Simulation-based shop floor control: Formal model, model generation and control interface

Young Jun Son; Richard A. Wysk; Albert T. Jones

doi:10.1080/07408170304428

Simulation-based shop floor control: Formal model, model generation and control interface

Young Jun Son, Richard A. Wysk, Albert T. Jones

Systems and Industrial Engineering

Research output: Contribution to journal › Article › peer-review

61 Scopus citations

Abstract

In this paper, a structure and architecture for the rapid realization of a simulation-based real-time shop floor control system for a discrete part manufacturing system is presented. The research focuses on automatic simulation model and execution system generation from a production resource model. An Automatic Execution Model Generator (AEMG) has been designed and implemented for generating a Message-based Part State Graph (MPSG)-based shop level execution model. An Automatic Simulation Model Generator (ASMG) has been designed and implemented for generating an Arena simulation model based on a resource model (MS Access 97) and an MPSG-based shop level execution model. A commercial finite capacity scheduler, Tempo, has been used to provide schedule information for the Arena simulation model. This research has been implemented and tested for six manufacturing systems, including The Pennsylvania State University CIM laboratory.

Original language	English (US)
Pages (from-to)	29-48
Number of pages	20
Journal	IIE Transactions (Institute of Industrial Engineers)
Volume	35
Issue number	1
DOIs	https://doi.org/10.1080/07408170304428
State	Published - Jan 2003

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

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10.1080/07408170304428

Cite this

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title = "Simulation-based shop floor control: Formal model, model generation and control interface",

abstract = "In this paper, a structure and architecture for the rapid realization of a simulation-based real-time shop floor control system for a discrete part manufacturing system is presented. The research focuses on automatic simulation model and execution system generation from a production resource model. An Automatic Execution Model Generator (AEMG) has been designed and implemented for generating a Message-based Part State Graph (MPSG)-based shop level execution model. An Automatic Simulation Model Generator (ASMG) has been designed and implemented for generating an Arena simulation model based on a resource model (MS Access 97) and an MPSG-based shop level execution model. A commercial finite capacity scheduler, Tempo, has been used to provide schedule information for the Arena simulation model. This research has been implemented and tested for six manufacturing systems, including The Pennsylvania State University CIM laboratory.",

author = "Son, {Young Jun} and Wysk, {Richard A.} and Jones, {Albert T.}",

note = "Funding Information: Young Jun Son is an Assistant Professor in the Department of Systems and Industrial Engineering at University of Arizona. He received his BS degree in Industrial Engineering with honors from POSTECH in Korea in 1996 and his MS and Ph.D. degrees in Industrial and Manufacturing Engineering from Penn State University in 1998 and 2000, respectively. His research interests include shop floor control, simulation, distributed system, software engineering, and virtual manufacturing. He was the Rotary International Multi-Year Ambassadorial Scholar in 1996, the Council of Logistics Management Scholar in 1997, and the recipient of the Graham Endowed Fellowship for Engineering at Penn State University in 1999. He is an Associate Editor of the International Journal of Modeling and Simulation and a professional member of ASME, IEEE, IIE, INFORMS, and SME.",

year = "2003",

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doi = "10.1080/07408170304428",

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AU - Jones, Albert T.

N1 - Funding Information: Young Jun Son is an Assistant Professor in the Department of Systems and Industrial Engineering at University of Arizona. He received his BS degree in Industrial Engineering with honors from POSTECH in Korea in 1996 and his MS and Ph.D. degrees in Industrial and Manufacturing Engineering from Penn State University in 1998 and 2000, respectively. His research interests include shop floor control, simulation, distributed system, software engineering, and virtual manufacturing. He was the Rotary International Multi-Year Ambassadorial Scholar in 1996, the Council of Logistics Management Scholar in 1997, and the recipient of the Graham Endowed Fellowship for Engineering at Penn State University in 1999. He is an Associate Editor of the International Journal of Modeling and Simulation and a professional member of ASME, IEEE, IIE, INFORMS, and SME.

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N2 - In this paper, a structure and architecture for the rapid realization of a simulation-based real-time shop floor control system for a discrete part manufacturing system is presented. The research focuses on automatic simulation model and execution system generation from a production resource model. An Automatic Execution Model Generator (AEMG) has been designed and implemented for generating a Message-based Part State Graph (MPSG)-based shop level execution model. An Automatic Simulation Model Generator (ASMG) has been designed and implemented for generating an Arena simulation model based on a resource model (MS Access 97) and an MPSG-based shop level execution model. A commercial finite capacity scheduler, Tempo, has been used to provide schedule information for the Arena simulation model. This research has been implemented and tested for six manufacturing systems, including The Pennsylvania State University CIM laboratory.

AB - In this paper, a structure and architecture for the rapid realization of a simulation-based real-time shop floor control system for a discrete part manufacturing system is presented. The research focuses on automatic simulation model and execution system generation from a production resource model. An Automatic Execution Model Generator (AEMG) has been designed and implemented for generating a Message-based Part State Graph (MPSG)-based shop level execution model. An Automatic Simulation Model Generator (ASMG) has been designed and implemented for generating an Arena simulation model based on a resource model (MS Access 97) and an MPSG-based shop level execution model. A commercial finite capacity scheduler, Tempo, has been used to provide schedule information for the Arena simulation model. This research has been implemented and tested for six manufacturing systems, including The Pennsylvania State University CIM laboratory.

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Simulation-based shop floor control: Formal model, model generation and control interface

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