Alle Publikationen
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2017
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(2017) : Pick Again: Self-Adaptive Warehouse Commissioning: ARCS 2017; 30th International Conference on Architecture of Computing Systems: Berlin, Germany: Axel Springer SE, S. 1-7. Online verfügbar unter https://ieeexplore.ieee.org/document/7948555/
Abstract: Picking in warehouses represents a central process for mail order businesses. It has a major impact on the required investments by the business and the speed of delivery to the clients. In fact, due to the steady rise in expectations regarding delivery times - even private households receive goods on a same-day-delivery basis, nowadays - ongoing optimisation efforts are rather important. They are all the more necessary, as the economic environment changes rapidly, which includes emerging or receding trading channels as well as the generation of vast amounts of sales and usage data. These dynamics, in turn, equally challenge traditional optimisation approaches and monolithic IT systems. Therefore, in this collaborative project between academia and industry, we have spatially re-modelled an existing small parts store, modelled the workers, dollies, and goods, and optimised various aspects such as the chosen routes and storage locations of the goods. Altogether, we achieved a significant increase in efficiency: The picking process yielded 14% more picks per time and the walking distance was reduced by 37%. Our agent-based, and Q-learning-based approach lends itself well for adapting to changes in the environment as well as changes in the clients' shopping behaviours.
2007
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(2007) : Supervising Remote Task Execution in Collaborative Workflow Environments In: VDE: Communication in Distributed Systems - 15. ITG/GI Symposium: Bern, Switzerland: IEEE, S. 1-12. Online verfügbar unter https://ieeexplore.ieee.org/document/5755505/
Abstract: A key problem of collaborative workflows is the - sometimes questionable - assumption that remote tasks will be executed as agreed on before. In order to enforce compliance to given requirements, evidence of the correct execution of a remote task has to be produced. However, participants of inter-organizational workflows are autonomous and information about their private business processes is often (intentionally) unavailable to service consumers. This contribution identifies and discusses distinct levels and approaches to enforce the correct execution of tasks which are executed remotely. In addition to that, specific supervising mechanisms are presented, which are able to create evidence of correct execution while preserving the autonomy of participating business partners. Finally, the identified mechanisms are integrated into a flexible architecture to support monitoring and controlling of remote services.
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