Sap Se

Sap Ag

Thomas John

Frank Brunswig

Daniel Goldmann

Christian Haas

Otfried Geisau

Newsha Eftekhari

Konrad Traeger

Sandra Schmidt

A system and method of combining independent demand forecast streams. Demand data is extracted from each of the demand forecast streams. The extracted data is combined based on one or more criteria to yield a single resultant demand data set. The resultant demand data set is released for supply network planning rather than any original forecast data stream.

Method and system for combination of independent demand data streams

A view object is generated in a target deployment unit in a design time environment of a metadata repository. The view object is modeled on a business object of a source deployment unit. The source deployment unit includes process components of a business application that is physically decoupled from the target deployment unit. A subset of attributes of the business object of the source deployment unit is selected. The subset of attributes includes at least an outbound agent and an inbound agent implemented by a generic messaging framework. The view object is modeled in the target deployment unit with the subset of attributes of the business object. The inbound agent of the view object is configured for receiving a replication message from the outbound agent of the business object, and the replication message includes replication data for configuring the view object only with data from the business object.

Declarative view objects

Systems and methods are disclosed for planning demand of a product, such as a configurable product. In one embodiment, a method is provided for planning demand for a configurable product in a managed supply chain. The method may comprise the steps of storing data relating to the possible combinations of characteristics defining configurable products, wherein product dependent characteristic data and product independent characteristic data are stored dependently with respect to one another, and converting a planning demand for a configurable product into a planning demand for an actual combination of characteristics defining a configured product.

Systems and methods for planning demand for configurable products

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Weinheim, Germany

Thomas John