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Sicheng Zhang et al.
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JOURNAL OF MANUFACTURING SYSTEMS (2013)
A comparison of priority rules for the job shop scheduling problem under different flow time- and tardiness-related objective functions
Veronique Sels et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2012)
Analysis of reactive scheduling problems in a job shop environment
I Sabuncuoglu et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2000)
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