currently available COVID-19 vaccines were ranked according to their weight in the model. A sensitivity analysis was introduced to assess the model robustness and the impacts of changing criteria weights on the results. The VSDMM is flexible in terms of its ability to accept more vaccine alternatives and/or more criteria. It could also be applied to other current or future pandemics/epidemics in the world. In conclusion, this is the first report to propose a VSDMM for selecting the most suitable vaccines in pandemic/epidemic situations or any other situations in which vaccine selection and usage may be deemed necessary.

A Novel Integrated Strategic Portfolio Decision-Making Model

2017 ◽  
Vol 8 (3) ◽  
pp. 1-44 ◽  
Author(s):  
Darius Danesh ◽  
Michael J. Ryan ◽  
Alireza Abbasi
Keyword(s):  
Decision Making ◽  
Data Envelopment ◽  
Analytic Hierarchy ◽  
Expected Return ◽  
Proposed Model ◽  
Selection Decision ◽  
Portfolio Decision ◽  
Novel Method ◽  
Decision Making Model ◽  
Hierarchy Process

This study proposes a novel method for portfolio selection/decision making that combines the Portfolio Theory (PT), Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) cross-efficiency technique. It takes into account the profits, risks and proficiency of a portfolio and is shown to be useful for selecting one with positive and negative data and subsequently measuring its efficiency using AHP, with a consistency test conducted to verify the objectivity of the results. To test the applicability of the proposed model, it is used to determine the efficiency levels of ten of the largest companies in Australia for the years 2014 and 2015. Two criteria, namely, the expected return and variance, are used to identify the preference status of each company. The results indicate that the proposed model is feasible and adoptable for the contemporary industrial scenario as it simultaneously analyses profits, risks and proficiency.

Prioritization of Bank Selection Decision in Pandemic Process Using a Novel Decision-Making Model

2021 ◽  
pp. 477-492
Author(s):  
Ahmet Çalık ◽  
Bilge Afşar
Keyword(s):  
Decision Making ◽  
Interest Rate ◽  
Selection Criteria ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Selection Decision ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Selection Of

In Turkey, since March 2020, the pandemic process caused changes in the bank selection of consumers as it affected all other activities. Prioritization of bank selection criteria is a multi-criteria decision-making (MCDM) problem with conflicting criteria. In this study, the Pythagorean fuzzy analytic hierarchy process (PFAHP) is used to prioritize the selection criteria, it is aimed to provide more freedom for decision-makers in expressing their opinions. Not only quantitative criteria such as interest rate, ATM, and number of branches, but also the environmental and social impacts of the pandemic, the nine main criteria have been determined. As a result of interviews with different sectors, it was found that the loan interest rate is the most important criterion. The results were compared with different classical and fuzzy AHP methods, and it was found that the PFAHP method produced reliable and informative results that better represented the uncertainty of the decision-making process.

Decision-Making Model for Convention Site Selection

2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Political Conflict ◽  
Decision Makers ◽  
City Image ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Decision Making Model ◽  
Hierarchy Process

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.

Material Selection Decision-Making Method for Multi-material Lightweight Automotive Body Driven by Performance

2021 ◽  
pp. 146442072110556
Author(s):  
Dengfeng Wang ◽  
Shenhua Li
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
The Body ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Lightweight Material ◽  
Automotive Body ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of

This work proposes a material selection decision-making method for multi-material lightweight body driven by performance to achieve that the right materials are used for the correct positions of the automotive body. The internal relationship between performance and mass, cross-sectional shape, wall thickness parameters, and material properties of a thin-walled structure is studied. The lightweight material indices driven by performance are then established. The lightweight material indices and material price are taken as the decision-making criteria for the material selection of automotive body components. A hybrid weighting method integrated with the analytic hierarchy process, fuzzy analytic hierarchy process, and quality function deployment is proposed. The difficulty of quantitatively evaluating the performance requirements of different components of the body is solved using the proposed weighting method combined with the numerical analytical results of the component performance under multiple operating conditions of the automotive body. Then, the weight of the decision-making criteria for material selection is calculated. Grey relational analysis is used to make multicriteria decision-making on a variety of candidate materials to select the best material for body components. After the lightweight material selection of the front longitudinal beam of the automotive body, the frontal collision safety performance of the body is effectively improved, and the mass of the front longitudinal beam is reduced by 45%. Material selection result of the front longitudinal beam indicates that the proposed material selection decision-making method can effectively achieve the fast material selection of components in different positions of the body.

scholarly journals A Fuzzy-Based Decision-Making Model for Improving the Carrying Capacity of Ship Locks: A Three Gorges Dam Case

2019 ◽  
Vol 7 (8) ◽  
pp. 244
Author(s):  
Shaoyue Shi ◽  
Danhong Zhang ◽  
Yixin Su ◽  
Chengpeng Wan ◽  
Mingyang Zhang ◽  
...  
Keyword(s):  
Decision Making ◽  
Carrying Capacity ◽  
Real Life ◽  
Three Gorges Dam ◽  
Three Gorges ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Order Preference ◽  
Real Life Situation ◽  
Decision Making Model

This paper develops a decision-making model to assist the improvement of the carrying capacity of ship locks by combing fuzzy logic, the analytic hierarchy process (AHP) method, and the technique for order preference by similarity to an ideal solution (TOPSIS). A three-level hierarchical structure is constructed to identify the key factors influencing the carrying capacity of ship locks from the aspects of ship locks, vessels, environment, and administration. On this basis, a series of targeted strategies have been put forward to improve the carrying capacity of ship locks, and the TOPSIS method is applied to rank these strategies in terms of their performance. A case study of the five-stage dual-track ship lock of the Three Gorges Dam in China has been conducted to demonstrate the feasibility and rationality of the proposed model, and correlation analysis is conducted to verify the identified influencing factors in order to eliminate potential bias which may be generated from using AHP. The results obtained from the proposed methods are consistent with the real-life situation to a certain extent, indicating that the proposed method can provide a useful reference for improving the carrying capacity of ship locks.

