Sap Se

Harald Hengelbrock

Xin Li

Philippe Nemery

Leiyi Yao

Hanmei Zhang

Qinhe Lin

Ben Xu

In optimized container management system, a booking request with customer locations, booking time, container type, movement mode, depot locations and depot locations stock information are received as input in a solver in a container management system received in a container management system. Based on the movement mode of booking request received by customer, solver algorithm is invoked to build a bipartite graph. A bipartite graph with nodes representing customer locations and depot locations are generated, based on the movement mode. Edges between the customer locations and the depot locations are generated based on a container balancing criteria of a solver algorithm. For remaining booking request, edges between the customer locations and the depot locations are generated based on a cost minimization criteria of the solver algorithm. The depot locations are assigned to the corresponding customer locations based on satisfying the container balancing criteria and the cost minimization criteria.

Optimized container management system

A data flow model format allows for improved data flow model creation and execution. The data flow models can provide a user with greater flexibility in selecting an appropriate data flow model, including providing information about the data flow model and selecting from multiple available data flow models. Tabular or graphical visualizations can aid the user in understanding a data flow model and retrieving desired information. Technical features such as designing a data flow with a single data output, and maintaining node identifiers in node metadata, can reduce coupling between software components and improve security and performance.

Data flow modeling and execution

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Heidelberg, Germany

Harald Hengelbrock