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Degussa Aktiengesellschaft

Michael Mueller

Thomas Gross-Boelting

Wolfgang Sundermeyer

Konstantin Skodinis

Hans-Juergen Klockner

Armin Weidenschlager

Anton Forstreuter

Holger Huene

Frank Feiks

Jordan Tchorbadjiyski

Ruadhan MacFadden

Xiaomeng Wang

Florian Roeger

Techniques and solutions are provided for determining changes to networks formed from network objects. Changes to network objects, such as addition or deletion operations are received and associated with timestamps. Last data changes for respective network objects are determined, including a last data change for a particular type associated with a respective networked object, where a networked object may be concurrently associated with a plurality of types. A first network object is removed from a first network, and contributions of the first network object to edges in the first network are removed. A second network object is associated with an addition operation and at least one edge is determined that connects the second network object and a third network object. Sets of disconnected network objects are determined. Network objects are associated with an identifier identifying a network that includes a respective network object.

Efficient network updates

A computer-implemented method can receive a new plan deviation alert having a deviation level that quantifies a mismatch between expected supply chain parameters specified by a supply chain plan and observed supply chain parameters. Responsive to the new plan deviation alert, the method can perform a rule-based search to find a plurality of potential remediation solutions to correct the mismatch. The method can simulate implementation of the potential remediation solutions and evaluate expended resources associated with them. Based on the evaluated expended resources, the method can generate a ranked list of candidate remediation solutions and display the ranked list of candidate remediation solutions in a user interface. The method can receive a selected remediation solution from the ranked list of candidate remediation solutions for initiation. Machine learning can be used on an expert user's selection to adapt to the expert's preferences and provide more relevant remediation solutions.

Declarative rule-based decision support system

Querying a data set formed from a version of primary data and secondary data is facilitated. First and second versions of primary data are stored in a primary data version store. Secondary data is received. The secondary data is stored in a secondary data store. A query language statement is received. The query language statement is executed by selecting query results from a data set that includes the secondary data and elements of the first version of primary data not inconsistent with the secondary data.

Query processing using primary data versioning and secondary data

A process for the production of disilane from monosilane, in which a gaseous mixture of monosilane and hydrogen is subjected to a plasma discharge.

Process for the production of disilane from monosilane

Growing community of inventors

Heidelberg, Germany

Michael Mueller