Research on Airline Operational Control Model Based on Analytic Hierarchy Process

2014 ◽  
Vol 496-500 ◽  
pp. 1365-1368
Author(s):  
Li Sha Li
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Factor Model ◽  
Control Process ◽  
Final Decision ◽  
Related Factor ◽  
Operational Control ◽  
Analytic Hierarchy ◽  
Related Factors ◽  
Hierarchy Process

With expansion of airlines fleet capacity in China, airlines pay more attention to airline profit, service evaluation, etc., besides flight safety. Therefore it is important to study on operational control approaches that can promote operational efficiency, guarantee flight on-schedule rate and reduce operational cost. In this paper, an Analytic Hierarchy Process is employed to build a related-factor model mainly influencing dispatchers making decision in the operational control process of airlines. This process makes the complicated decision-making system hierarchic and analyzes the importance of all related factors by comprising their importance in a hierarchical way. Through an algorithmic example and data analysis, the operational control decision-making model of an assisting nature based on hierarchic analysis in this paper can provide quantitative basis for final decision making.

scholarly journals The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2706
Author(s):  
Adam Kaizer ◽  
Tomasz Neumann
Keyword(s):  
Decision Making ◽  
Computer Program ◽  
Priority Queue ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
Port Area ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Expert Study

The aim of the research was to create a decision-making model, which would be able to support planning, organizing and conducting the dredging works in the port area. The proposed solution is a multiple element system which enables to verify, in a comprehensive way, the majority of the aspects determining the quality and the time of dredging enterprise realization. The paper presents an original approach to the decision-making process during the organization of dredging works, using the computer program. In order to achieve the main goal of the study, the conditions of dredging works were considered. Furthermore, the factors that have an influence on the schedule of the project were evaluated and algorithms, as well as process organization schemes, were developed. If it is not enough, the decision models corresponding to the discussed issue were analysed and the computer program was created. And last but not the least, the proposed project and equipment were verified using a simulation model. While creating this model, the method of multiple criteria AHP (Analytic Hierarchy Process) decision support was used. Moreover, the mass service model with the priority queue regulations, the expert study, and statistical analysis of the traffic flow, were provided. The model was developed in reliance to multiple criteria studies, based on the opinions of multinational experts. These enabled to adjust each element of the system in accordance with various locations. As a result of the research, the following thesis has been proven, that detailed analysis of the conditions of dredging works and taking into account the received conclusions enables to reduce the costs and shorten the time of dredging projects realizations.

scholarly journals Multi-Criteria Decision-Making Model Evaluating the Performance of Vietnamese Commercial Banks

2017 ◽  
Vol 9 (1) ◽  
pp. 132 ◽  
Author(s):  
Dinh Xuan Cuong ◽  
Hoang Thi Hien ◽  
Tran Long
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Commercial Banks ◽  
Decision Model ◽  
Evaluation Model ◽  
Multi Criteria Decision Making ◽  
Proposed Model ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Research Show

The commercial banks (CBs) performance evaluating has been a necessary problem in currently integration trend and usually implemented by a committee of experts under criteria selected. Therefore, it is considered as a Multi - Criteria Decision - Making model (MCDM). Nowadays, there have been many researches proposing various standards and models to evaluate and rank CBs. But in Vietnam, the number of studies related to the Vietnamese banking evaluation model have still been limited. As a result, this study develops a multi-criteria decision model integrating Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy the Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). The proposed model has evaluated and ranked five Vietnamese commercial banks including CTG, VCB, BIDV, TCB and MB. The paper revealed their ranks. Besides, the results of the research show that the Analytical Hierarchy Process (AHP) model is suitable for applying it to the process evaluating bank performance.

scholarly journals Optimization of Decision-Making in Port Logistics Terminals: Using Analytic Hierarchy Process for the Case of Port of Thessaloniki

2014 ◽  
Vol 15 (4) ◽  
pp. 255-268 ◽  
Author(s):  
Michael Gogas ◽  
Konstantinos Papoutsis ◽  
Eftihia Nathanail
Keyword(s):  
Decision Making ◽  
Decision Models ◽  
Analytic Hierarchy ◽  
Investment Projects ◽  
Complex Process ◽  
Wide Range ◽  
Decision Making Processes ◽  
Private Management ◽  
Decision Making Model ◽  
Hierarchy Process

Abstract The management models pursued in logistics terminals determine their performance to a great extent. Terminals managed by public actors usually incorporate more social criteria into their decision-making processes. In addition, private management focuses on economic viability of the initiative. Decision-making is a complex process regardless the structure of management or the decision models useddue to the fact that a wide range of diverse criteria are embedded into this process. The objective of this paper it to determine a prioritization of a set of alternative options for investment projects which were suggested by port executives taking into account criteria and evaluation that have already validated by them. In order to perform the analysis a multi-criteria decision-making model was used: the Analytic Hierachy Process. The outcomes support a low-biased and efficient strategic planning through a balanced decision-making framework.

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