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    Toward Standards-Based Generation of Reusable Life Cycle Inventory Data Models for Manufacturing Processes

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 002::page 21017
    Author:
    Brundage, Michael P.
    ,
    Lechevalier, David
    ,
    Morris, K. C.
    DOI: 10.1115/1.4041947
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The production stage of a product's life cycle can significantly contribute to its overall environmental impact. Estimates of environmental impact for a product are typically produced using life cycle assessment (LCA) methods. These methods rely on life cycle inventory (LCI) data containing impact estimates of manufacturing processes and other operations that contribute to a product's creation. The accuracy of LCI data is critical for quality assessments; however, these data are often insufficient in the types and varieties of manufacturing processes covered and are often only a coarse estimate of actual impacts. At the same time, much manufacturing research focuses on how to model, measure, assess, and reduce the environmental impacts of manufacturing processes. Recent standards emerging from ASTM International define a structured format for presenting these studies in a reusable way. In this paper, we investigate the potential for using the ASTM E3012-16 format to generate LCI datasets suitable to perform LCA by mapping from the ASTM standard into the widely adopted ecoSpold2 format. A process is presented for generating LCI datasets from ASTM models, and overlaps and gaps between the two standards are identified.
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      Toward Standards-Based Generation of Reusable Life Cycle Inventory Data Models for Manufacturing Processes

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4256724
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    contributor authorBrundage, Michael P.
    contributor authorLechevalier, David
    contributor authorMorris, K. C.
    date accessioned2019-03-17T11:08:47Z
    date available2019-03-17T11:08:47Z
    date copyright12/24/2018 12:00:00 AM
    date issued2019
    identifier issn1087-1357
    identifier othermanu_141_02_021017.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256724
    description abstractThe production stage of a product's life cycle can significantly contribute to its overall environmental impact. Estimates of environmental impact for a product are typically produced using life cycle assessment (LCA) methods. These methods rely on life cycle inventory (LCI) data containing impact estimates of manufacturing processes and other operations that contribute to a product's creation. The accuracy of LCI data is critical for quality assessments; however, these data are often insufficient in the types and varieties of manufacturing processes covered and are often only a coarse estimate of actual impacts. At the same time, much manufacturing research focuses on how to model, measure, assess, and reduce the environmental impacts of manufacturing processes. Recent standards emerging from ASTM International define a structured format for presenting these studies in a reusable way. In this paper, we investigate the potential for using the ASTM E3012-16 format to generate LCI datasets suitable to perform LCA by mapping from the ASTM standard into the widely adopted ecoSpold2 format. A process is presented for generating LCI datasets from ASTM models, and overlaps and gaps between the two standards are identified.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleToward Standards-Based Generation of Reusable Life Cycle Inventory Data Models for Manufacturing Processes
    typeJournal Paper
    journal volume141
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4041947
    journal fristpage21017
    journal lastpage021017-20
    treeJournal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 002
    contenttypeFulltext
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