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3. Sampling Plans for Batch and Sequential Inspection

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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4. Reliability Analysis

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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5. Classical Design and Analysis of Experiments

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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6. Multivariate Statistical Process Control

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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7. Basic Tools and Principles of Process Control

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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8. Quality by Design

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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9. Cybermanufacturing and Digital Twins

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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10. Advanced Methods of Statistical Process Control

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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11. Computer Experiments

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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12. The Role of Statistical Methods in Modern Industry

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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13. Bayesian Reliability Estimation and Prediction

Author

Kenett, Ron S., Zacks, Shelemyahu, Gedeck, Peter, Steinberg, David, Series Editor, Joseph, V. Roshan, Editorial Board Member, Kenett, Ron, Editorial Board Member, Anderson-Cook, Christine, Editorial Board Member, Jones, Bradley, Editorial Board Member, Tsung, Fugee, Editorial Board Member, Kenett, Ron S., Zacks, Shelemyahu, and Gedeck, Peter

Published
2023
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14. Clinical evaluation and determinants of response to HBI0101 (BCMA CART) therapy in relapsed/refractory multiple myeloma

Author

Kfir-Erenfeld, Shlomit, Asherie, Nathalie, Lebel, Eyal, Vainstein, Vladimir, Assayag, Miri, Dubnikov Sharon, Tatyana, Grisariu, Sigal, Avni, Batia, Elias, Shlomo, Alexander-Shani, Rivka, Bessig, Nomi, Shehadeh, Alaa, Ishtay, Aseel, Zelmanovich, Veronica, Zimran, Eran, Pick, Marjorie, Roziner, Ilan, Kenett, Ron S., Cohen, Yael, Avivi, Irit, Cohen, Cyrille J., Gatt, Moshe E., and Stepensky, Polina

Published
2024
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22. Big Data, Analytics and Education: Challenges, Opportunities and an Example from a Large University Unit

Author

Kenett, Ron S., Prodromou, Theodosia, Jacobson, Prof. Stephen L., Series Editor, Miller, Paul W., Series Editor, Gunter, Prof. Helen, Editorial Board Member, Huber, Prof. Stephan, Editorial Board Member, Jansen, Prof. Jonathan, Editorial Board Member, Seashore Louis, Prof. Karen, Editorial Board Member, Skedsmo, Dr. Guri, Editorial Board Member, Walker, Prof. Allan, Editorial Board Member, and Prodromou, Theodosia, editor

Published
2021
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30. Development of an Operational Digital Twin of a Freight Car Braking System for Fault Diagnosis.

Author

Davidyan, Gabriel, Bortman, Jacob, and Kenett, Ron S.

Subjects
BRAKE systems, DIGITAL twins, FREIGHT cars, FAULT diagnosis, DIGITAL technology, FREIGHT car models
Abstract

In the evolving landscape of digital technology, the concept of digital twinning has emerged as one of the most important innovations. Digital twinning, characterized by a one‐to‐one correlation with physical structures in a digital environment, has become an important tool in transferring physical dynamics into digital replicas. This platform, integrating advanced sensor technologies and analytical tools, enables a comprehensive monitoring, diagnosis, and optimization concept. The present research focuses on the application of digital twinning in addressing the complex challenge of managing fault types in freight car brakes. A Digital Twin (DT) model of a freight car braking system is developed that forms the basis for an innovative approach to fault classification. This approach leverages the ability of the DT to emulate and analyze the behavior of the braking system under different conditions. The effectiveness of the proposed method is evaluated through extensive testing and analysis with an experimental data set. The results show that the method is able to accurately diagnose different types of faults. This represents a significant advance in the field of freight car brake system diagnosis. [ABSTRACT FROM AUTHOR]

Published
2024
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33. REGIONAL DEVELOPMENT IN THE ERA OF INDUSTRY 4.0

Author

Adres Eithan, Fortuna Gilead, Kenett Ron S., Zonnenshain Avigdor

Subjects
fourth industrial revolution, industrial maturity, innovation and productivity, regional development, strategic program, Personnel management. Employment management, HF5549-5549.5
Abstract

Regional development is a complex challenge for policymakers in government, business, and industrial leadership. The Fourth Industrial Revolution, labeled Industry 4.0, has created integrated opportunities for a circular economy involving actors from different society strata. This paper presents an integrated approach that combines conventional strategic planning methods with tools adapted to the Fourth Industrial Revolution. The regional development methods discussed here are demonstrated with a real‐life case study from a major regional development project initiated by policymakers. The integrated approach presented here lists opportunities and challenges in regional development applications with interest to both researchers and policy makers. The case study is from the North of Israel, which also is called the Galilee. The Galilee is considered a geographical and social peripheral region in Israel, and, as such, it creates significant complexities and challenges for regional development policymakers. As a peripheral region, the Galilee suffers from major weaknesses such as low income, low productivity, poor services, and negative migration, especially of young populations. The paper presents the theoretical foundation of an integrated approach which includes an assessment using the Industrial Maturity for Advanced Manufacturing (IMAM) tool developed at the Samuel Neaman Institute, Technion, Israel. The IMAM scale assesses the maturity and ability of industrial companies to adapt and implement innovative and advanced manufacturing technologies and processes. We suggest that an integrated approach combining a strategic plan and an IMAM assessment can be replicated in other industrial zones.

Published
2020
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35. An analytic journey in an industrial classification problem: How to use models to sharpen your questions.

Author

Kenett, Ron S., Gotwalt, Chris, and Poggi, Jean‐Michel

Subjects
*RANDOM forest algorithms, *ELECTRONIC systems, *PARSIMONIOUS models, *TEST systems, *DATA analysis
Abstract

The mathematician and bio‐scientist Sam Karlin is quoted stating that "The purpose of models is not to fit the data but to sharpen the question". In this paper, we describe a journey between questions, models and data analysis to reach specific goals. This journey is typical in industrial, engineering, biology and social science applications. It contrasts regulated clinical research where a statistical analysis plan is declared before data collection. We consider random forests, ridge regression, lasso and elastic nets. To make our point, we use a case study of 63 sensors collected in the testing of an electronic system. The paper lists a sequence of questions and how they were tackled by statistical analysis to meet the analysis goal. Eventually, we were able to provide a robust parsimonious and effective model for predicting the system condition using a subset of the 63 sensors. In handling this problem, we develop and apply several innovative methods and insights that can prove useful in other contexts. [ABSTRACT FROM AUTHOR]

Published
2024
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46. Data Driven Testing of Open Source Software

Author

Yahav, Inbal, Kenett, Ron S., Bai, Xiaoying, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, and Margaria, Tiziana, editor

Published
2014
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