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Search Publications by: Guodong Shao (Fed)

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Displaying 76 - 100 of 178

Analysis and Optimization based on Reusable Knowledge Base of Process Performance Models

April 29, 2016
Author(s)
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan Narayanan, Daniel Menasce?, Ronay Ak
In this paper, we propose an architectural design and software framework for fast development of descriptive, diagnostic, predictive, and prescriptive analytics solutions for dynamic production processes. The proposed architecture and framework will

Analysis and Optimization based on Reusable Knowledge Base of Process Performance Models

December 22, 2015
Author(s)
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan Narayanan, Daniel Menasc?, Ronay Ak
In this paper, we propose an architectural design and software framework for fast development of descriptive, diagnostic, predictive, and prescriptive analytics solutions for dynamic production processes. The proposed architecture and framework will

Analysis and Optimization in Smart Manufacturing based on a Reusable Knowledge Base for Process Performance Models

November 1, 2015
Author(s)
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan Narayanan, Daniel Menasce?, Ronay Ak
In this paper, we propose an architectural design and software framework for fast development of descriptive, predictive, diagnostic, and prescriptive analytics solutions for dynamic production processes. The proposed architecture and framework are based

DATA ANALYTICS USING SIMULATION FOR SMART MANUFACTURING

December 11, 2014
Author(s)
Guodong Shao, Sanjay Jain, Seungjun Shin
Manufacturing organizations are able to accumulate large amounts of plant floor production and environmental data due to advances in data collection, communications technology, and use of standards. The challenge has shifted from collecting a sufficient

VIRTUAL FACTORY REVISITED FOR MANUFACTURING DATA ANALYTICS

December 11, 2014
Author(s)
Sanjay Jain, Guodong Shao
Development of a data analytics application for manufacturing is best when tested with large sets of data. It is usually difficult for application developers to find access to real manufacturing data streams for testing new data analytics applications

Toward Smart Manufacturing Using Decision Guidance Analytics

November 1, 2014
Author(s)
Alexander Brodsky, Mohan Krishnamoorthy, Daniel A. Menasce, Guodong Shao, Sudarsan Rachuri
This paper is focused on decision analytics for smart manufacturing. We consider temporal manufacturing processes with stochastic throughput and inventories. We demonstrate the use of the recently proposed concept of the decision guidance analytics