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Search Publications by: Guodong Shao (Fed)

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Displaying 26 - 50 of 90

ENABLING CONTROL SYSTEM AND CLOUD-BASED SIMULATION SERVICE INTEROPERABILITY

December 12, 2018
Author(s)
Albert W. Jones, Guodong Shao, Frank H. Riddick
The latest innovations in Information and Communication Technologies (ICT) will change manufacturing and simulation forever. Ideas such as Industry 4.0, Internet of Things, and Industrial Internet are dictating those changes. One of those changes involves

Standards-based integration of advanced process control and optimization

October 28, 2018
Author(s)
Guodong Shao, Hasan Latif, Carla Martin, Peter O. Denno
Integration of process control with optimization is critical to Smart Manufacturing (SM). Oftentimes, however, the process control solutions from one vendor do not interoperate with the optimization solutions of another. Incompatibilities among the

Implementations of the Tennessee Eastman Process in Modelica

February 22, 2018
Author(s)
Carla Martin-Villalba, Alfonso Urquia, Guodong Shao
The Tennessee Eastman process is a typical industrial process that consists of five main process units: a two-phase reactor where an exothermic reaction occurs, a separator, a stripper, a compressor, and a mixer. This is a nonlinear open-loop unstable

A Brief Introduction to the Winter Simulation Conference

September 1, 2017
Author(s)
Andreas Tolk, John Fowler, Guodong Shao, Enver Yucesan
In December of 2017, the Winter Simulation Conference (WSC) celebrates its 50th anniversary. Among the special events planned to commemorate this milestone will be a track highlighting the history and fundamental contributions these conferences have made

MANUFACTURING DATA ANALYTICS USING A VIRTUAL FACTORY REPRESENTATION

July 6, 2017
Author(s)
Sanjay Jain, Guodong Shao, 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. Data analytics can help understand and gain insights from

STANDARDS SUPPORTING SIMULATIONS OF SMART MANUFACTURING SYSTEMS

December 12, 2016
Author(s)
Conrad Bock, Guodong Shao, Kevin W. Lyons, Ronay Ak, KC Morris, Bjoern J. Johansson
Manufacturing standards provide the means for industries to effectively and consistently deploy methodologies and technologies to assess process performance. These assessments set the stage for controlling the manufacturing systems and processes and

Virtual Factory Framework for Supporting Production Planning and Control

September 2, 2016
Author(s)
Deogratias Kibira, Guodong Shao
Developing optimal production plans for smart manufacturing systems is challenging if events change dynamically. A virtual factory incorporating engineering tools, simulation, and optimization generates and communicates performance data to guide wise

Implementing the ISO 15746 Standard for Chemical Process Optimization

July 3, 2016
Author(s)
Guodong Shao, Peter O. Denno, Albert T. Jones, Yan Lu
Integrating advanced process control solutions with optimization (APC-O) solutions, within any factory, enables more efficient production processes. Currently, vendors who provide the software applications that implement control solutions are isolated and

Framework for Standardization of Simulation Integrated Production Planning

June 15, 2016
Author(s)
Deogratias Kibira, Guodong Shao, Bjoern J. Johansson
Production planning is a complex problem that is typically decomposed into decisions carried out at different control levels. Production planning methods employed often assume a static environment; therefore, the plans developed may not be feasible if shop

Virtual Factory Based Data Analytics

June 4, 2016
Author(s)
Sanjay Jain, Guodong Shao, Seungjun Shin
The concept of a virtual factory representation and its use to support data analytics in multiple ways in manufacturing environment are proposed. The proposed virtual factory when implemented can facilitate improvements in manufacturing operations through

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