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further in that we discuss the use of CEP to acquire data for planning new complex
logistics services, especially for simulating them. To prepare these data we propose
the development of service profiles which can be aggregated to provider profiles.
Finally, we illustrated the overall approach and the interaction between simulation,
CEP and service profiles focused on the service lifecycle.
Subject of the future work is the development of service profile patterns.
Depending on the service type (e.g. transportation, storage) a service profile consists
of different KPI's. In addition, a set of indicators have to be worked out to create
expressive provider profiles for further planning steps (e.g. provider selection).
Furthermore, the prioritization of delays must be investigated.
Acknowledgments.
The work presented in this paper was funded by the German
Federal Ministry of Education and Research under the project LSEM (BMBF
03IPT504X) and LogiLeit (BMBF 03IPT504A).
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