A Sensitivity Analysis of Two Worst-Case Delay Computation Methods for SpaceWire Networks

2012 ◽  
Author(s):  
Thomas Ferrandiz ◽  
Fabrice Frances ◽  
Christian Fraboul
Keyword(s):  
Sensitivity Analysis ◽  
Worst Case

scholarly journals Accelerated Aging Characterization of Lithium-ion Cells: Using Sensitivity Analysis to Identify the Stress Factors Relevant to Cyclic Aging

Batteries ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 6 ◽  
Author(s):  
Tanja Gewald ◽  
Adrian Candussio ◽  
Leo Wildfeuer ◽  
Dirk Lehmkuhl ◽  
Alexander Hahn ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Accelerated Aging ◽  
Lithium Ion ◽  
Simulation Models ◽  
Cell Types ◽  
Stress Factors ◽  
Worst Case ◽  
Lithium Ion Cells ◽  
Aging Models ◽  
Semi Empirical

As storage technology in electric vehicles, lithium-ion cells are subject to a continuous aging process during their service life that, in the worst case, can lead to a premature system failure. Battery manufacturers thus have an interest in the aging prediction during the early design phase, for which semi-empirical aging models are often used. The progress of aging is dependent on the application-specific load profile, more precisely on the aging-relevant stress factors. Still, a literature review reveals a controversy on the aging-relevant stress factors to use as input parameters for the simulation models. It shows that, at present, a systematic and efficient procedure for stress factor selection is missing, as the aging characteristic is cell-specific. In this study, an accelerated sensitivity analysis as a prior step to aging modeling is proposed, which is transferable and allows to determine the actual aging-relevant stress factors for a specific lithium-ion cell. For the assessment of this accelerated approach, two test series with different acceleration levels and cell types are performed and evaluated. The results show that a certain amount of charge throughput, 100 equivalent full cycles in this case, is necessary to conduct a statistically significant sensitivity analysis.

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.

The economic impact of open versus endoscope-assisted craniosynostosis surgery

2019 ◽  
Vol 24 (2) ◽  
pp. 145-152 ◽  
Author(s):  
Campbell Liles ◽  
Jonathan Dallas ◽  
Andrew T. Hale ◽  
Stephen Gannon ◽  
E. Haley Vance ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Open Repair ◽  
Hospital Costs ◽  
Emergency Department Visits ◽  
Third Party ◽  
Sagittal Suture ◽  
Worst Case ◽  
Producer Price ◽  
The Difference

OBJECTIVEOpen and endoscope-assisted repair are surgical options for sagittal craniosynostosis, with limited research evaluating each technique’s immediate and long-term costs. This study investigates the cost-effectiveness of open and endoscope-assisted repair for single, sagittal suture craniosynostosis.METHODSThe authors performed a retrospective cohort study of patients undergoing single, sagittal suture craniosynostosis repair (open in 17 cases, endoscope-assisted in 16) at less than 1 year of age at Monroe Carell Jr. Children’s Hospital at Vanderbilt (MCJCHV) between August 2015 and August 2017. Follow-up data were collected/analyzed for 1 year after discharge. Surgical and follow-up costs were derived by merging MCJCHV financial data with each patient’s electronic medical record (EMR) and were adjusted for inflation using the healthcare Producer Price Index. Proxy helmet costs were derived from third-party out-of-pocket helmet prices. To account for variable costs and probabilities, overall costs were calculated using TreeAge tree diagram software.RESULTSOpen repair occurred in older patients (mean age 5.69 vs 2.96 months, p < 0.001) and required more operating room time (median 203 vs 145 minutes, p < 0.001), more ICU days (median 3 vs 1 day, p < 0.001), more hospital days (median 4 vs 1 day, p < 0.001), and more frequently required transfusion (88% vs 6% of cases). Compared to patients who underwent open surgery, patients who underwent endoscopically assisted surgery more often required postoperative orthotic helmets (100% vs 6%), had a similar number of follow-up clinic visits (median 3 vs 3 visits, p = 0.487) and CT scans (median 3 vs 2 scans), and fewer emergency department visits (median 1 vs 3 visits). The TreeAge diagram showed that, overall, open repair was 73% more expensive than endoscope-assisted repair ($31,314.10 vs $18,081.47). Sensitivity analysis identified surgical/hospital costs for open repair (mean $30,475, SEM $547) versus endoscope-assisted repair (mean $13,746, SEM $833) (p < 0.001) as the most important determinants of overall cost. Two-way sensitivity analysis comparing initial surgical/hospital costs confirmed that open repair remains significantly more expensive under even worst-case initial repair scenarios ($3254.81 minimum difference). No major surgical complications or surgical revisions occurred in either cohort.CONCLUSIONSThe results of this study suggest that endoscope-assisted craniosynostosis repair is significantly more cost-effective than open repair, based on markedly lower costs and similar outcomes, and that the difference in initial surgical/hospital costs far outweighs the difference in subsequent costs associated with helmet therapy and outpatient management, although independent replication in a multicenter study is needed for confirmation due to practice and cost variation across institutions. Longer-term results will also be needed to examine whether cost differences are maintained.

