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A hybrid job-shop scheduling systemThe intention of the scheduling system developed at the Fraunhofer-Institute for Material Flow and Logistics is the support of a scheduler working in a job-shop. Due to the existing requirements for a job-shop scheduling system the usage of flexible knowledge representation and processing techniques is necessary. Within this system the attempt was made to combine the advantages of symbolic AI-techniques with those of neural networks.
Document ID
19930009501
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hellingrath, Bernd (Fraunhofer Inst. for Material Flow and Logistics Dortmund, Germany)
Robbach, Peter (Fraunhofer Inst. for Material Flow and Logistics Dortmund, Germany)
Bayat-Sarmadi, Fahid (Fraunhofer Inst. for Material Flow and Logistics Dortmund, Germany)
Marx, Andreas (Fraunhofer Inst. for Material Flow and Logistics Dortmund, Germany)
Date Acquired
September 6, 2013
Publication Date
May 1, 1992
Publication Information
Publication: NASA. Ames Research Center, Working Notes from the 1992 AAAI Spring Symposium on Practical Approaches to Scheduling and Planning
Subject Category
Cybernetics
Accession Number
93N18690
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

Related Records

IDRelationTitle19930009470Collected WorksWorking Notes from the 1992 AAAI Spring Symposium on Practical Approaches to Scheduling and Planning
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