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(e.g. temperature) and external (e.g. traffic information) data regarding to the good by
using CEP. The fulfillment of a logistics service and the resulting service profiles are
created and updated continuously (see Section 5). If it is predictable that an ongoing
contract and the regarding SLOs cannot be fulfilled, the 4PL will be timely informed
to adopt compensating measures. In this case, the service lifecycle will be restarted.
The gathered real-time data is an important input for the analysis and design phase for
new logistics services, because the gap between physical and virtual can be bridged.
At the end of the service lifecycle the contract expires and the service terminates
( retirement ). The process execution is analyzed and possible lacks will be eradicated.
Fig. 5. Service lifecycle focused on using CEP for acquiring real-time data for simulation
7
Conclusion and Future Work
From the 4PL point of view a major issue is an integrated planning process with
which a multitude of service providers are orchestrated in order to realize a
customer's logistics network. Therefore, we clarified the requirements of our
approach in general, in that we presented under which circumstances our approach
can be applied. In this context, we presented an integrated planning approach based
on a process transformation into a simulation in order to make sure, that the modeled
process is robust, cost efficient and meets the customer's requirements. If the result of
the simulation is satisfying and we can determine a valid combination of services and
service providers respectively, the planning process can be closed at this point.
Essential to this approach is the acquisition of real-time data for simulation. In [6] it is
shown, that CEP is suitable to monitor an instantiated logistics network within the
area of the 4PL business model. In contrast to that paper, we developed the approach
 
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