The Ten Commandments for Translating Simulation Results Into Real-life Performance

2008 ◽  
Vol 40 (1) ◽  
pp. 98-109 ◽  
Author(s):  
Ivo Wenzler
Keyword(s):  
Performance Improvement ◽  
Real Life ◽  
Expected Value ◽  
Actual Performance ◽  
Ten Commandments ◽  
Simulation Results

Simulation designers are continuously facing the challenge of determining how much of the expected value the simulation has delivered to the client. Addressing this challenge is not easy, and it requires simulation designers to stretch their comfort zones. This article presents a ten-step approach for meeting simulation objectives and translating simulation results into actual performance improvement. Each of these ten commandments is explained and illustrated by using real-life simulation projects.

Frequency of enforcement is more important than the severity of punishment in reducing violation behaviors

2021 ◽  
Vol 118 (42) ◽  
pp. e2108507118
Author(s):  
Kinneret Teodorescu ◽  
Ori Plonsky ◽  
Shahar Ayal ◽  
Rachel Barkan
Keyword(s):  
High Probability ◽  
Real Life ◽  
Expected Value ◽  
Relative Importance ◽  
Decisions From Experience ◽  
High Severity ◽  
Low Probability ◽  
Violation Rate ◽  
Severity Of Punishment ◽  
Enforcement Policies

External enforcement policies aimed to reduce violations differ on two key components: the probability of inspection and the severity of the punishment. Different lines of research offer different insights regarding the relative importance of each component. In four studies, students and Prolific crowdsourcing participants (Ntotal = 816) repeatedly faced temptations to commit violations under two enforcement policies. Controlling for expected value, we found that a policy combining a high probability of inspection with a low severity of fines (HILS) was more effective than an economically equivalent policy that combined a low probability of inspection with a high severity of fines (LIHS). The advantage of prioritizing inspection frequency over punishment severity (HILS over LIHS) was greater for participants who, in the absence of enforcement, started out with a higher violation rate. Consistent with studies of decisions from experience, frequent enforcement with small fines was more effective than rare severe fines even when we announced the severity of the fine in advance to boost deterrence. In addition, in line with the phenomenon of underweighting of rare events, the effect was stronger when the probability of inspection was rarer (as in most real-life inspection probabilities) and was eliminated under moderate inspection probabilities. We thus recommend that policymakers looking to effectively reduce recurring violations among noncriminal populations should consider increasing inspection rates rather than punishment severity.

scholarly journals Sustainability-oriented cross-functional collaboration to manage trade-offs and interdependencies

2018 ◽  
Vol 54 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Andrea Szalavetz
Keyword(s):  
Performance Improvement ◽  
Environmental Sustainability ◽  
Environmental Performance ◽  
Behavioral Outcomes ◽  
Real Life ◽  
Corporate Environmental Performance ◽  
Lack Of Information ◽  
Trade Offs ◽  
Corporate Environmental Sustainability

Abstract Despite a consensus view in the literature about the importance of cross-functional collaboration (CFC) for corporate environmental performance improvement, there is a dearth of studies that explain how exactly sustainability-oriented CFC can foster this objective. The purpose of this paper is to explain the role of CFC in corporate environmental performance improvement. We do this by undertaking two rounds of literature review, developing a proposition after the first round and by collecting illuminative real-life examples that illustrate our arguments in the second round. We propose and illustrate that CFC can effectively address two systemic properties of corporate environmental performance: trade-offs and interdependencies among different aspects of corporate environmental sustainability. If left unaddressed, these systemic specifics would result in organizational, managerial, and behavioral outcomes, such as inertia, opposition to change, lack of information, and so on, which would turn into effective barriers to corporate environmental performance improvement. put CFC addresses these barriers through information sharing, knowledge building, and interest reconciliation.

scholarly journals Performance Improvement of Sensorless Vector Controlled Induction Motor Drive for Medium Power Applications

