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James L Poblete

from Mill Creek, WA
Age ~44
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Also known as:
Lesley J Poblete, James L Poblette
Related to:
Robert N Joughins, 79Remo Ventresca, 51Villaluz FuentesCatherine Ventresca, 51Virginio Fuentes, 80Virginio Fuentes, 44Fe Fuentes, 55
Connected to:
Ana M Poblete, 69Andres Poblete, 37Angel Poblete, 51Antonio G Poblete, 64Carlo E Poblete, 47Carol O Poblete, 52Christian Poblete, 47Christopher A Poblete, 53Estrella M Poblete, 88George L Poblete, 98

James Poblete Phones & Addresses

  • Mill Creek, WA
  • Lynnwood, WA
  • 3252 Autumn View Pointe Dr, Bridgeton, MO 63044 (314) 739-6763
  • 3252 Autumn View Pointe Dr #D, Bridgeton, MO 63044 (314) 739-6763
  • Saint Louis, MO
  • O Fallon, IL

Professional Records

License Records

James D Poblete

License #:
E110160 - Active
Category:
Emergency medical services
Issued Date:
Nov 18, 2014
Expiration Date:
Apr 30, 2018
Type:
Santa Clara County EMS Agency

Business Records

Name / Title
Company / Classification
Phones & Addresses
James V. Poblete
Director
Sound Health Solutions Inc
Business Services Non Commercial Site · Misc Personal Services · Diet & Weight Reducing Centers
2508 Audubon Park Dr SE, Redmond, WA 98075
301 NE 100 St, Seattle, WA 98125
(206) 749-5222

Publications

Us Patents

Prognostic Condition Assessment Decision Aid

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US Patent:
8620714, Dec 31, 2013
Filed:
Nov 28, 2006
Appl. No.:
11/564183
Inventors:
Zachary C. Williams - St. Charles MO, US
James L. Poblete - Bridgeton MO, US
Assignee:
The Boeing Company - Chicago IL
International Classification:
G06Q 10/00
US Classification:
705 722, 705 712, 705 737, 701 293, 701 302
Abstract:
Methods and systems for prognostic condition assessment decision aid of a fleet of vehicles are disclosed. In one embodiment, a method includes providing a schedule of missions and maintenance of a fleet of vehicles, comprising receiving data from the fleet of vehicles for missions and maintenance activity, determining mission and maintenance requirements, processing the received data and requirements to provide an operational allocation of the fleet of vehicles, determining an alternative allocation of the operational allocation of the fleet of vehicles, the alternative allocation satisfying at least one operational objective for the fleet of vehicles, and generating a schedule for the alternative allocation of the fleet of vehicles.

System Health Operations Analysis Model

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US Patent:
7349825, Mar 25, 2008
Filed:
Nov 28, 2006
Appl. No.:
11/564129
Inventors:
Zachary C. Williams - St. Charles MO, US
James L. Poblete - Bridgeton MO, US
Assignee:
The Boeing Company - Chicago IL
International Classification:
G06F 11/30
G21C 17/00
US Classification:
702182
Abstract:
Methods and systems for health operations analysis models to compare a first and second fleet of vehicles are disclosed. In one embodiment, a method for providing a system health operations analysis model including determining a first system health operations analysis of a first fleet of vehicles, determining a second system health operations analysis of a second fleet of vehicles, comparing the first and second system health operations analyses, and generating a system health operations output of the first and second system health operations analyses.

Product Management System With Supplier Risk Management

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US Patent:
20170098186, Apr 6, 2017
Filed:
Oct 2, 2015
Appl. No.:
14/874365
Inventors:
- Chicago IL, US
William E. Krechel - Maryland Heights MO, US
James L. Poblete - Lynnwood WA, US
Brent Patrick LeBlanc - Bothell WA, US
International Classification:
G06Q 10/08
Abstract:
A method and apparatus for managing manufacturing of a product. A computer system identifies a predicted parts shortage for parts based on historical parts shortage data and current parts shortage data. The computer system also identifies a group of parts for which a shortage is predicted and suppliers that supply the group of parts. Further, the computer system identifies a predicted supplier reaction time to resolve the predicted parts shortage. Still further, the computer system identifies ranked suppliers from the suppliers having a greatest predicted supplier reaction time. The computer system also manufactures the product using one or more of the ranked suppliers based on the ranked suppliers identified, thereby enabling reducing a risk of the shortage for the group of parts.
Control profile
James L Poblete from Mill Creek, WA, age ~44 Get Report