scholarly journals Sensitivity Analysis Model Bus Timetabling Problem by Considering Passenger Ease

2019 ◽  
Vol 8 (2S7) ◽  
pp. 11-16
Keyword(s):  
Sensitivity Analysis ◽  
Optimal Number ◽  
Profit Function ◽  
Analysis Model ◽  
Optimal Model ◽  
Timetabling Problem ◽  
Operational Costs ◽  
Bus Scheduling ◽  
Time Table ◽  
Corporate Profits

The optimal Model Bus Timetabling Problem (MBTP) is a simplification of bus scheduling cases where a bus departure schedule with the optimal number of trips will be searched. The optimal number of trips is defined by maximizing the profit function of the bus by considering constraints such as the availability of buses, the executing officers, the number of passengers and the travel time. This model was developed by adding the constraints of ease of passengers in remembering the schedule. The model is then modified and completed using the branch and bound algorithm. The result of the sensitivity analysis to the model shows that the addition of bus or employee by the manager will not be directly proportional to the addition of passengers. So the addition of buses and employees is done when passengers increase. In addition, the addition of constraints ease passengers in reading the time table will make the increase in corporate profits with the consequences of decreased levels of passenger comfort. If the company chooses to improve the comfort of passengers it will affect the increase of the company's operational costs.

Structure Sensitivity Analysis and Dynamic Performance Optimization of Marine Gearbox

2017 ◽  
Author(s):  
Tengjiao Lin ◽  
Daokun Xie ◽  
Ziran Tan ◽  
Bo Liu
Keyword(s):  
Sensitivity Analysis ◽  
Performance Optimization ◽  
Optimization Design ◽  
Dynamic Performance ◽  
Structure Sensitivity ◽  
Superposition Method ◽  
Structure Parameters ◽  
Analysis Model ◽  
Vibration Acceleration ◽  
Response Optimization

The aim of this paper is to investigate the influence of structure parameters on the vibration characteristics and improve the dynamic performance of marine gearbox. A finite element model was established to solve the dynamic response by using modal superposition method. Based on the theory of multi-objective optimization design, the structure sensitivity analysis model of marine gearbox was established, which takes the structure parameters of the housing as design variables. The modal and response sensitivity was obtained by using the optimal gradient method. According to the results of sensitivity analysis, a modal and response optimization model of marine gearbox was established. The objective was to avoid natural frequencies from the excitation frequencies and minimize the root mean square of vibration acceleration of the evaluating points on the surface of housing. Then the modal optimization and response optimization of gearbox were carried out by using zero-order and first-order optimization method. The results indicate that the dynamic optimization of the gearbox can be achieved. After optimization, the amplitude of vibration acceleration of the evaluating points on the housing surface has been reduced and the resonance of marine gearbox can be avoided.

Cost Benefit and Utility Decision Analysis of Turbinoplasty with Adenotonsillectomy for Pediatric Sleep-Disordered Breathing

2019 ◽  
Vol 161 (2) ◽  
pp. 343-347 ◽  
Author(s):  
Grace Baik ◽  
Scott E. Brietzke
Keyword(s):  
Sensitivity Analysis ◽  
Decision Analysis ◽  
Sleep Disordered Breathing ◽  
Treatment Success ◽  
Cost Benefit ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
Baseline Model ◽  
Turbinate Hypertrophy ◽  
Disordered Breathing

Objectives Use decision analysis techniques to assess the potential utility gains/losses and costs of adding bilateral inferior turbinoplasty to tonsillectomy/adenoidectomy (T/A) for the treatment of obstructive sleep-disordered breathing (oSDB) in children. Use sensitivity analysis to explore the key variables in the scenario. Study Design Cost-utility decision analysis model. Setting Hypothetical cohort. Subjects and Methods Computer software (TreeAge Software, Williamstown, Massachusetts) was used to construct a decision analysis model. The model included the possibility of postoperative complications and persistent oSDB after surgery. Baseline clinical and quality-adjusted life year (QALY) parameters were estimated using published data. Cost data were estimated from Centers for Medicare and Medicaid 2018 databases ( www.cms.gov ). Sensitivity analyses were completed to assess for key model parameters. Results The utility analysis of the baseline model favored the addition of turbinoplasty (0.8890 vs 0.8875 overall utility) assuming turbinate hypertrophy was present. Sensitivity analysis indicated the treatment success increase (%) provided by concurrent turbinoplasty was the key parameter in the model. A treatment success increase of 3% of turbinoplasty was the threshold where concurrent turbinoplasty was favored over T/A alone. The incremental cost-effectiveness ratio (ICER) of $27,333/QALY for the baseline model was favorable to the willingness-to-pay threshold of $50,000 to $100,000/QALY for industrialized nations. Conclusions The addition of turbinoplasty for children with turbinate hypertrophy to T/A for the treatment of pediatric oSDB is beneficial from both a utility and cost-benefit analysis standpoint even if the benefits of turbinoplasty are relatively modest.

