Naresh S Iyer2392 Shreve Hill Rd, Vienna, VA 22027

2008020, Aug 21, 2008

Oct 25, 2007

11/924435

Pratik D. Jha - Herndon VA, US
Alexander Suchkov - Sterling VA, US
Rajesh Venkat Subbu - Clifton Park NY, US
John Michael Lizzi - Wilton NY, US
Naresh Iyer - Clifton Park NY, US

Lockheed Martin Corporation - Bethesda MD

G06F 17/00

705 7

Systems and methods for optimizing a plurality of competing portfolios of logistical alternatives are disclosed. In one embodiment, where the competing portfolios of logistical alternatives are competing portfolios of flight paths, a method () for optimizing a plurality of competing portfolios of logistical alternatives includes receiving () competing flight path portfolios from one or more flight operation centers. Dominance criteria are applied () to select a subset of the portfolios from the plurality of competing portfolios for further consideration. Multi-objective genetic optimization is applied () to the subset of portfolios to identify an optimal portfolio among the plurality of competing portfolios of logistical alternatives. Where the method () is undertaken by executing computer program code on at least one computer processor, information identifying the logistical alternatives included in the optimal portfolio may be output () on an output device in communication with the computer processor.

2009011, Apr 30, 2009

Oct 25, 2007

11/924468

Pratik D. Jha - Herndon VA, US
Rajesh Venkat Subbu - Clifton Park NY, US
John Michael Lizzi - Wilton NY, US
Naresh Iyer - Clifton Park NY, US
Liviu Nedelescu - Bucharest, RO

Lockheed Martin Corporation - Bethesda MD

G06Q 10/00

705 7

Systems and methods for planning and optimizing air traffic flow within an airspace are provided. In one embodiment, a system () includes: (1) a stakeholder objective evaluation module () receiving stakeholder preferences from stakeholders having an interest in flight routing within the airspace during an operational planning period and stakeholder metrics as feedback input and outputting strategic and flight route settings for the airspace based on the stakeholder preferences and stakeholder metrics; (2) a strategic optimization module () receiving the strategic settings, creating an initial airspace state, and generating an updated airspace state using the strategic settings; (3) a route optimization module () receiving the flight route settings and selecting preferred routes for flights during the operational planning period using the route settings; and (4) a simulation module () receiving simulation settings including the airspace state and the preferred routes, simulating flights during the operational planning period, and outputting the stakeholder metrics for feed-back.

2013013, May 30, 2013

Jan 24, 2013

13/749202

LOCKHEED MARTIN CORPORATION - Bethesda MD, US
Naresh Sundaram Iyer - Ballston Spa NY, US
Weizhong Yan - Clifton Park NY, US

LOCKHEED MARTIN CORPORATION - Bethesda MD

F02C 7/26

60 39091

Starter control valve failure prediction machines, systems, computer readable media, program products, and computer implemented methods to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic and to make predictions of starter control valve failures, are provided. A computer implemented method according to an embodiment of the present invention can include the steps of generating a continuous starter control valve deterioration trend function responsive to a plurality of health indices derived from gas turbine engine startup data downloaded from gas turbine engine sensors for a plurality of startups and analyzing the continuous starter control valve deterioration trend function to identify potential starter control valve failure points where the points on the starter control valve deterioration trend function correlate to a starter control valve health prognostic responsive to historic gas turbine engine startup data downloaded from gas turbine engine sensors.