View in EDS HTML Full Text PDF Full Text

A three-step approach for decision support in operational production planning of complex manufacturing systems.

Saved in:
Bibliographic Details
Title: A three-step approach for decision support in operational production planning of complex manufacturing systems.
Authors: Christ, Quentin1,2 (AUTHOR) quentin.christ@st.com, Dauzère-Pérès, Stéphane1,3 (AUTHOR) dauzere-peres@emse.fr, Lepelletier, Guillaume2 (AUTHOR) guillaume.lepelletier@kheoos.com
Source: International Journal of Production Research. Sep2023, Vol. 61 Issue 17, p5860-5885. 26p. 2 Diagrams, 16 Charts, 5 Graphs.
Subjects: Production planning, Manufacturing processes, Semiconductor manufacturing, Decision support systems, Heuristic algorithms, Production quantity, Industrial capacity
Abstract: In this paper, a practical relevant operational production planning problem in complex manufacturing systems is addressed. In this problem, lots are planned individually to provide a more detailed plan than approaches that only consider production quantities. A three-step approach, which is currently fully integrated and used in a Decision Support System, is then introduced. This work follows the one of Mhiri et al. [2018. "Heuristic Algorithm for a WIP Projection Problem at Finite Capacity in Semiconductor Manufacturing." IEEE Transactions on Semiconductor Manufacturing 31 (1): 62–75] who addressed this problem. We push the approach a step further by introducing new optimisation possibilities through new smoothing rules, whose performance is studied according to different indicators. Furthermore, we present the production planning process in which the decision support tool is embedded and how it bridges the gap between the upper and lower planning levels. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 166103670
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A three-step approach for decision support in operational production planning of complex manufacturing systems.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Christ%2C+Quentin%22">Christ, Quentin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> quentin.christ@st.com</i><br /><searchLink fieldCode="AR" term="%22Dauzère-Pérès%2C+Stéphane%22">Dauzère-Pérès, Stéphane</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> dauzere-peres@emse.fr</i><br /><searchLink fieldCode="AR" term="%22Lepelletier%2C+Guillaume%22">Lepelletier, Guillaume</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> guillaume.lepelletier@kheoos.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Sep2023, Vol. 61 Issue 17, p5860-5885. 26p. 2 Diagrams, 16 Charts, 5 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Production+planning%22">Production planning</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Semiconductor+manufacturing%22">Semiconductor manufacturing</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Heuristic+algorithms%22">Heuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Production+quantity%22">Production quantity</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+capacity%22">Industrial capacity</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, a practical relevant operational production planning problem in complex manufacturing systems is addressed. In this problem, lots are planned individually to provide a more detailed plan than approaches that only consider production quantities. A three-step approach, which is currently fully integrated and used in a Decision Support System, is then introduced. This work follows the one of Mhiri et al. [2018. "Heuristic Algorithm for a WIP Projection Problem at Finite Capacity in Semiconductor Manufacturing." IEEE Transactions on Semiconductor Manufacturing 31 (1): 62–75] who addressed this problem. We push the approach a step further by introducing new optimisation possibilities through new smoothing rules, whose performance is studied according to different indicators. Furthermore, we present the production planning process in which the decision support tool is embedded and how it bridges the gap between the upper and lower planning levels. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=166103670
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/00207543.2022.2118387
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 26
        StartPage: 5860
    Subjects:
      – SubjectFull: Production planning
        Type: general
      – SubjectFull: Manufacturing processes
        Type: general
      – SubjectFull: Semiconductor manufacturing
        Type: general
      – SubjectFull: Decision support systems
        Type: general
      – SubjectFull: Heuristic algorithms
        Type: general
      – SubjectFull: Production quantity
        Type: general
      – SubjectFull: Industrial capacity
        Type: general
    Titles:
      – TitleFull: A three-step approach for decision support in operational production planning of complex manufacturing systems.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Christ, Quentin
      – PersonEntity:
          Name:
            NameFull: Dauzère-Pérès, Stéphane
      – PersonEntity:
          Name:
            NameFull: Lepelletier, Guillaume
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 00207543
          Numbering:
            – Type: volume
              Value: 61
            – Type: issue
              Value: 17
          Titles:
            – TitleFull: International Journal of Production Research
              Type: main
ResultId 1