The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 03, 2023

Filed:

Mar. 27, 2020
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Felix Baer, Fuerth, DE;

Niklas Buerger, Nuremberg, DE;

Hans-Henning Klos, Weigendorf, DE;

Christoph Paulitsch, Karlsruhe, DE;

Jens Schnittger, Lonnerstadt, DE;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/04 (2012.01); G06Q 10/0639 (2023.01); G06Q 10/0633 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/06393 (2013.01); G06Q 10/0633 (2013.01); G06Q 10/06395 (2013.01); G06Q 50/04 (2013.01);
Abstract

A method provides predictions of key performance indicators of a product variant of a product family manufactured by a complex manufacturing system in a manufacturing process. The method provides a manufacturing operation model for each manufacturing operation type used to manufacture a product variant of the product family. Via the complex manufacturing system measured contributions to key performance indicators, process context data and process execution data of manufacturing operations, are provided. The model parameters of the provided manufacturing operation models are learned automatically based on collected process context data, collected process execution data, and measured contributions to key performance indicators, to update the manufacturing operation models. An updated production efficiency model combining updated manufacturing models including the updated manufacturing operation models, to calculate the predictions of the key performance indicators, of the product variant, to be manufactured, depending on a product configuration of the respective product variant, is evaluated.


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