Patents by Inventor Javier Subira Escrig

Javier Subira Escrig 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).

  • Inventory optimization tool
    Patent number: 10346774
    Abstract: This disclosure generally relates to devices, systems, and computer-implemented methods for simulating one or more inventories in a distribution network. Specifically, methods are described that comprise the operations of receiving inventory data for one or more inventories to be simulated, wherein the inventory data includes lead time data and demand data; determining, based on the inventory data, probability distributions for each of lead time and demand for the one or more inventories to be simulated; determining a lead time demand probability distribution of the one or more inventories to be simulated based on the determined probability distributions for the lead time and the demand; determining a predictive state of the one or more inventories to be simulated based on the lead time demand probability distribution; and outputting one or more evaluation parameters associated with the predictive state of the one or more inventories to be simulated.
    Type: Grant
    Filed: August 25, 2015
    Date of Patent: July 9, 2019
    Assignee: Accenture Global Services Limited
    Inventors: Yair Martinez, Javier Subira Escrig, Dario Romare, Jaime Lagunas, Robert Gimeno, Ghanshyam Devnani, Rajesh Singh
  • INVENTORY OPTIMIZATION TOOL
    Publication number: 20160063419
    Abstract: This disclosure generally relates to devices, systems, and computer-implemented methods for simulating one or more inventories in a distribution network. Specifically, methods are described that comprise the operations of receiving inventory data for one or more inventories to be simulated, wherein the inventory data includes lead time data and demand data; determining, based on the inventory data, probability distributions for each of lead time and demand for the one or more inventories to be simulated; determining a lead time demand probability distribution of the one or more inventories to be simulated based on the determined probability distributions for the lead time and the demand; determining a predictive state of the one or more inventories to be simulated based on the lead time demand probability distribution; and outputting one or more evaluation parameters associated with the predictive state of the one or more inventories to be simulated.
    Type: Application
    Filed: August 25, 2015
    Publication date: March 3, 2016
    Inventors: Yair Martinez, Javier Subira Escrig, Dario Romare, Jaime Lagunas, Robert Gimeno, Ghanshyam Devnani, Rajesh Singh