A Simulation Model for Multi-Factor Sensitivity Analysis on Energy Demand

2012 ◽  
Vol 621 ◽  
pp. 352-355
Author(s):  
Zhong Fu Tan ◽  
Shu Xiang Wang ◽  
Chen Zhang ◽  
Li Qiong Lin ◽  
Yin Hui Zhao
Keyword(s):  
Sensitivity Analysis ◽  
Energy Efficiency ◽  
Regression Model ◽  
Simulation Model ◽  
Influencing Factors ◽  
Energy Demand ◽  
Analysis Model ◽  
Demand Forecast ◽  
Population Urbanization

This paper analyses multi influencing factors of energy demand, using energy demand forecast regression model reveals inner relations between each factor and energy demand. Establish simulation model of the relation between GDP, energy intense and energy demand. Under the change in population, urbanization and energy efficiency, this paper gives analysis model of energy demand change.

scholarly journals A New DEA Model for Evaluation of Supply Chains: A Case of Selection and Evaluation of Environmental Efficiency of Suppliers

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 565 ◽  
Author(s):  
Krmac ◽  
Djordjević
Keyword(s):  
Sensitivity Analysis ◽  
Complex Problem ◽  
Environmental Efficiency ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Chain Management ◽  
Dea Model ◽  
Multi Stage ◽  
Stage System

Supply Chain Management (SCM) represents an example of a complex multi-stage system. The SCM involves and connects different activities, from customer’s orders to received services, all with the aim of satisfying customers. The evaluation of a particular SCM is a complex problem because of the internally linked hierarchical activities and multiple entities. In this paper, the introduction of a non-radial DEA (Data Envelopment Analysis) model for the evaluation of different components of SCM, primarily in terms of sustainability, is the main contribution. However, in order to confirm the novelty and benefits of this new model in the field of SCM, a literature review of past applications of DEA-based models and methods are also presented. The non-radial DEA model was applied for the selection and evaluation of the environmental efficiency of suppliers considering undesirable inputs and outputs resulting in a better ranking of suppliers. Via perturbation of the data used, behavior, as well as the benefits and weaknesses of the introduced model are presented through sensitivity analysis.

Sensitivity analysis of criteria to optimize wind farm localizing: A case study

2019 ◽  
Vol 44 (3) ◽  
pp. 294-312 ◽  
Author(s):  
Mostafa Rezaei ◽  
Ali Mostafaeipour ◽  
Mohammad Saidi-Mehrabad ◽  
Mojtaba Qolipour ◽  
Ahmad Sedaghat ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Wind Farm ◽  
Distribution Networks ◽  
Data Envelopment Analysis Model ◽  
Dual Model ◽  
Analysis Model ◽  
Factors Affecting ◽  
Site Localization ◽  
The City

The objective of this study was to perform a sensitivity analysis on the factors affecting wind site localization. A case study is selected based on 13 cities in the province of Fars in Iran which is equally applicable in any other wind sites. Then, the cities are ranked using the dual form of the data envelopment analysis model. Next, six criteria are adopted including wind conditions, population, Available Land condition, distance to distribution networks, rate of natural disasters, and the cost of land. In the sensitivity analysis of each criterion, first, the criterion under analysis is omitted from the model, and then the dual model is applied again to obtain a new ranking. Evaluating the results of the ranking for 13 studied cities indicate that the city of Shiraz is just sensitive to the population criterion and fell 11 places in the ranking by omitting this criterion. But the city is insensitive to any other criteria.

