SELLER-BUYER RELATIONSHIP WHEN END DEMAND IS SENSITIVE TO PRICE AND PROMOTION

2009 ◽  
Vol 26 (05) ◽  
pp. 605-621 ◽  
Author(s):  
MARYAM ESMAEILI ◽  
PRAKASH L. ABAD ◽  
MIR-BAHADOR ARYANEZHAD
Keyword(s):  
Sensitivity Analysis ◽  
Cooperative Game ◽  
Efficient Solutions ◽  
Unit Price ◽  
Numerical Example ◽  
Pareto Efficient ◽  
Stackelberg Model

In this paper, we consider a seller–buyer channel in which marketing expenditure is an endogenous decision for the buyer. We assume that both the unit marketing expenditure and the unit price charged by the buyer influence the end demand for the product. We model the seller–buyer relationship as a non-cooperative as well as a cooperative game. We investigate the non-cooperative game from two perspectives: the Seller–Stackelberg model and the Buyer–Stackelberg model. In the cooperative game, we provide a procedure for outlining Pareto efficient solutions. For each model, we present a numerical example as well as sensitivity analysis with respect to the two key parameters in the model.

A MULTICRITERIA DECISION SUPPORT SYSTEM FOR COMPETENCE-DRIVEN PROJECT PORTFOLIO SELECTION

2009 ◽  
Vol 08 (02) ◽  
pp. 379-401 ◽  
Author(s):  
CHRISTIAN STUMMER ◽  
ELMAR KIESLING ◽  
WALTER J. GUTJAHR
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Efficient Solutions ◽  
Project Portfolio ◽  
Practical Application ◽  
Multicriteria Decision ◽  
Pareto Efficient ◽  
Conducting Research ◽  
Multicriteria Decision Support

The systematic and proactive development of human resources is of major importance in organizations that rely heavily on the competencies of their employees when engaging in innovative endeavors. Human capital, however, is not only a resource required for conducting research, but also the eventual result of that research. When selecting a research portfolio, the decision-maker (DM) thus needs to take into consideration both current and future competence requirements, as well as other financial and nonfinancial objectives and constraints. We introduce a proper multicriteria decision support system (MCDSS) that first determines the set of Pareto-efficient solutions and then allows the DM to interactively filter and/or explore this set in various ways. Its practical application is demonstrated by means of a showcase at the Electronic Commerce Competence Center (EC3) in Vienna, Austria.

Sensitivity Analysis to Attribute Values Based on Grey Correlation in Multiple Attribute Decision Making

2013 ◽  
Vol 850-851 ◽  
pp. 927-931
Author(s):  
Zheng Dong Huang ◽  
Hong Xiang Feng
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Search Algorithm ◽  
Multiple Attribute Decision Making ◽  
Analysis Model ◽  
Grey Correlation ◽  
Numerical Example ◽  
Multiple Attribute ◽  
Variation Interval

With respect to the multiple attribute decision making problems based on grey correlation, sensitivity analysis is proceeded to attribute values, and analysis model as well as search algorithm are given to compute the attribute variation interval which maintain the original rank. Finally, a numerical example was presented.

Development of an Inverse Approach for the Characterization of In Vivo Mechanical Properties of the Lower Limb Muscles

2014 ◽  
Vol 136 (11) ◽  
Author(s):  
Jean-Sébastien Affagard ◽  
Sabine F. Bensamoun ◽  
Pierre Feissel
Keyword(s):  
Sensitivity Analysis ◽  
Displacement Field ◽  
Inverse Method ◽  
Model Updating ◽  
Mechanical Test ◽  
Imaging Techniques ◽  
Image Correlation ◽  
Thigh Muscle ◽  
Experimental Noise ◽  
Numerical Example

The purpose of this study was to develop an inverse method, coupling imaging techniques with numerical methods, to identify the muscle mechanical behavior. A finite element model updating (FEMU) was developed in three main interdependent steps. First, a 2D FE modeling, parameterized by a Neo-Hookean behavior (C10 and D), was developed from a segmented thigh muscle 1.5T MRI (magnetic resonance imaging). Thus, a displacement field was simulated for different static loadings (contention, compression, and indentation). Subsequently, the optimal mechanical test was determined from a sensitivity analysis. Second, ultrasound parameters (gain, dynamic, and frequency) were optimized on the thigh muscles in order to apply the digital image correlation (DIC), allowing the measurement of an experimental displacement field. Third, an inverse method was developed to identify the Neo-Hookean parameters (C10 and D) by performing a minimization of the distance between the simulated and measured displacement fields. To replace the experimental data and to quantify the identification error, a numerical example was developed. The result of the sensitivity analysis showed that the compression test was more adapted to identify the Neo-Hookean parameters. Ultrasound images were recorded with a frequency, gain, and dynamic of 9 MHz, 34 dB, 42 dB, respectively. In addition, the experimental noise on displacement field measurement was estimated to be 0.2 mm. The identification performed on the numerical example revealed a low error for the C10 (<3%) and D (<7%) parameters with the experimental noise. This methodology could have an impact in the scientific and medical fields. A better knowledge of the muscle behavior will help to follow treatment and to ensure accurate medical procedures during the use of robotic devices.

