AHP-Based Method for Military Defence Project Risk Assessment

2011 ◽  
Vol 90-93 ◽  
pp. 3039-3042
Author(s):  
Bao Hua Liu
Keyword(s):  
Risk Assessment ◽  
Model Development ◽  
Development Project ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Type Classification

Based on the risk type classification of model development project, the paper used the analytic hierarchy process (AHP) method, established a AHP risk assessment model of development project, and described the risk assessment idea.

AHP-Driven Knowledge Leakage Risk Assessment Model

2020 ◽  
pp. 218-237 ◽  
Author(s):  
Haley Wing Chi Tsang ◽  
Wing Bun Lee ◽  
Eric Tsui
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Intellectual Capital ◽  
Value Chain ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Job Knowledge ◽  
Knowledge Leakage ◽  
Hierarchy Process

Intellectual Capital (IC) is becoming more widely understood by the academic and business communities, especially its important role in value creation of an organization. However, few people are aware that IC, if not managed properly, may also pose threats, sometime serious, to an organization. Knowledge leakage from an organization, for example, may come about when an experienced employee leaves for another job. Knowledge leakage is pervasive throughout an organization but is seldom noticed until the consequence is felt. This intellectual capital risk has to be systematically and effectively identified, assessed and controlled in the whole value chain of an organization. An AHP (Analytic Hierarchy Process) based multi-dimensional decision making and assessment model is developed to determine knowledge leakage risk in an organization.

The Application of Fuzzy Analytic Hierarchy Process Method and Artificial Neural Network Model in the Elevator Risk Assessment

2014 ◽  
Vol 1014 ◽  
pp. 552-555
Author(s):  
Xin Shi Li ◽  
You Cai Xu ◽  
Ran Tao ◽  
Shu Guo ◽  
Kun Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Analytic Hierarchy Process ◽  
Assessment Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Artificial Neural ◽  
Hierarchy Process

The tradition elevator risk assessment model depends on the expert experience, which causes that the assessment process takes a long time. To deal with this problem, this paper proposes a new risk assessment model which is based on fuzzy analytic hierarchy process (F-AHP) and artificial neural network (ANN). This model is applied to the risk-assessment of elevators. The results show that the assessment time is shorter and the accuracy is not lower, in comparison with the traditional model.

AHP-Driven Knowledge Leakage Risk Assessment Model

2016 ◽  
Vol 7 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Haley Wing Chi Tsang ◽  
Wing Bun Lee ◽  
Eric Tsui
Keyword(s):  
Risk Assessment ◽  
Intellectual Capital ◽  
Value Creation ◽  
Value Chain ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Job Knowledge ◽  
Knowledge Leakage ◽  
Hierarchy Process

Intellectual Capital (IC) is becoming more widely understood by the academic and business communities, especially its important role in value creation of an organization. However, few people are aware that IC, if not managed properly, may also pose threats, sometime serious, to an organization. Knowledge leakage from an organization, for example, may come about when an experienced employee leaves for another job. Knowledge leakage is pervasive throughout an organization but is seldom noticed until the consequence is felt. This intellectual capital risk has to be systematically and effectively identified, assessed and controlled in the whole value chain of an organization. An AHP (Analytic Hierarchy Process) based multi-dimensional decision making and assessment model is developed to determine knowledge leakage risk in an organization.

scholarly journals Risk assessment model in inventory management using the AHP method

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Andréa Carla Monteiro Sales ◽  
Luciana Gondim de Almeida Guimarães ◽  
Alípio Ramos Veiga Neto ◽  
Walid Abbas El-Aouar ◽  
Glauber Ruan Pereira
Keyword(s):  
Inventory Management ◽  
Material Handling ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Ahp Method ◽  
Metal Production ◽  
Analytic Hierarchy ◽  
Production Chain ◽  
Hierarchy Process ◽  
Consumption Demand

Abstract: Identification and hierarchy of risks in inventory management allow mapping and generating a plan of actions in order to control them, diminish them or even extinguish them. This research aims to identify and measure the degree of importance of the main problems encountered in the sector of a metal production chain. The method used to develop this research is the Analytic Hierarchy Process (AHP), in order to hierarchize and thus defines the best way to manage risks. The main results of this study reveal that each area of the organization presents a risk that stands out in the management of inventories, allowing the company to control its expenses better, aligning itself with the companies' strategy of producing at the lowest cost. Excess consumption (demand), supplier delay (supply), and stock divergence (material handling) were highlighted as the major risks in their categories. This study revealed that in the category of demand risks, excess consumption was identified as the most critical risk, in the supply category, the supplier delay was identified at the highest risk and finally in the material handling category, the risk divergence of inventory obtained the highest percentage in relation to the other problems.

scholarly journals Risk assessment of corroded casing based on analytic hierarchy process and fuzzy comprehensive evaluation

2020 ◽  
Author(s):  
Sheng-Shan Chen ◽  
Han-Xiang Wang ◽  
Hao Jiang ◽  
Ya-Nan Liu ◽  
Yan-Xin Liu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Analytic Hierarchy Process ◽  
Risk Evaluation ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Risk Level ◽  
Risk Assessment Model ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Abstract Casing corrosion during CO2 injection or storage results in significant economic loss and increased production risks. Therefore, in this paper, a corroded casing risk assessment model based on analytic hierarchy process and fuzzy comprehensive evaluation is established to identify potential risks in time. First, the corrosion rate and residual strength characteristics are analyzed through corrosion tests and numerical simulations, respectively, to determine the risk factors that may lead to an accident. Then, an index system for corroded casing risk evaluation is established based on six important factors: temperature, CO2 partial pressure, flow velocity, corrosion radius, corrosion depth and wellhead pressure. Subsequently, the index weights are calculated via the analytic hierarchy process. Finally, the risk level of corroded casing is obtained via the fuzzy comprehensive evaluation. The corroded casing risk assessment model has been verified by a case well, which shows that the model is valuable and feasible. It provides an effective decision-making method for the risk evaluation of corroded casing in CO2 injection well, which is conductive to improve the wellbore operation efficiency.

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