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Scheduling Jobs on a Flexible Batching Machine: Model, Complexity and Algorithms

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Theory and Applications of Models of Computation (TAMC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3959))

Abstract

Normal batching machine scheduling problems are assumed that the capacity of the machine, the maximum number of jobs that the machine can handle up to simultaneously, is fixed. However, in some realistic situations, the capacity of a machine is not constant. We call it a flexible batching machine. In this paper, we address the problem of scheduling jobs on a flexible batching machine to minimize the makespan. We prove that the problem is strong NP-hard, and its two agreeable cases are NP-hard. Then two pseudo-polynomial algorithms for the two cases are presented respectively.

Supported by NSFC(No.10371071), SSFC(No.03ZR14039), and SEFC(No.04RB06).

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© 2006 Springer-Verlag Berlin Heidelberg

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Fan, B., Tang, G. (2006). Scheduling Jobs on a Flexible Batching Machine: Model, Complexity and Algorithms. In: Cai, JY., Cooper, S.B., Li, A. (eds) Theory and Applications of Models of Computation. TAMC 2006. Lecture Notes in Computer Science, vol 3959. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11750321_11

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  • DOI: https://doi.org/10.1007/11750321_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34021-8

  • Online ISBN: 978-3-540-34022-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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