Unified colored timed petri net models for the adaptive control of disassembly systems

Ying Tang

doi:10.1109/COASE.2008.4626438

Unified colored timed petri net models for the adaptive control of disassembly systems

Ying Tang

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

A method is presented for the robust control of a disassembly system that undergoes process plan variations due to heterogeneity of demands and product conditions. Two Colored Timed Petri net (CTPN) models is proposed and extended for the hierarchical modeling of both the system architecture and disassembly plans corresponding to the products to be processed. To address the high levels of uncertainty inherent in the operation of the disassembly system, a Hybrid Bayesian Network (HBN) is adopted to intercommunicate with the two CTPN models, allowing the system to exploit any newly available information for future decision-makings. An algorithm is then introduced to maximize the expected returns from the disassembly process while efficiently utilizing the system resource to fulfill order requirement,

Original language	English (US)
Title of host publication	4th IEEE Conference on Automation Science and Engineering, CASE 2008
Pages	638-643
Number of pages	6
DOIs	https://doi.org/10.1109/COASE.2008.4626438
State	Published - Nov 3 2008
Event	4th IEEE Conference on Automation Science and Engineering, CASE 2008 - Washington, DC, United States Duration: Aug 23 2008 → Aug 26 2008

Other

Other	4th IEEE Conference on Automation Science and Engineering, CASE 2008
Country/Territory	United States
City	Washington, DC
Period	8/23/08 → 8/26/08

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/COASE.2008.4626438

Cite this

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title = "Unified colored timed petri net models for the adaptive control of disassembly systems",

abstract = "A method is presented for the robust control of a disassembly system that undergoes process plan variations due to heterogeneity of demands and product conditions. Two Colored Timed Petri net (CTPN) models is proposed and extended for the hierarchical modeling of both the system architecture and disassembly plans corresponding to the products to be processed. To address the high levels of uncertainty inherent in the operation of the disassembly system, a Hybrid Bayesian Network (HBN) is adopted to intercommunicate with the two CTPN models, allowing the system to exploit any newly available information for future decision-makings. An algorithm is then introduced to maximize the expected returns from the disassembly process while efficiently utilizing the system resource to fulfill order requirement,",

author = "Ying Tang",

year = "2008",

month = nov,

day = "3",

doi = "10.1109/COASE.2008.4626438",

language = "English (US)",

isbn = "9781424420230",

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note = "4th IEEE Conference on Automation Science and Engineering, CASE 2008 ; Conference date: 23-08-2008 Through 26-08-2008",

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AU - Tang, Ying

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AB - A method is presented for the robust control of a disassembly system that undergoes process plan variations due to heterogeneity of demands and product conditions. Two Colored Timed Petri net (CTPN) models is proposed and extended for the hierarchical modeling of both the system architecture and disassembly plans corresponding to the products to be processed. To address the high levels of uncertainty inherent in the operation of the disassembly system, a Hybrid Bayesian Network (HBN) is adopted to intercommunicate with the two CTPN models, allowing the system to exploit any newly available information for future decision-makings. An algorithm is then introduced to maximize the expected returns from the disassembly process while efficiently utilizing the system resource to fulfill order requirement,

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DO - 10.1109/COASE.2008.4626438

M3 - Conference contribution

AN - SCOPUS:54949097830

SN - 9781424420230

SP - 638

EP - 643

BT - 4th IEEE Conference on Automation Science and Engineering, CASE 2008

T2 - 4th IEEE Conference on Automation Science and Engineering, CASE 2008

Y2 - 23 August 2008 through 26 August 2008

ER -

Unified colored timed petri net models for the adaptive control of disassembly systems

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All Science Journal Classification (ASJC) codes

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