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    Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning

    Source: Journal of Mechanical Design:;2014:;volume( 136 ):;issue: 007::page 71001
    Author:
    Behdad, Sara
    ,
    Berg, Leif
    ,
    Vance, Judy
    ,
    Thurston, Deborah
    DOI: 10.1115/1.4025021
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The scientific and industrial communities have begun investigating the possibility of making product recovery economically viable. Disassembly sequence planning may be used to make endoflife product takeback processes more cost effective. Much of the research involving disassembly sequence planning relies on mathematical optimization models. These models often require input data that is unavailable or can only be approximated with high uncertainty. In addition, there are few mathematical models that include consideration of the potential of product damage during disassembly operations. The emergence of Immersive Computing Technologies (ICT) enables designers to evaluate products without the need for physical prototypes. Utilizing unique 3D user interfaces, designers can investigate a multitude of potential disassembly operations without resorting to disassembly of actual products. The information obtained through immersive simulation can be used to determine the optimum disassembly sequence. The aim of this work is to apply a decision analytical approach in combination with immersive computing technology to optimize the disassembly sequence while considering tradeoffs between two conflicting attributes: disassembly cost and damage estimation during disassembly operations. A wooden Burr puzzle is used as an example product test case. Immersive human computer interaction is used to determine input values for key variables in the mathematical model. The results demonstrate that the use of dynamic programming algorithms coupled with virtual disassembly simulation is an effective method for evaluating multiple attributes in disassembly sequence planning. This paper presents a decision analytical approach, combined with immersive computing techniques, to optimize the disassembly sequence. Future work will concentrate on creating better methods of estimating damage in virtual disassembly environments and using the immersive technology to further explore the feasible design space.
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      Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning

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    contributor authorBehdad, Sara
    contributor authorBerg, Leif
    contributor authorVance, Judy
    contributor authorThurston, Deborah
    date accessioned2017-05-09T01:10:37Z
    date available2017-05-09T01:10:37Z
    date issued2014
    identifier issn1050-0472
    identifier othermd_136_07_071001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/155665
    description abstractThe scientific and industrial communities have begun investigating the possibility of making product recovery economically viable. Disassembly sequence planning may be used to make endoflife product takeback processes more cost effective. Much of the research involving disassembly sequence planning relies on mathematical optimization models. These models often require input data that is unavailable or can only be approximated with high uncertainty. In addition, there are few mathematical models that include consideration of the potential of product damage during disassembly operations. The emergence of Immersive Computing Technologies (ICT) enables designers to evaluate products without the need for physical prototypes. Utilizing unique 3D user interfaces, designers can investigate a multitude of potential disassembly operations without resorting to disassembly of actual products. The information obtained through immersive simulation can be used to determine the optimum disassembly sequence. The aim of this work is to apply a decision analytical approach in combination with immersive computing technology to optimize the disassembly sequence while considering tradeoffs between two conflicting attributes: disassembly cost and damage estimation during disassembly operations. A wooden Burr puzzle is used as an example product test case. Immersive human computer interaction is used to determine input values for key variables in the mathematical model. The results demonstrate that the use of dynamic programming algorithms coupled with virtual disassembly simulation is an effective method for evaluating multiple attributes in disassembly sequence planning. This paper presents a decision analytical approach, combined with immersive computing techniques, to optimize the disassembly sequence. Future work will concentrate on creating better methods of estimating damage in virtual disassembly environments and using the immersive technology to further explore the feasible design space.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleImmersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning
    typeJournal Paper
    journal volume136
    journal issue7
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.4025021
    journal fristpage71001
    journal lastpage71001
    identifier eissn1528-9001
    treeJournal of Mechanical Design:;2014:;volume( 136 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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