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Scheduling an Unbounded Batch Machine to Minimize Maximum Lateness

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Frontiers in Algorithmics (FAW 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4613))

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Abstract

We consider the problem of scheduling n jobs with release times on an unbounded batch machine to minimize the maximum lateness. An unbounded batch machine is a machine that can process up to b (b ≥ n) jobs simultaneously. The jobs that are processed together form a batch, and all jobs in a batch start and complete at the same time. The processing time of a batch is the time required for processing the longest job in the batch. We present a linear time approximation scheme for this problem.

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Franco P. Preparata Qizhi Fang

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© 2007 Springer-Verlag Berlin Heidelberg

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Bai, S., Zhang, F., Li, S., Liu, Q. (2007). Scheduling an Unbounded Batch Machine to Minimize Maximum Lateness. In: Preparata, F.P., Fang, Q. (eds) Frontiers in Algorithmics. FAW 2007. Lecture Notes in Computer Science, vol 4613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73814-5_16

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  • DOI: https://doi.org/10.1007/978-3-540-73814-5_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73813-8

  • Online ISBN: 978-3-540-73814-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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