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Design and Analysis of Robust Kanban System in an Uncertain Environment

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Book Series: Wissenschaftliche Berichte des Institutes für Fördertechnik und Logistiksysteme des Karlsruher Instituts für Technologie ISSN: 01712772 ISBN: 9783731501176 Year: Volume: 81 Pages: IX, 255 p. DOI: 10.5445/KSP/1000036766 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-30 20:01:58
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Kanban is a representative control policy pursuing cost-efficient features for the material flow system. However, the Kanban mechanism increases the system vulnerability especially when the environment is uncertain. Therefore, we proposed a robust Kanban system model for the supply chain system based on the Kanban mechanism. The model can use robust approaches from strategic, tactical, and operational levels to deal with the risks in an uncertain environment.

Control Theory Tutorial: Basic Concepts Illustrated by Software Examples

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Book Series: SpringerBriefs in Applied Sciences and Technology ISSN: 2191-530X ISBN: 9783319917061 9783319917078 Year: Pages: 111 DOI: https://doi.org/10.1007/978-3-319-91707-8 Language: English
Publisher: Springer Grant: US National Science Foundation (NSF); Donald Bren Foundation; University of California
Subject: Computer Science
Added to DOAB on : 2018-06-22 16:13:03
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This open access Brief introduces the basic principles of control theory in a concise self-study guide. It complements the classic texts by emphasizing the simple conceptual unity of the subject. A novice can quickly see how and why the different parts fit together. The concepts build slowly and naturally one after another, until the reader soon has a view of the whole. Each concept is illustrated by detailed examples and graphics. The full software code for each example is available, providing the basis for experimenting with various assumptions, learning how to write programs for control analysis, and setting the stage for future research projects. The topics focus on robustness, design trade-offs, and optimality. Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control. New students, as well as scientists from other backgrounds who want a concise and easy-to-grasp coverage of control theory, will benefit from the emphasis on concepts and broad understanding of the various approaches.

Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation

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Book Series: Karlsruher Schriftenreihe Fahrzeugsystemtechnik / Institut für Fahrzeugsystemtechnik ISSN: 18696058 ISBN: 9783731508076 Year: Volume: 62 Pages: XXIV, 196 p. DOI: 10.5445/KSP/1000083492 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Technology (General)
Added to DOAB on : 2019-07-28 18:37:01
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This work provides novel robust and regularized algorithms for parameter estimation with applications in vehicle tractive force prediction and mass estimation. Given a large record of real world data from test runs on public roads, recursive algorithms adjusted the unknown vehicle parameters under a broad variation of statistical assumptions for two linear gray-box models.

Econometrics and Income Inequality

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ISBN: 9783038973669 9783038973676 Year: Pages: 322 DOI: 10.3390/books978-3-03897-367-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Business and Management
Added to DOAB on : 2018-11-26 12:04:46
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This Special Issue is devoted to the econometric analysis of income inequality and income distributions. Given the recent surge of inequality research, this Special Issue seeks to combine both theoretical and applied contributions which advance the econometric analysis of income inequality and income distributions. Possible topics include, but are not limited to, statistical inference for inequality measurement, inequality measurement with complex survey data, parametric or nonparametric modeling of income distributions, statistical decomposition methodology, methods to investigate the determinants of distributional change, causal inference in inequality measurement, and applications of such methods to substantive research questions in different fields of economics.

Proactive-reactive, robust scheduling and capacity planning of deconstruction projects under uncertainty

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Book Series: Produktion und Energie / Karlsruher Institut für Technologie, Institut für Industriebetriebslehre und industrielle Produktion u. Deutsch-Französisches Institut für Umweltforschung ISSN: 21942404 ISBN: 9783731505921 Year: Volume: 20 Pages: XXXI, 475 p. DOI: 10.5445/KSP/1000060265 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-30 20:01:59
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A project planning and decision support model is developed and applied to identify and reduce risk and uncertainty in deconstruction project planning. It allows calculating building inventories based on sensor information and construction standards and it computes robust project plans for different scenarios with multiple modes, constrained renewable resources and locations. A reactive and flexible planning element is proposed in the case of schedule infeasibility during project execution.

