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Integration Production Planning and Scheduling Systems for Determination of Transitional Phases in Repetitive Production

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Hybrid Artificial Intelligent Systems (HAIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7209))

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Abstract

In the process of multiassortment repetitive production planning the designation of operating system parameters for the steady state (in which after the last operation the return to the first operation in the sequence of productive resources occurs) is required. The length of steady state of the system is determined by the work of the critical resource. Determination of resources sequence for the steady state gives possibility to determine the processing times for processes in the system without taking into account the transitional phases. During the execution of this type of production, in addition to the phase in which production takes place in the steady state, transition phases connected with starting (start-up phase) and finishing work in the system (cease phase), and the phases associated with the changes in ongoing sequences in steady states can be distinguished. The article presents the problem of estimating the duration of the start-up phase and the cease phase in the concurrent multiassortment production systems, in which access to the resources is regulated by the local dispatching rules. A method and a procedure of creating a schedule for the transition phases using the integration between the systems of production planning and scheduling is presented. The demonstrated approach is illustrated with the examples using KbRS and SWZ systems.

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Krenczyk, D., Kalinowski, K., Grabowik, C. (2012). Integration Production Planning and Scheduling Systems for Determination of Transitional Phases in Repetitive Production. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_27

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  • DOI: https://doi.org/10.1007/978-3-642-28931-6_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28930-9

  • Online ISBN: 978-3-642-28931-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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