Patents by Inventor Eric M. Leeson

Eric M. Leeson has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Data structure partitioning in product data management systems
    Patent number: 8533237
    Abstract: Methods for product data management and corresponding systems and computer-readable mediums. A method includes maintaining a hierarchical data structure for a complex item. The data structure includes a root node representing the complex item, at least one assembly node associated with a the partition node, and a plurality of part nodes each associated with the assembly node. The method includes defining at least two occurrences associated with the root node and corresponding to at least the root node and assembly node. The method includes defining at least one partition node representing a partition of the complex item, the partition node representing an organizational division of the occurrences of the associated with the root node that can be referenced in queries and navigation. The method includes associating at least two of the plurality of occurrences with the at least one partition node.
    Type: Grant
    Filed: September 23, 2011
    Date of Patent: September 10, 2013
    Assignee: Siemens Product Lifecycle Management Software Inc.
    Inventors: Frances Elizabeth Evans, Ori Ben-Haim, Eric M. Leeson
  • Occurrence management in product data management systems
    Patent number: 8458228
    Abstract: Methods for product data management and corresponding systems and computer-readable mediums. A method includes maintaining a data structure for a complex item. The data structure includes a root node representing the complex item, at least one assembly node associated with the root node, and a plurality of part nodes each associated with the assembly node. The method includes defining at least two absolute occurrences associated with the root node and corresponding to at least the root node and the assembly node. The method includes defining at least one managed occurrence that includes a plurality of the absolute occurrences. The method includes using the managed occurrence as a central control authority for the plurality of absolute occurrences.
    Type: Grant
    Filed: September 23, 2011
    Date of Patent: June 4, 2013
    Assignee: Siemens Product Lifecycle Management Software Inc.
    Inventors: Ori Ben-Haim, Frances Elizabeth Evans, Eric M. Leeson, Daniel Jonathan Archer
  • DATA STRUCTURE PARTITIONING IN PRODUCT DATA MANAGEMENT SYSTEMS
    Publication number: 20130080477
    Abstract: Methods for product data management and corresponding systems and computer-readable mediums. A method includes maintaining a hierarchical data structure for a complex item. The data structure includes a root node representing the complex item, at least one assembly node associated with a the partition node, and a plurality of part nodes each associated with the assembly node. The method includes defining at least two occurrences associated with the root node and corresponding to at least the root node and assembly node. The method includes defining at least one partition node representing a partition of the complex item, the partition node representing an organizational division of the occurrences of the associated with the root node that can be referenced in queries and navigation. The method includes associating at least two of the plurality of occurrences with the at least one partition node.
    Type: Application
    Filed: September 23, 2011
    Publication date: March 28, 2013
    Applicant: SIEMENS PRODUCT LIFECYCLE MANAGEMENT SOFTWARE INC.
    Inventors: Frances Elizabeth Evans, Ori Ben-Haim, Eric M. Leeson
  • OCCURRENCE MANAGEMENT IN PRODUCT DATA MANAGEMENT SYSTEMS
    Publication number: 20130080478
    Abstract: Methods for product data management and corresponding systems and computer-readable mediums. A method includes maintaining a data structure for a complex item. The data structure includes a root node representing the complex item, at least one assembly node associated with the root node, and a plurality of part nodes each associated with the assembly node. The method includes defining at least two absolute occurrences associated with the root node and corresponding to at least the root node and the assembly node. The method includes defining at least one managed occurrence that includes a plurality of the absolute occurrences. The method includes using the managed occurrence as a central control authority for the plurality of absolute occurrences.
    Type: Application
    Filed: September 23, 2011
    Publication date: March 28, 2013
    Applicant: SIEMENS PRODUCT LIFECYCLE MANAGEMENT SOFTWARE INC.
    Inventors: Ori Ben-Haim, Frances Elizabeth Evans, Eric M. Leeson, Daniel Jonathan Archer
  • Alignment of product representations
    Patent number: 7735027
    Abstract: A system, method, and computer program for identifying a plurality of product representations; formulating a plurality of logical expressions from said plurality of product representations; and aligning each of said plurality of logical expressions with a variance completeness and a consistency and appropriate means and computer-readable instructions.
    Type: Grant
    Filed: July 7, 2006
    Date of Patent: June 8, 2010
    Assignee: Siemens Product Lifecycle Management Software Inc.
    Inventors: Thomas F. Moeller, Eric M. Leeson
  • Alignment of product representations
    Publication number: 20080010620
    Abstract: A system, method, and computer program for identifying a plurality of product representations; formulating a plurality of logical expressions from said plurality of product representations; and aligning each of said plurality of logical expressions with a variance completeness and a consistency and appropriate means and computer-readable instructions.
    Type: Application
    Filed: July 7, 2006
    Publication date: January 10, 2008
    Inventors: Thomas F. Moeller, Eric M. Leeson