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Complete Complexity Classification of Short Shop Scheduling

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Computer Science - Theory and Applications (CSR 2009)

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Abstract

In this paper a comprehensive complexity analysis of classical shop scheduling problems (open shop, job shop and mixed shop) is presented subject to joint constraints on several problem parameters, such as the maximum processing time of an operation, the maximum number of operations per job, and the schedule length. Thus, our research continues the research line on the complexity analysis of short scheduling initiated for the open shop and job shop problems in the paper by Williamson et al. (1997). We improve upon some of the results in that paper.

Research of the first and second authors is partially supported by RFBR grant no. 08-01-00370, Russian-Taiwan grant no. 08-06-92000. Research of the first author is partially supported by ADTP grant 2.1.1.3235.

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Kononov, A., Sevastyanov, S., Sviridenko, M. (2009). Complete Complexity Classification of Short Shop Scheduling. In: Frid, A., Morozov, A., Rybalchenko, A., Wagner, K.W. (eds) Computer Science - Theory and Applications. CSR 2009. Lecture Notes in Computer Science, vol 5675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03351-3_22

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  • DOI: https://doi.org/10.1007/978-3-642-03351-3_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03350-6

  • Online ISBN: 978-3-642-03351-3

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