New Developments in Statistical Information Theory Based on Entropy and Divergence Measures

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ISBN: 9783038979364 / 9783038979371 Year: Pages: 344 DOI: 10.3390/books978-3-03897-937-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology --- Statistics
Added to DOAB on : 2019-06-26 08:44:06
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This book presents new and original research in Statistical Information Theory, based on minimum divergence estimators and test statistics, from a theoretical and applied point of view, for different statistical problems with special emphasis on efficiency and robustness. Divergence statistics, based on maximum likelihood estimators, as well as Wald’s statistics, likelihood ratio statistics and Rao’s score statistics, share several optimum asymptotic properties, but are highly non-robust in cases of model misspecification under the presence of outlying observations. It is well-known that a small deviation from the underlying assumptions on the model can have drastic effect on the performance of these classical tests. Specifically, this book presents a robust version of the classical Wald statistical test, for testing simple and composite null hypotheses for general parametric models, based on minimum divergence estimators.

Keywords

sparse --- robust --- divergence --- MM algorithm --- Bregman divergence --- generalized linear model --- local-polynomial regression --- model check --- nonparametric test --- quasi-likelihood --- semiparametric model --- Wald statistic --- composite likelihood --- maximum composite likelihood estimator --- Wald test statistic --- composite minimum density power divergence estimator --- Wald-type test statistics --- Bregman divergence --- general linear model --- hypothesis testing --- influence function --- robust --- Wald-type test --- log-linear models --- ordinal classification variables --- association models --- correlation models --- minimum penalized ?-divergence estimator --- consistency --- asymptotic normality --- goodness-of-fit --- bootstrap distribution estimator --- thematic quality assessment --- relative entropy --- logarithmic super divergence --- robustness --- minimum divergence inference --- generalized renyi entropy --- minimum divergence methods --- robustness --- single index model --- model assessment --- statistical distance --- non-quadratic distance --- total variation --- mixture index of fit --- Kullback-Leibler distance --- divergence measure --- ?-divergence --- relative error estimation --- robust estimation --- information geometry --- centroid --- Bregman information --- Hölder divergence --- indoor localization --- robustness --- efficiency --- Bayesian nonparametric --- Bayesian semi-parametric --- asymptotic property --- minimum disparity methods --- Hellinger distance --- Berstein von Mises theorem --- measurement errors --- robust testing --- two-sample test --- misspecified hypothesis and alternative --- 2-alternating capacities --- composite hypotheses --- corrupted data --- least-favorable hypotheses --- Neyman Pearson test --- divergence based testing --- Chernoff Stein lemma --- compressed data --- Hellinger distance --- representation formula --- iterated limits --- influence function --- consistency --- asymptotic normality --- location-scale family --- n/a

Empirical Finance

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ISBN: 9783038977063 Year: Pages: 276 DOI: 10.3390/books978-3-03897-707-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-04-05 10:34:31
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There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.

Keywords

text similarity --- text mining --- machine learning --- SVM --- neural network --- LSTM --- credit risk --- ensemble learning --- deep learning --- bagging --- random forest --- boosting --- deep neural network --- causality-in-variance --- cross-correlation function --- housing and stock markets --- algorithmic trading --- take profit --- stop loss --- MACD --- ATR --- city banks --- dependence structure --- copula --- n/a --- market microstructure --- price discovery --- latency --- currency crisis --- random forests --- wavelet transform --- predictive accuracy --- housing price --- bank credit --- housing loans --- real estate development loans --- TVP-VAR model --- exchange rate --- volatility --- exports --- ARDL --- Vietnam --- crude oil futures prices forecasting --- convolutional neural networks --- short-term forecasting --- utility of international currency --- inertia --- liquidity risk premium --- US dollar --- Japanese yen --- cointegration --- statistical arbitrage --- natural gas --- wholesale electricity --- futures market --- spark spread --- earnings management --- earnings manipulation --- earnings quality --- initial public offering --- IPO --- asset pricing model --- data mining --- bankruptcy prediction --- financial and non-financial variables --- institutional investors’ shareholdings --- panel data model --- piecewise regression model --- global financial crisis --- gold return --- asymmetric dependence --- financial market stress --- robust regression --- quantile regression --- structural break --- flight to quality

