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https://doi.org/10.3233/atde22...
Part of book or chapter of book . 2022 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Part of book or chapter of book . 2022
Data sources: mEDRA
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Research on Collaborative Flexible Job-Shop Scheduling Technology

Authors: Xu, Tongming; Li, Zhou; Feng, Huanhu;

Research on Collaborative Flexible Job-Shop Scheduling Technology

Abstract

To improve the management of collaborative manufacturing tasks in MES and promote the digital transformation of discrete manufacturing enterprises, the collaborative manufacturing of discrete manufacturing based on MES has been studied. First, the business flow of collaborative manufacturing in an MES was analyzed systematically. Second, the algorithm of detailed scheduling for collaborative tasks was studied, and a model of external collaborative resources was designed. Then, a solution of collaborative scheduling was presented based on a hybrid genetic algorithm. Finally, a solution for the execution process management of collaborative manufacturing was promoted based on the integration of MES and ERP. The technologies researched can improve the general management of collaborative manufacturing and guide practical production management.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid
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