2019 ◽  
Vol 9 (2) ◽  
pp. 2061-2068
Keyword(s):  
Induction Motor ◽  
Performance Improvement ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Space Vector ◽  
Torque Pulsations ◽  
Multi Level ◽  
Simulation Results

This paper deals with sensorless vector controlled induction motor in which torque pulsations are reduced with improved input of induction motor. In proposed technique two multi winding transformers are used for generation of 18 sinusoidal signals given to rectifier unit and the rectifier output given as input to 9 level multi level inverter. In this proposed technique gating signals to the inverter switches will be provided through space vector pulse width modulation which considers speed as reference. This configuration was simulated in MATLAB/Simulink.and the simulation results are presented here with improvement in reduction of THD.

scholarly journals Short Transient Parameter-Varying IIR Filter Based on Analog Oscillatory System

2019 ◽  
Vol 9 (10) ◽  
pp. 2013 ◽  
Author(s):  
Piotr Okoniewski ◽  
Jacek Piskorowski
Keyword(s):  
Transient Response ◽  
Real Life ◽  
Digital Filtering ◽  
Oscillatory System ◽  
Optimization Method ◽  
Infinite Impulse Response ◽  
Iir Filter ◽  
Dynamical Properties ◽  
Simulation Results ◽  
Discretization Process

This paper presents a concept for digital infinite impulse response (IIR) lowpass filter with reduced transient response. The proposed digital filtering structure is based on an analog oscillatory system. In order to design the considered digital filter, the analog prototype is subjected to a discretization process and, then, the parameters describing the dynamical properties of the oscillatory system are temporarily varied in time, so as to suppress the transient response of the designed filter. An optimization method, aimed at reducing the settling time by proper parameter manipulation, is presented. Simulation results, along with a real-life application proving the usefulness of the proposed concept, are also shown and discussed.

scholarly journals Modified One-Parameter Liu Estimator for the Linear Regression Model

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Adewale F. Lukman ◽  
B. M. Golam Kibria ◽  
Kayode Ayinde ◽  
Segun L. Jegede
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Ridge Regression ◽  
Real Life ◽  
Liu Estimator ◽  
Real Life Data ◽  
Squared Prediction Error ◽  
Simulation Results ◽  
Better Than

Motivated by the ridge regression (Hoerl and Kennard, 1970) and Liu (1993) estimators, this paper proposes a modified Liu estimator to solve the multicollinearity problem for the linear regression model. This modification places this estimator in the class of the ridge and Liu estimators with a single biasing parameter. Theoretical comparisons, real-life application, and simulation results show that it consistently dominates the usual Liu estimator. Under some conditions, it performs better than the ridge regression estimators in the smaller MSE sense. Two real-life data are analyzed to illustrate the findings of the paper and the performances of the estimators assessed by MSE and the mean squared prediction error. The application result agrees with the theoretical and simulation results.

scholarly journals Semi-Steady-State Jaya Algorithm for Optimization

2020 ◽  
Vol 10 (15) ◽  
pp. 5388
Author(s):  
Uday K. Chakraborty
Keyword(s):  
Steady State ◽  
Evolutionary Computation ◽  
Performance Improvement ◽  
Real World ◽  
Statistical Tests ◽  
Test Suite ◽  
Jaya Algorithm ◽  
Real World Problem ◽  
Simulation Results ◽  
Population Simulation

The Jaya algorithm is arguably one of the fastest-emerging metaheuristics amongst the newest members of the evolutionary computation family. The present paper proposes a new, improved Jaya algorithm by modifying the update strategies of the best and the worst members in the population. Simulation results on a twelve-function benchmark test-suite and a real-world problem show that the proposed strategy produces results that are better and faster in the majority of cases. Statistical tests of significance are used to validate the performance improvement.

