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Thomas J Trenga

from Mesa, AZ
Age ~60
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Also known as:
Thomas John Trenga, Tom J Trenga, John Trenga Thomas
Phone and address:
2251 32Nd St, Mesa, AZ 85213
(480) 497-8654
Related to:
Leo Dawn Thomas, 62Joan J Thomas, 89Kimberly R Thomas, 56Amelia H Trenga, 32Nancy D Mills, 82Kevin H Mills, 53Barton A Mills, 82Mary L Stapleton, 60Marie J Trenga, 92Bonnie A Mills, 55
Connected to:
Kevin F Trenga, 68Tara N Trenga, 40Sandy L Trenge, 67Rune Trengereid, 63Barbara Trenholm, 69Cindy Trenholm, 79Dauphne A Trenholm, 56Edward J Trenholm, 57Jessica Trenholm, 52Mark L Trenholm, 54

Thomas Trenga Phones & Addresses

  • 2251 32Nd St, Mesa, AZ 85213 (480) 497-8654
  • Truckee, CA
  • 732 Cholla St, Gilbert, AZ 85233 (480) 497-8638
  • Chandler, AZ
  • Nashville, TN
  • Manhattan Beach, CA
  • Maricopa, AZ
  • Manlius, NY
  • Novato, CA
  • 2251 N 32Nd St LOT 26, Mesa, AZ 85213

Work

Position: Machine Operators, Assemblers, and Inspectors Occupations

Business Records

Name / Title
Company / Classification
Phones & Addresses
Thomas J Trenga
Revenue Ma, Revenue Management
America West Airlines, LLC
Commercial Airline · Provide Employees to US Airways Inc · Transportaion · Scheduled Air Transportation · Scheduled Air Transportation Travel Agency · Airport/Airport Services Scheduled Air Transportation · Air Transportation, Scheduled · Airline Companies
111 W Rio Salado Pkwy, Tempe, AZ 85281
111 W Rio Salado Pkwy Legal Affairs, Tempe, AZ 85281
4000 E Sky Hbr Blvd, Phoenix, AZ 85034
4000 E Sky Hbr Blvd Corporate Secretary Office, Phoenix, AZ 85034
(480) 693-0800, (480) 693-5935, (480) 967-9154, (480) 693-5546

Publications

Us Patents

Overbooking And Cost Minimization Methods And Systems

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US Patent:
8645173, Feb 4, 2014
Filed:
Jan 18, 2012
Appl. No.:
13/352757
Inventors:
James Fox - Phoenix AZ, US
Randeep Ramamurthy - Phoenix AZ, US
Julianne Anderson - Tempe AZ, US
Arthur Busse - Tempe AZ, US
Marcial Lapp - Ann Arbor MI, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
Assignee:
US Airways, Inc. - Tempe AZ
International Classification:
G06Q 10/00
G06Q 50/00
US Classification:
705 5, 705 6
Abstract:
A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e. g. , seats). Downstream inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

Overbooking, Forecasting And Optimization Methods And Systems

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US Patent:
20130132128, May 23, 2013
Filed:
Jan 11, 2012
Appl. No.:
13/348417
Inventors:
James Fox - Phoenix AZ, US
Randeep Ramamurthy - Phoenix AZ, US
Julianne Anderson - Tempe AZ, US
Arthur Busse - Tempe AZ, US
Marcial Lapp - Ann Arbor MI, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
Assignee:
US AIRWAYS, INC. - Tempe AZ
International Classification:
G06Q 10/04
US Classification:
705 5
Abstract:
A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e.g., seats). Downstream inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

No-Show Forecast Methods And Systems

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US Patent:
20130132129, May 23, 2013
Filed:
Jan 18, 2012
Appl. No.:
13/352628
Inventors:
James Fox - Phoenix AZ, US
Randeep Ramamurthy - Phoenix AZ, US
Julianne Anderson - Tempe AZ, US
Arthur Busse - Tempe AZ, US
Marcial Lapp - Ann Arbor MI, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
Assignee:
US AIRWAYS, INC. - Tempe AZ
International Classification:
G06Q 10/04
G06Q 10/02
US Classification:
705 5
Abstract:
A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e.g., seats). Downstream inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