Study on Kinematics Sensitivities of Folder Mechanism with Clearance

2011 ◽  
Vol 121-126 ◽  
pp. 4764-4769
Author(s):  
Ying Cai Yuan ◽  
Yan Li ◽  
Yi Ming Wang ◽  
Qiang Guo
Keyword(s):  
Sensitivity Analysis ◽  
High Velocity ◽  
High Speed ◽  
Development Trend ◽  
Matrix Analysis ◽  
Analysis Model ◽  
Design Variables ◽  
The Matrix ◽  
The Stability ◽  
Definition Of

High velocity and stability are the development trend and inevitable requirement, but the clearance would make the stability of mechanical system deceased, especially in high speed. To the folder mechanism with clearances in high velocity, combined with the definition of sensitivity and the kinematics analysis, the kinematics sensitivity analysis model is derived by the matrix analysis method. Through the sensitivity analysis model, it can be easy to get the relationship of the design variables and the mechanism’s robustness, which provides the base to design the folder mechanism in high velocity.

scholarly journals A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3975 ◽  
Author(s):  
Irian Leyva-Pupo ◽  
Alejandro Santoyo-González ◽  
Cristina Cervelló-Pastor
Keyword(s):  
Linear Programming ◽  
Optimal Solution ◽  
Cost Savings ◽  
Computation Time ◽  
Optimal Number ◽  
Use Cases ◽  
Next Generation Networks ◽  
Placement Problem ◽  
Communication Latency ◽  
Operational Costs

Achieving less than 1 ms end-to-end communication latency, required for certain 5G services and use cases, is imposing severe technical challenges for the deployment of next-generation networks. To achieve such an ambitious goal, the service infrastructure and User Plane Function (UPF) placement at the network edge, is mandatory. However, this solution implies a substantial increase in deployment and operational costs. To cost-effectively solve this joint placement problem, this paper introduces a framework to jointly address the placement of edge nodes (ENs) and UPFs. Our framework proposal relies on Integer Linear Programming (ILP) and heuristic solutions. The main objective is to determine the ENs and UPFs’ optimal number and locations to minimize overall costs while satisfying the service requirements. To this aim, several parameters and factors are considered, such as capacity, latency, costs and site restrictions. The proposed solutions are evaluated based on different metrics and the obtained results showcase over 20 % cost savings for the service infrastructure deployment. Moreover, the gap between the UPF placement heuristic and the optimal solution is equal to only one UPF in the worst cases, and a computation time reduction of over 35 % is achieved in all the use cases studied.

PROBABILISTIC SENSITIVITY ANALYSIS IN COST-EFFECTIVENESS

1999 ◽  
Vol 15 (3) ◽  
pp. 563-572 ◽  
Author(s):  
William Whang ◽  
Jane E. Sisk ◽  
Daniel F. Heitjan ◽  
Alan J. Moskowitz
Keyword(s):  
Sensitivity Analysis ◽  
Cost Effectiveness ◽  
Probabilistic Sensitivity Analysis ◽  
Probabilistic Methods ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
Worst Case ◽  
The Cost

Objectives: We explore the policy implications of probabilistic sensitivity analysis in cost-effectiveness analysis by applying simulation methods to a decision model.Methods: We present the multiway sensitivity analysis results of a study of the cost-effectiveness of vaccination against pneumococcal bacteremia in the elderly. We then execute a probabilistic sensitivity analysis of the cost-effectiveness ratio by specifying posterior distributions for the uncertain parameters in our decision analysis model. In order to estimate probability intervals, we rank the numerical values of the simulated incremental cost-effectiveness ratios (ICERs) to take into account preferences along the cost-effectiveness plane.Results: The 95% probability intervals for the ICER were generally much narrower than the difference between the best case and worst case results from a multiway sensitivity analysis. Although the multiway sensitivity analysis had indicated that, in the worst case, vaccination in the 85 and older age group was not acceptable from a policy standpoint, probabilistic methods indicated that the cost-effectiveness of vaccination was below $50,000 per quality-adjusted life-year in greater than 92% of the simulations and below $100,000 in greater than 95% of the simulations.Conclusions: Probabilistic methods can supplement multiway sensitivity analyses to provide a more comprehensive picture of the uncertainty associated with cost-effectiveness ratios and thereby inform policy decisions.

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