Reliability Analysis of Structure with Local Sunken Plate

2010 ◽  
Vol 118-120 ◽  
pp. 424-428
Author(s):  
Wei Guang An ◽  
Ming Liu ◽  
Wei Tao Zhao
Keyword(s):  
Sensitivity Analysis ◽  
Reliability Analysis ◽  
Ultimate Strength ◽  
Plate Element ◽  
Numerical Example ◽  
Reliability Calculation

The influence of the local sunken plate on ultimate strength is analyzed, and reliability calculation and sensitivity analysis expressions of the plate element are also given in this paper. Finally, taking a numerical example, the influence of each sunken factor on plate ultimate strength reliability is analyzed. The result indicates that the influence of sunken diameter and sunken depth on reliability is larger. The method that is given in this paper, it is a reference for reasonable maintenance of structure.

scholarly journals Mathematical programming involving (α, p)-right upper-Dini-derivative functions

Filomat ◽  
2013 ◽  
Vol 27 (5) ◽  
pp. 899-908 ◽  
Author(s):  
Dehui Yuan ◽  
Xiaoling Liu
Keyword(s):  
Mathematical Programming ◽  
Directional Derivative ◽  
Efficient Solutions ◽  
Sufficient Optimality Conditions ◽  
Generalized Convex Functions ◽  
Dini Derivative ◽  
Duality Results ◽  
Multi Objective Programming ◽  
Pareto Efficient ◽  
Generalized Convexities

In this paper, we give some new generalized convexities with the tool-right upper-Dini-derivative which is an extension of directional derivative. Next, we establish not only Karush-Kuhn-Tucker necessary but also sufficient optimality conditions for mathematical programming involving new generalized convex functions. In the end, weak, strong and converse duality results are proved to relate weak Pareto (efficient) solutions of the multi-objective programming problems (VP), (MVD) and (MWD).

scholarly journals Sensitivity analysis of key operating parameters of combine harvesters

2016 ◽  
Vol 62 (No. 3) ◽  
pp. 113-121 ◽  
Author(s):  
M. Kavka ◽  
M. Mimra ◽  
F. Kumhála
Keyword(s):  
Sensitivity Analysis ◽  
Unit Cost ◽  
Mean Value ◽  
Unit Price ◽  
Operating Parameters ◽  
Purchase Price ◽  
Personnel Costs ◽  
Combine Harvester ◽  
Combine Harvesters ◽  
The Cost

The sensitivity analysis of key operating parameters on the average annual sub-profit in a group of three combine harvesters operating in companies providing agricultural services were analysed. Based on the results of the cost analysis, the following key operating parameters with the greatest influence on the costs were identified: the purchase price of the machine, the price of fuel, maintenance costs, personnel costs and annual performance. These parameters were used in the sensitivity analysis to investigate their effect on unit costs. Changing the above-mentioned parameters is calculated within ± 30% from their mean value. To perform a sensitivity analysis of the average annual sub-profit of combine harvesters, the unit price of mechanized work was additionally used. The results showed that greatest impact on both the average annual earnings of combines operation and on the changes in unit cost was those of the annual performance of the combine harvester, combine harvester purchase price and the cost of fuel. On the other hand, maintenance and personnel costs had a smaller influence concerning these changes of parameters.

ECONOMIC PRODUCTION RUN LENGTH AND WARRANTY PERIOD FOR PRODUCT WITH WEIBULL LIFETIME

2008 ◽  
Vol 25 (06) ◽  
pp. 753-764
Author(s):  
CHUNG-HO CHEN
Keyword(s):  
Sensitivity Analysis ◽  
Production Process ◽  
Inventory Cost ◽  
Run Length ◽  
Numerical Example ◽  
Warranty Period ◽  
Economic Production ◽  
Production Run ◽  
Total Profit

Traditional economic manufacturing quantity (EMQ) model addressed the perfect production for product. However, there possibly exists the defective product in the production process. In this paper, we present a modified EMQ model with shortage based on considering the product revenue and the inventory cost. The economic production run length, the maximum shortage level, and the optimal warranty period are simultaneously determined for obtaining the maximum expected total profit per year. The numerical example and the sensitivity analysis are further provided for illustration.

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