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Solving the generalized job shop scheduling problem via temporal constraint propagation

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Knowledge Based Computer Systems (KBCS 1989)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 444))

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Abstract

A Scheduling Algorithm with Temporal Constraint Propagation (STCP) is proposed to solve the generalized job shop scheduling problem. STCP propagates the precedence constraints and machine interference constraints to reduce the search space of the active schedules. Further, by making use of the temporal nature of the job shop scheduling, efficient algorithms to propagate precedence constraints and machine interference constraints are developed. Experimental results reveal that constraint propagation significantly reduces the computation time for scheduling. Further, the proposed temporal constraint propagation algorithms provide an order of magnitude improvement on the computation time over the conventional constraint propagation algorithm.

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References

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Authors and Affiliations

  1. Computer Science Department, University of California, Los Angeles, 90024, Los Angeles, California, USA

    Wesley W. Chu & Patrick H. Ngai

Authors
  1. Wesley W. Chu
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  2. Patrick H. Ngai
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Editor information

S. Ramani R. Chandrasekar K. S. R. Anjaneyulu

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© 1990 Springer-Verlag Berlin Heidelberg

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Chu, W.W., Ngai, P.H. (1990). Solving the generalized job shop scheduling problem via temporal constraint propagation. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018366

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  • DOI: https://doi.org/10.1007/BFb0018366

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52850-0

  • Online ISBN: 978-3-540-47168-4

  • eBook Packages: Springer Book Archive

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