Dynamic Cost Analysis And Overbooking Optimization Methods And Systems

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US Patent:
20130132130, May 23, 2013
Filed:
Jan 18, 2012
Appl. No.:
13/352667
Inventors:
James Fox - Phoenix AZ, US
Randeep Ramamurthy - Phoenix AZ, US
Julianne Anderson - Tempe AZ, US
Arthur Busse - Tempe AZ, US
Marcial Lapp - Ann Arbor MI, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
Assignee:
US AIRWAYS, INC. - Tempe AZ
International Classification:
G06Q 10/02
US Classification:
705 5
Abstract:
A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e.g., seats), Downstream inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

Overbooking And Upgrade Solution Methods And Systems

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US Patent:
20130132131, May 23, 2013
Filed:
Jan 18, 2012
Appl. No.:
13/352719
Inventors:
James Fox - Phoenix AZ, US
Randeep Ramamurthy - Phoenix AZ, US
Julianne Anderson - Tempe AZ, US
Arthur Busse - Tempe AZ, US
Marcial Lapp - Ann Arbor MI, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
Assignee:
US AIRWAYS, INC. - Tempe AZ
International Classification:
G06Q 10/02
US Classification:
705 5
Abstract:
A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e.g., seats). Downstream inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

Dynamic Cost Analysis And Overbooking Optimization Methods And Systems

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US Patent:
20140032251, Jan 30, 2014
Filed:
Sep 26, 2013
Appl. No.:
14/038278
Inventors:
Randeep Ramamurthy - Phoenix AZ, US
Julianne Anderson - Tempe AZ, US
Arthur Busse - Tempe AZ, US
Marcial Lapp - Ann Arbor MI, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
International Classification:
G06Q 10/02
US Classification:
705 5
Abstract:
A computer based system for maximizing revenue by determining an optimal quantity of a product to be sold is disclosed. The system determines the optimal number of seats to be sold for a flight based upon the flight's capacity and forecasted costs associated with the flight. The forecasting is based upon probabilistic distribution models and takes into account passenger itinerary data, passenger and market historical data, whether a passenger has flown on a previous leg of an itinerary, and the ripple denied boarding effect of reaccommodating a denied passenger. The system evaluates the potential effect of double selling a unit of inventory (e.g., seats). Downstreanm inventory control, revenue management and reservations systems may use the optimization data to affect the operation of the airline.

Determining An Unobscured Demand For A Fare Class

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US Patent:
20220222692, Jul 14, 2022
Filed:
Mar 30, 2022
Appl. No.:
17/708445
Inventors:
- Fort Worth TX, US
James Fox - Tempe AZ, US
Julianne Bowles - Tempe AZ, US
Michael Costello - Tempe AZ, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
Assignee:
American Airlines, Inc. - Fort Worth TX
International Classification:
G06Q 30/02
Abstract:
A computer based system for remapping prime class seat bookings is disclosed. The system remaps prime class bookings a floor class, or if the floor class is closed, into a higher, displacement class. Via remapping, airline systems, such as inventory management systems, revenue management systems, and the like, may better account for the true value of prime class bookings.

Real-Time Probability Determined Iteratively Throughout A Period Of Time

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US Patent:
20230044327, Feb 9, 2023
Filed:
Sep 28, 2022
Appl. No.:
17/954643
Inventors:
- Fort Worth TX, US
Randeep Ramamurthy - Phoenix AZ, US
Julianne Anderson - Tempe AZ, US
Arthur Busse - Tempe AZ, US
Marcial Lapp - Ann Arbor MI, US
Daniel Muzich - Phoenix AZ, US
Thomas Trenga - Mesa AZ, US
Assignee:
American Airlines, Inc. - Fort Worth TX
International Classification:
G06Q 10/02
G06Q 10/06
G06Q 30/02
Abstract:
A system is disclosed for determining a real-time probability iteratively throughout a period of time. The system conducts an upgrade analysis by determining that an expected marginal seat revenue for a sale of an additional coach seat is greater than an expected marginal seat revenue for a sale of an additional first class seat.
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Thomas J Trenga from Mesa, AZ, age ~60 Get Report