Patents by Inventor Mark Richard Miller

Mark Richard Miller 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).

  • Publication number: 20250051326
    Abstract: Crystalline forms of Compound I: pharmaceutically acceptable salts thereof, and solvates and hydrates thereof are disclosed. Pharmaceutical compositions comprising the same, methods of treating cystic fibrosis using the same, and methods for making the same are also disclosed.
    Type: Application
    Filed: October 24, 2023
    Publication date: February 13, 2025
    Inventors: Yi Shi, Kevin J. Gagnon, Jicong Li, Jennifer Lu, Ales Medek, Muna Shrestha, Michael Waldo, Beili Zhang, Carl L. Zwicker, Corey Don Anderson, Jeremy J. Clemens, Thomas Cleveland, Timothy Richard Coon, Bryan Frieman, Peter Grootenhuis, Sara Sabina Hadida Ruah, Jason McCartney, Mark Thomas Miller, Prasuna Paraselli, Fabrice Pierre, Sara E. Swift, Jinglan Zhou
  • Patent number: 12112284
    Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.
    Type: Grant
    Filed: January 22, 2018
    Date of Patent: October 8, 2024
    Assignee: Blue Yonder Group, Inc.
    Inventors: Vijay Krishnan Ganesan, Jian Yang, Gayle Lynne Hayes, Mark Richard Miller
  • Publication number: 20180144274
    Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.
    Type: Application
    Filed: January 22, 2018
    Publication date: May 24, 2018
    Inventors: Vijay Krishnan Ganesan, Jian Yang, Gayle Lynne Hayes, Mark Richard Miller
  • Patent number: 9875447
    Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.
    Type: Grant
    Filed: February 4, 2011
    Date of Patent: January 23, 2018
    Assignee: JDA Software Group, Inc.
    Inventors: Vijay Krishnam Ganesan, Jian Yang, Gayle Lynee Hayes, Mark Richard Miller
  • Publication number: 20110125470
    Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.
    Type: Application
    Filed: February 4, 2011
    Publication date: May 26, 2011
    Applicant: I2 TECHNOLOGIES US, INC.
    Inventors: Vijay Krishnan Ganesan, Jian Yang, Gayle Lynne Hayes, Mark Richard Miller
  • Patent number: 7905393
    Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.
    Type: Grant
    Filed: October 23, 2007
    Date of Patent: March 15, 2011
    Assignee: i2 Technologies US, Inc.
    Inventors: Vijay Krishnan Ganesan, Jian Yang, Gayle Lynne Hayes, Mark Richard Miller
  • Patent number: 7343311
    Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.
    Type: Grant
    Filed: March 1, 2002
    Date of Patent: March 11, 2008
    Assignee: i2 Technologies US, Inc.
    Inventors: Vijay Krishnan Ganesan, Jian Yang, Gayle Lynne Hayes, Mark Richard Miller
  • Publication number: 20040153376
    Abstract: Generating an optimized supplier allocation plan includes identifying parts and suppliers associated with an allocation problem, where each supplier can supply at least one part. One or more objective functions are selected. Each objective function has part variables, and each part variable represents a quantity of a part to be procured from a supplier. At least one constraint constraining at least one part variable is received. The one or more objective functions are optimized with respect to the at least one constraint to yield a value for each part variable. A quantity of each part to be procured from at least one supplier is determined according to the values to generate the optimized supplier allocation plan.
    Type: Application
    Filed: March 1, 2002
    Publication date: August 5, 2004
    Applicant: i2 Technologies US, Inc.
    Inventors: Vijay Krishnan Ganesan, Jian Yang, Gayle Lynne Hayes, Mark Richard Miller