Adaptive fuzzy system for disassembly process planning

Mark Turowski; Ying Tang

doi:10.1109/ICNSC.2005.1461176

Adaptive fuzzy system for disassembly process planning

Mark Turowski, Ying Tang

Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

8 Scopus citations

Abstract

Disassembly is rapidly growing in importance as manufacturers face increasing pressure to deal with obsolete products in an environmentally responsible and economically sound manner. This paper builds upon our previous work to address uncertainty management and human factors in disassembly. A Fuzzy Petri Net (FPN) model is proposed to mathematically represent uncertain factors in disassembly. An adaptive fuzzy system is then designed to dynamically estimate their impact on the disassembly process. Finding the disassembly path of a discarded product with the highest economic value and prediction confidence is accomplished through a recursive algorithm.

Original language	English (US)
Pages	141-146
Number of pages	6
DOIs	https://doi.org/10.1109/ICNSC.2005.1461176
State	Published - 2005
Event	2005 IEEE Networking, Sensing and Control, ICNSC2005 - Tucson, AZ, United States Duration: Mar 19 2005 → Mar 22 2005

Other

Other	2005 IEEE Networking, Sensing and Control, ICNSC2005
Country/Territory	United States
City	Tucson, AZ
Period	3/19/05 → 3/22/05

All Science Journal Classification (ASJC) codes

General Engineering

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10.1109/ICNSC.2005.1461176

Cite this

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title = "Adaptive fuzzy system for disassembly process planning",

abstract = "Disassembly is rapidly growing in importance as manufacturers face increasing pressure to deal with obsolete products in an environmentally responsible and economically sound manner. This paper builds upon our previous work to address uncertainty management and human factors in disassembly. A Fuzzy Petri Net (FPN) model is proposed to mathematically represent uncertain factors in disassembly. An adaptive fuzzy system is then designed to dynamically estimate their impact on the disassembly process. Finding the disassembly path of a discarded product with the highest economic value and prediction confidence is accomplished through a recursive algorithm.",

author = "Mark Turowski and Ying Tang",

year = "2005",

doi = "10.1109/ICNSC.2005.1461176",

language = "English (US)",

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note = "2005 IEEE Networking, Sensing and Control, ICNSC2005 ; Conference date: 19-03-2005 Through 22-03-2005",

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T1 - Adaptive fuzzy system for disassembly process planning

AU - Turowski, Mark

AU - Tang, Ying

PY - 2005

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AB - Disassembly is rapidly growing in importance as manufacturers face increasing pressure to deal with obsolete products in an environmentally responsible and economically sound manner. This paper builds upon our previous work to address uncertainty management and human factors in disassembly. A Fuzzy Petri Net (FPN) model is proposed to mathematically represent uncertain factors in disassembly. An adaptive fuzzy system is then designed to dynamically estimate their impact on the disassembly process. Finding the disassembly path of a discarded product with the highest economic value and prediction confidence is accomplished through a recursive algorithm.

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M3 - Paper

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SP - 141

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T2 - 2005 IEEE Networking, Sensing and Control, ICNSC2005

Y2 - 19 March 2005 through 22 March 2005

ER -

Adaptive fuzzy system for disassembly process planning

Abstract

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All Science Journal Classification (ASJC) codes

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