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Modeling of orders in autonomously controlled logistic systems

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Abstract

The paper extends the Autonomous Logistics Engineering Methodology (ALEM) by a deeper understanding of immaterial logistic objects to trigger manufacturing processes. Further, a hierarchical modeling concept is introduced to split customer orders logically into partial orders, which run directly at the shop floor level. Each partial order consists of certain manufacturing steps. The amendments enable adequate modeling of autonomous manufacturing processes. The research is a further step to integrate autonomously controlled processes in logistics.

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Acknowledgments

This research is funded by the German Research Foundation (DFG) as part of the Collaborative Research Centre 637 “Autonomous Cooperation Logistic Processes—A Paradigm Shift and its Limitations” (CRC637).

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Authors and Affiliations

  1. BIBA, Bremer Institut für Produktion und Logistik, University of Bremen, Hochschulring 20, 28359, Bremen, Germany

    B. Scholz-Reiter, St. Sowade, T. Hildebrandt & D. Rippel

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  1. B. Scholz-Reiter
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  2. St. Sowade
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  3. T. Hildebrandt
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  4. D. Rippel
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Corresponding author

Correspondence to St. Sowade.

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Scholz-Reiter, B., Sowade, S., Hildebrandt, T. et al. Modeling of orders in autonomously controlled logistic systems. Prod. Eng. Res. Devel. 4, 319–325 (2010). https://doi.org/10.1007/s11740-010-0253-2

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  • DOI: https://doi.org/10.1007/s11740-010-0253-2

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