Abstract
To cope with the complexities of flexible manufacturing system (FMS) scheduling, this paper proposes and evaluates an improved search strategy and its application to FMS scheduling in a Petri net framework. Petri nets can concisely model multiple lot sizes for each job, the strict precedence constraint, multiple kinds of resources and concurrent activities. On the execution of the Petri nets, our algorithm can use both admissible heuristic functions and nonadmissible heuristic functions having the upper supports of the relative errors in A * heuristic search algorithm. In addition, the search scheme can ensure the results found are optimal and invokes quicker termination conditions. To demonstrate it, the scheduling results are derived and evaluated through a simple FMS with multiple lot sizes for each job. The algorithm is also applied to a set of randomly-generated FMSs with such characteristics as multiple resources and alternative routings.
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© 2014 Springer International Publishing Switzerland
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Huang, B., Jiang, R., Zhang, G. (2014). Heuristic Search for Scheduling Flexible Manufacturing Systems Using Multiple Heuristic Functions. In: Ali, M., Pan, JS., Chen, SM., Horng, MF. (eds) Modern Advances in Applied Intelligence. IEA/AIE 2014. Lecture Notes in Computer Science(), vol 8481. Springer, Cham. https://doi.org/10.1007/978-3-319-07455-9_19
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DOI: https://doi.org/10.1007/978-3-319-07455-9_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07454-2
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