Structural Integrity of Hydrogen Storage Tanks at Pre-Stressing and Operating Pressures

2005 ◽  
Author(s):  
J. L. Parham ◽  
Y. B. Guo ◽  
W. H. Sutton
Keyword(s):  
Hydrogen Storage ◽  
Stress Level ◽  
Structural Integrity ◽  
Real Life ◽  
Peak Stress ◽  
Operating Pressure ◽  
Middle Section ◽  
Element Analysis ◽  
Residual Strains ◽  
Simulation Results

With the fuel prices reaching record highs and ever-increasing tighter environmental policies, hydrogen-powered vehicles have great potential to substantially increase overall fuel economy, reduce vehicle emissions, and decrease dependence on foreign oil imports. While hydrogen fuel is exciting for automotive industries due to its potentials of significant technical and economic advantages, design and manufacture safe and reliable hydrogen tanks is recognized as the number one priority in hydrogen technology development and deployment. Real life testing of tank performance is extremely useful, but very time consuming, expensive, and lacks a rigorous scientific basis, which prohibits the development of a more reliable hydrogen tank. However, very few testing and simulation results can be found in public literature. This paper focused on the development of an efficient finite element analysis (FEA) tool to provide a more economical alternative for hydrogen tank analysis, though it may not be an all-out replacement for physical testing. A FEA model has been developed for the hydrogen tank with 6061-T6 aluminum liner and carbon-fiber/epoxy shell to investigate the tank integrity at pre-stresses of 45.5 MPa, 70 MPa, and 105 MPa and operating pressures of 35 MPa, 70 MPa, and 105 MPa. The residual stresses induced by different pre-stresses are at the equivalent level in the middle section but vary significantly in other tank sections. Residual stress magnitudes may saturate at a certain pre-stress level. In contrast, the residual strains in the middle section increases with pre-stress. The simulation results indicate that the optimal pre-stress level depends on the specific operating pressure to enhance tank integrity. A certain area of the neck and the top and bottom domes also experiences peak stress and strain at pre-stressing and regular operating pressures. The research findings may help manufacturing industries to build safety into manufacturing practices of hydrogen storage infrastructures.

Efficient LLR Optimization Based on GMI for LDPC Coded BICM Systems

2014 ◽  
Vol 519-520 ◽  
pp. 1016-1020
Author(s):  
Ping Huang ◽  
Yue Heng Li ◽  
Mei Yan Ju
Keyword(s):  
Mutual Information ◽  
Performance Improvement ◽  
Ldpc Codes ◽  
Optimization Method ◽  
Reliable Information ◽  
Channel Changes ◽  
The Real ◽  
On Line ◽  
Simulation Results ◽  
Output Information

In this paper, A new on-line LLR optimization method based on the generalized mutual information (GMI) maximization is proposed for LDPC coded BICM systems. As the BP decoder is sensitive to imperfect soft demodulator output information, it is necessary to correct the LLRs to provide the reliable information for BP decoder. The proposed method searched the scalar factors to maximize the GMI for each bit channel, and applied them to the demodulator output LLRs. Different from the previous reference, the proposed found the factors by on-line computation with minor complexity. This characteristic makes it is more effective in the real systems where the channel changes rapidly. Numerical and simulation results verify that the proposed method achieves noticeable performance improvement for MIMO-BICM systems with LDPC codes.

AVALANCHE DYNAMICS OF THE FINANCIAL MARKET

2005 ◽  
Vol 01 (02) ◽  
pp. 275-283 ◽  
Author(s):  
PEI-LING ZHOU ◽  
CHUN-XIA YANG ◽  
TAO ZHOU ◽  
MIN XU ◽  
JUN LIU ◽  
...  
Keyword(s):  
Stock Market ◽  
Interaction Parameter ◽  
Financial Market ◽  
Real Life ◽  
Percolation Model ◽  
Dynamics Simulation ◽  
Herd Behavior ◽  
The Real ◽  
Avalanche Dynamics ◽  
Simulation Results

A parsimonious percolation model for stock market is proposed, of which the avalanche dynamics agree with the real-life one as well. We have also investigated how the interaction parameter p affects the price dynamics. Simulation results about the formation of the bullish/bearish market and corresponding avalanche taking place in the market indicate that the magnified "herd behavior" resulting from the evolution of p may be the origin of the observed avalanche phenomena.

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