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STREAMING DATA IN QUALITY & RELIABILITY

QSR 20th Anniversary Celebration Workshop (Keynote Presentation)

Presented November 3, 2018 at the QSR 20th Anniversary Workshop, 2018 INFORMS Annual Meeting in Phoenix

Evolution of Data Fusion for Quality Improvement

Dr. Jan Shi

A Saga of CMEs

Dr. Jeff Wu

Reliability Modeling, Prediction, Testing and Challenges in New Frontiers

Dr. E.A. Elsayed

Published Online: October 10, 2019



QSR 20th Anniversary Celebration Workshop (Panel Discussions)

Presented November 3, 2018 at the QSR 20th Anniversary Workshop, 2018 INFORMS Annual Meeting in Phoenix

Panel Discussion I

Bianca Colosimo, Judy Jin, Kwok Tsui, Daniel Apley
Moderator: Irad Ben-Gal

Panel Discussion II

Susan Albin, Fugee Tsung, Russell Barton, Soundar Kumara
Moderator: Satish Bukkapatnam

Published Online: October 10, 2019

Wind Turbine Reliability and Performance Assessment, and the Data Science Relevance

Yu Ding

Published Online:October 3, 2018
INFORMS YouTube

Condition-Based Production Planning: Adjusting Production Rates to Balance Output and Failure Risk

Published Online:

M&SOM

    Abstract
    Problem Definition: Many production systems deteriorate over time as a result of load and stress caused by production. The deterioration rate of these systems typically depends on the production rate, implying that the equipment’s deterioration rate can ...
Change Detection and Prognostics for Transient Real-World Processes Using Streaming Data

Published Online:

INFORMS TutORials in Operations Research

    Abstract
    Recent advances in sensor arrays and imaging systems have spurred interest in analyzing high-dimensional, streaming time series data from real-world complex systems. These time series data capture the dynamic behaviors and causalities of the underlying ...
An Integrative Quality Framework for Developing Industrial Smart Services

Published Online:

Service Science

    Abstract
    Using data collected through the Internet of Things offers new opportunities for manufacturing companies to innovate and differentiate their increasingly significant service businesses. Developing these industrial smart services is a new and complex task ...
A Cluster-Based Context-Tree Model for Multivariate Data Streams with Applications to Anomaly Detection

Published Online:

INFORMS Journal on Computing

    Abstract
    Many applications, such as telecommunication and commercial video broadcasting systems, computer and networks, and Web mining, require modeling data streams that exhibit context dependency. Context dependency refers to the fact that the statistical ...
Group Maintenance: A Restless Bandits Approach

Published Online:

INFORMS Journal on Computing

    Abstract
    We consider a maintenance planner problem to dynamically allocate the available repairmen to a system of unreliable production facilities. Each facility has several machines that incur a linear production loss due to stochastic degradation, which we model ...
Quality at the Source or at the End? Managing Supplier Quality Under Information Asymmetry

Published Online:

M&SOM

    Abstract
    Despite the many benefits of outsourcing, firms are still concerned about the lack of critical information regarding both the risk levels and actions of their suppliers, who are usually just a few links away. Usually, companies manage supply chain risks ...
Service Competition and Product Quality in the U.S. Automobile Industry

Published Online:

Management Science

    Abstract
    We study the impact of service attributes (warranty length, after-sales service quality) on consumer demand in the U.S. automobile industry, examining the presence of complementarities/substitution between service attributes and product quality. Our ...
Quality control and improvement for multistage systems: A survey

Jianjun Shi & Shiyu Zhou

Published Online: June 30, 2009
IIE Transactions
Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments

Peter Z.G. Qian & C.F. Jeff Wu

Published Online: January 1, 2012
Technometrics

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