View in EDS HTML Full Text PDF Full Text

A Process-Planning Framework for Sustainable Manufacturing.

Saved in:
Bibliographic Details
Title: A Process-Planning Framework for Sustainable Manufacturing.
Authors: Reiff, Colin1 (AUTHOR) colin.reiff@isw.uni-stuttgart.de, Buser, Matthias2 (AUTHOR) matthias.buser@ifsw.uni-stuttgart.de, Betten, Thomas3 (AUTHOR) thomas.betten@iabp.uni-stuttgart.de, Onuseit, Volkher2 (AUTHOR) volkher.onuseit@ifsw.uni-stuttgart.de, Hoßfeld, Max2 (AUTHOR) max.hossfeld@ifsw.uni-stuttgart.de, Wehner, Daniel4 (AUTHOR) daniel.wehner@ibp.fraunhofer.de, Riedel, Oliver1 (AUTHOR)
Source: Energies (19961073). Sep2021, Vol. 14 Issue 18, p5811-5811. 1p.
Subject Terms: *Decision making, *Manufacturing processes, *Laser deposition, *Multiple criteria decision making, *Laser machining, *Production planning
Abstract: Process planning in manufacturing today focuses on optimizing the conflicting targets of cost, quality, and time. Due to increasing social awareness and subsequent governmental regulation, environmental impact becomes a fourth major aspect. Eventually, sustainability in manufacturing ensures future competitiveness. In this paper, a framework for the planning of sustainable manufacturing is proposed. It is based on the abstraction and generalization of manufacturing resources and part descriptions, which are matched and ranked using a multi-criteria decision analysis method. Manufacturing resources provide values for cost, quality, time and environmental impacts, which multiply with their usage within a manufacturing task for a specific part. The framework is validated with a detailed modeling of a laser machine as a resource revealing benefits and optimization potential of the underlying data model. Finally, the framework is applied to a use case of a flange part with two different manufacturing strategies, i.e., laser metal-wire deposition and conventional milling. The most influential parameters regarding the environmental impacts are the raw material input, the manufacturing energy consumption and the machine production itself. In general, the framework enabled the identification of non-predetermined manufacturing possibilities and the comprehensive comparison of production resources. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 152656977
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Process-Planning Framework for Sustainable Manufacturing.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Reiff%2C+Colin%22">Reiff, Colin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> colin.reiff@isw.uni-stuttgart.de</i><br /><searchLink fieldCode="AR" term="%22Buser%2C+Matthias%22">Buser, Matthias</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> matthias.buser@ifsw.uni-stuttgart.de</i><br /><searchLink fieldCode="AR" term="%22Betten%2C+Thomas%22">Betten, Thomas</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> thomas.betten@iabp.uni-stuttgart.de</i><br /><searchLink fieldCode="AR" term="%22Onuseit%2C+Volkher%22">Onuseit, Volkher</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> volkher.onuseit@ifsw.uni-stuttgart.de</i><br /><searchLink fieldCode="AR" term="%22Hoßfeld%2C+Max%22">Hoßfeld, Max</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> max.hossfeld@ifsw.uni-stuttgart.de</i><br /><searchLink fieldCode="AR" term="%22Wehner%2C+Daniel%22">Wehner, Daniel</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> daniel.wehner@ibp.fraunhofer.de</i><br /><searchLink fieldCode="AR" term="%22Riedel%2C+Oliver%22">Riedel, Oliver</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Sep2021, Vol. 14 Issue 18, p5811-5811. 1p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br />*<searchLink fieldCode="DE" term="%22Laser+deposition%22">Laser deposition</searchLink><br />*<searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Laser+machining%22">Laser machining</searchLink><br />*<searchLink fieldCode="DE" term="%22Production+planning%22">Production planning</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Process planning in manufacturing today focuses on optimizing the conflicting targets of cost, quality, and time. Due to increasing social awareness and subsequent governmental regulation, environmental impact becomes a fourth major aspect. Eventually, sustainability in manufacturing ensures future competitiveness. In this paper, a framework for the planning of sustainable manufacturing is proposed. It is based on the abstraction and generalization of manufacturing resources and part descriptions, which are matched and ranked using a multi-criteria decision analysis method. Manufacturing resources provide values for cost, quality, time and environmental impacts, which multiply with their usage within a manufacturing task for a specific part. The framework is validated with a detailed modeling of a laser machine as a resource revealing benefits and optimization potential of the underlying data model. Finally, the framework is applied to a use case of a flange part with two different manufacturing strategies, i.e., laser metal-wire deposition and conventional milling. The most influential parameters regarding the environmental impacts are the raw material input, the manufacturing energy consumption and the machine production itself. In general, the framework enabled the identification of non-predetermined manufacturing possibilities and the comprehensive comparison of production resources. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=152656977
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en14185811
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: 5811
    Subjects:
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Manufacturing processes
        Type: general
      – SubjectFull: Laser deposition
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Laser machining
        Type: general
      – SubjectFull: Production planning
        Type: general
    Titles:
      – TitleFull: A Process-Planning Framework for Sustainable Manufacturing.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Reiff, Colin
      – PersonEntity:
          Name:
            NameFull: Buser, Matthias
      – PersonEntity:
          Name:
            NameFull: Betten, Thomas
      – PersonEntity:
          Name:
            NameFull: Onuseit, Volkher
      – PersonEntity:
          Name:
            NameFull: Hoßfeld, Max
      – PersonEntity:
          Name:
            NameFull: Wehner, Daniel
      – PersonEntity:
          Name:
            NameFull: Riedel, Oliver
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 09
              Text: Sep2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 18
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
ResultId 1