Ten Years of TerraSAR-X—Scientific Results

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ISBN: 9783038977247 9783038977254 Year: Pages: 422 DOI: 10.3390/books978-3-03897-725-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-04-25 16:37:17
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This Special Issue is a collection of papers addressing the scientific use of data acquired in the course of the TerraSAR-X mission 10 years after launch. The articles deal with the mission itself, the accuracy of the products, with differential interferometry, and with applications in the domains cryosphere, oceans, wetlands, and urban areas.

Keywords

synthetic aperture radar --- TerraSAR-X --- geolocation --- absolute localization accuracy --- stereo sar --- imaging geodesy --- TerraSAR-X --- internal calibration --- geometric and radiometric calibration --- antenna model verification --- antenna pointing determination --- radiometric accuracy --- calibration targets --- long term performance monitoring --- TerraSAR-X --- TanDEM-X --- LEO --- POD --- SLR --- SAR --- Satellite Laser Ranging --- radar ranging --- satellite orbit --- validation --- InSAR coherence --- NDVI --- damage assessment --- density map --- tsunami --- earthquake --- GIS --- TSX Staring spotlight --- high resolution InSAR --- small-scale movements --- atmospheric phase --- layover --- DSM blending --- SAR --- internal waves --- Andaman Sea --- radar --- satellite --- remote sensing --- SAR --- TerraSAR-X --- operations --- ground segment --- orbit --- mission --- global --- urban footprint --- processing --- validation --- community survey --- sustainability --- synthetic aperture radar --- X-band --- marine --- estuarine --- lacustrine --- riverine --- palustrine --- time-series --- SAR applications --- vegetation --- remote sensing data --- DInSAR --- landslide monitoring --- PSI --- super high-spatial resolution TerraSAR-X images --- pixel selection --- measurement pixels’ density --- synthetic aperture radar --- PolSAR --- TerraSAR-X --- surface water monitoring --- flooded vegetation --- classification --- segmentation --- InSAR --- landslide --- phase unwrapping --- phase demodulation --- TerraSAR-X --- RADARSAT-2 --- ALOS-1 --- ERS --- synthetic aperture radar --- TerraSAR-X --- habitat mapping --- monitoring --- remote sensing --- Wadden Sea --- mussel beds --- intertidal bedforms --- tidal gullies --- remote sensing --- film slicks on the sea surface --- dual co-polarized microwave radar --- surface wind waves --- wave breaking --- Snow Cover Extent (SCE) --- TerraSAR-X --- Landsat --- wet snow --- small Arctic catchments --- satellite time series --- TerraSAR-X --- synthetic aperture radar (SAR), radar mission --- remote sensing --- land subsidence --- TerraSAR-X --- SAR interferometry --- coastal environments --- Venice lagoon --- multi-baseline --- multi-pass --- PS --- DS --- geodetic --- TomoSAR --- D-TomoSAR --- PSI --- robust estimation --- covariance matrix --- InSAR --- SAR --- review --- SAR --- SAR interferometry --- atmospheric propagation delay --- persistent scatterer interferometry --- numerical weather prediction --- stratified atmospheric delay --- zenith path delay --- slant path delay --- interferometry --- surface movement monitoring --- ground control points --- radargrammetry --- automated target recognition --- convolutional neural networks (CNN), deep CNN --- support vector machine --- SVM --- synthetic aperture radar --- TerraSAR-X --- SAR interferometry --- land subsidence --- precise orbit determination --- geometric and radiometric calibration --- PSI

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