Sensitivity Analysis of Road Transport by Sensibility of Production-Function

2013 ◽  
Vol 581 ◽  
pp. 539-546
Author(s):  
Béla Illés ◽  
János Németh
Keyword(s):  
Sensitivity Analysis ◽  
Production Function ◽  
Road Transport ◽  
Parameter Sensitivity ◽  
Elasticity Analysis ◽  
Parameter Sensitivity Analysis ◽  
Ceteris Paribus ◽  
Vehicle Fleet

There are several methods and equations which are used to evaluate the efficiency of the service vehicle fleet of logistic. The aim of this paper is to introduce a well handle method. The base of this method is the production function and it can define the influence of the parameters. The CP (ceteris paribus) method is used by the examinations. At first we take consideration to the non changed parameters are in the examined range by the examination of the multi parameter production function. The parameter sensitivity analysis is guided back to elasticity analysis where the effects of changes of the ratio of influence is examined to the influential ratios.

Parameter Sensitivity Analysis of a Large-Scale System With Several Components Interacting in Series

1989 ◽  
Author(s):  
H. Torab
Keyword(s):  
Sensitivity Analysis ◽  
Large Scale ◽  
Optimization Problems ◽  
Parameter Sensitivity ◽  
Engineering Optimization ◽  
Parameter Sensitivity Analysis ◽  
Large Scale Systems ◽  
In Series ◽  
Special Case ◽  
Engineering Optimization Problems

Abstract Parameter sensitivity for large-scale systems that include several components which interface in series is presented. Large-scale systems can be divided into components or sub-systems to avoid excessive calculations in determining their optimum design. Model Coordination Method of Decomposition (MCMD) is one of the most commonly used methods to solve large-scale engineering optimization problems. In the Model Coordination Method of Decomposition, the vector of coordinating variables can be partitioned into two sub-vectors for systems with several components interacting in series. The first sub-vector consists of those variables that are common among all or most of the elements. The other sub-vector consists of those variables that are common between only two components that are in series. This study focuses on a parameter sensitivity analysis for this special case using MCMD.

scholarly journals Parameter Sensitivity Analysis of a Stochastic Ca2+ Spark Model using Novel Computational Methods

2012 ◽  
Vol 102 (3) ◽  
pp. 100a-101a
Author(s):  
Young-Seon Lee ◽  
Ona Liu ◽  
Bjorn C. Knollmann ◽  
Eric A. Sobie
Keyword(s):  
Sensitivity Analysis ◽  
Computational Methods ◽  
Parameter Sensitivity ◽  
Parameter Sensitivity Analysis
Sign in / Sign up

Export Citation Format

Share Document