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Multimodal Processes Optimization Subject to Fuzzy Operation Time Constraints

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Book cover Distributed Computing and Artificial Intelligence, 12th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 373))

Abstract

Different material handling transport modes provide movement of work pieces between workstations along their manufacturing routes in the Multimodal Transportation Network (MTN). In this context the multimodal processes standing behind multiproduct production flow while executed in MTN can be seen as processes realized with synergic utilization of various local periodically acting processes. Such processes play a determining role in the evaluation of functioning efficiency inter alia in public transport systems, goods transport, energy and data transmission etc. The optimization of Automated Guided Vehicles (AGVs) fleet schedule subject to fuzzy operation times constraints is our main contribution. In the considered case both production rate (takt) and operations execution time are described by imprecise (fuzzy) data.

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Wójcik, R., Nielsen, I., Bocewicz, G., Banaszak, Z. (2015). Multimodal Processes Optimization Subject to Fuzzy Operation Time Constraints. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 12th International Conference. Advances in Intelligent Systems and Computing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-319-19638-1_36

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  • DOI: https://doi.org/10.1007/978-3-319-19638-1_36

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19637-4

  • Online ISBN: 978-3-319-19638-1

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