Reconfiguration of Uniprocessor Sporadic Real-Time Systems

2011 ◽  
pp. 167-189 ◽  
Author(s):  
Laurent George ◽  
Pierre Courbin
Keyword(s):  
Sensitivity Analysis ◽  
Real Time ◽  
Performance Tuning ◽  
Real Time Systems ◽  
Software Faults ◽  
Worst Case ◽  
Task Model ◽  
Worst Case Execution Time ◽  
On Line ◽  
Time Systems

In this chapter the authors focus on the problem of reconfiguring embedded real-time systems. Such reconfiguration can be decided either off-line to determine if a given application can be run on a different platform, while preserving the timeliness constraints imposed by the application, or on-line, where a reconfiguration should be done to adapt the system to the context of execution or to handle hardware or software faults. The task model considered in this chapter is the classical sporadic task model defined by a Worst Case Execution Time (WCET), a minimum inter-arrival time (also denoted the minimum Period) and a late termination deadline. The authors consider two preemptive scheduling strategies: Fixed Priority highest priority first (FP) and Earliest Deadline First (EDF). They propose a sensitivity analysis to handle reconfiguration issues. Sensitivity analysis aims at determining acceptable deviations from the specifications of a problem due to evolutions in system characteristics (reconfiguration or performance tuning). They present a state of the art for sensitivity analysis in the case of WCETs, Periods and Deadlines reconfigurations and study to what extent sensitivity analysis can be used to decide on the possibility of reconfiguring a system.

Validation of the Tolerance Analysis of Compliant Assemblies

1999 ◽  
Author(s):  
Eric Sellem ◽  
Alain Rivière ◽  
Charles André De Hillerin ◽  
André Clement
Keyword(s):  
Sensitivity Analysis ◽  
Mechanical Model ◽  
Tolerance Analysis ◽  
Assembly Process ◽  
Worst Case ◽  
Key Characteristics ◽  
Statistical Tolerance ◽  
Compliant Parts ◽  
Complex Parts ◽  
Statistical Tolerance Analysis

Abstract Current statistical tolerance analysis of assemblies are generally based on Monte Carlo simulation or Worst Case. The available software tools using this technique model the assembly of rigid parts, by only considering the kinematic laws. Sellem (1998) proposed a linear mechanical model taking both deformation and assembly process into account in the computation of tolerance assemblies of compliant parts. This paper presents the validation of this method by a comparison with measurements performed on an actual assembly of four complex parts. Some improvements in the modeling of the assembly process are also presented and described a sensitivity analysis approach to identify the key characteristics of the assembly.

Application of discounted cash flow model valuation: The case of Excide industries

2021 ◽  
Vol 8 (4) ◽  
pp. 170-179
Author(s):  
Ashok Panigrahi ◽  
Kushal Vachhani ◽  
Mohit Sisodia
Keyword(s):  
Sensitivity Analysis ◽  
Cash Flow ◽  
Flow Model ◽  
Cost Of Capital ◽  
Weighted Average ◽  
The Other ◽  
Discounted Cash Flow ◽  
Worst Case ◽  
Share Prices ◽  
Valuation Technique

Theoretical and practical features of the widely used discounted cash flow (DCF) valuation approach are examined in depth in this paper. This research evaluates Exide Industries by using the DCF Valuation technique. It is widely accepted that the discounted cash flow approach is an effective tool for analyzing the situation of an organization even in the most complicated circumstances. The DCF approach, on the other hand, is prone to huge assumption bias, and even little modifications in an analysis' underlying assumptions may substantially affect the valuation findings. As a result, of the sensitivity analysis, we discovered bullish, base, and worst-case scenarios with target share prices of Rs. 253.25, Rs. 171.37, and Rs.133.25, respectively, by adjusting growth and WACC (Weighted-Average Cost of Capital) values.

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