United States Senate
Counsel Detailee
Uspto
Associate Solicitor
Klarquist Sparkman, Llp Dec 2010 - Nov 2015
Attorney
U.s. Court of Appeals Mar 2007 - Aug 2008
Law Clerk To Circuit Judge Richard Linn
Kirkland & Ellis Llp 2006 - 2007
Associate
Education:
The George Washington University Law School 2003 - 2006
Doctor of Jurisprudence, Doctorates, Law
The University of Akron 1997 - 2001
Bachelors, Bachelor of Arts, Bachelor of Science, Computer Science, Philosophy
Gary R. Kocis - Vienna VA, US Kevin C. Furman - Glen Gardner NJ, US Philip H. Warrick - Oakton VA, US Mark E. Osmer - Montclair VA, US Thomas A. Wheaton - Alexandria VA, US
Assignee:
ExxonMobil Research & Engineering Company - Annandale NJ
International Classification:
G06Q 10/00 G06Q 30/00 G06F 17/00 G06G 7/00
US Classification:
705 11, 705330, 705400
Abstract:
A computer modeling application is disclosed for finding the optimal solution to maximize total net margin, for the assignment of vehicles (e. g. , especially vessels) in an available fleet to perform a set of voyages to transport cargo comprising one or more bulk products during a planning period, as well as an apparatus and method employing the same. The fleet can include term vehicles and spot vehicles. The vehicles, voyages, and cargos can be heterogeneous. In one embodiment, the vehicles are crude carrier vessels and the bulk products are different grades of crude oil. To increase speed, the model is broken into linear programming and mixed integer (linear) programming problems. The model can be run on a real-time basis to support complex scheduling operations.
Gary R. Kocis - Vienna VA, US Kevin C. Furman - Houston TX, US Philip H. Warrick - Oakton VA, US Mark E. Osmer - Montclair VA, US Thomas A. Wheaton - Houston TX, US
Assignee:
ExxonMobil Research and Engineering Company - Annandale NJ
International Classification:
G06Q 30/00 G06Q 10/00 G06F 17/00 G06G 7/00
US Classification:
705337, 705 11, 705400, 705 735
Abstract:
A computer modeling application is disclosed for finding the optimal solution to maximize total net margin, for the assignment of vehicles (e. g. , especially vessels) in an available fleet to perform a set of voyages to transport cargo comprising one or more bulk products during a planning period, as well as an apparatus and method employing the same. The fleet can include term vehicles and spot vehicles. The vehicles, voyages, and cargos can be heterogeneous. In one embodiment, the vehicles are crude carrier vessels and the bulk products are different grades of crude oil. To increase speed, the model is broken into linear programming and mixed integer (linear) programming problems. The model can be run on a real-time basis to support complex scheduling operations.
Gary R. KOCIS - Vienna VA, US Kevin C. Furman - Houston TX, US Mark Osmer - Montclair VA, US Jin-Hwa Song - Whitehouse Station NJ, US Philip H. Warrick - Oakton VA, US Thomas A. Wheaton - Alexandria VA, US LeonaAnn Chua - Singapore, SG Felix Liok - Singapore, SG
Assignee:
ExxonMobil Research and Engineering Company - Annandale NJ
International Classification:
G06Q 10/00 G06Q 50/00
US Classification:
705 28, 705338
Abstract:
A method and apparatus for optimal transporting of cargo is provided. The method includes optimizing a plurality of transportation decisions and mechanically transporting cargo through movement of a plurality of vehicles in accordance with a set of optimized transportation decisions. The decisions include transportation routes and schedules for the transportation vehicles, allocation of cargo to be transported to one or more demand locations by the transportation vehicles, nomination of cargo pickup by the transportation vehicles from the one or more supply locations, the use of specialized transportation locations, and vehicle assignments for each of the transportation vehicles. The set of decisions is optimized by collecting data relating to the various transportation decisions, using the data collected as part of a mixed integer linear programming model, and obtaining a solution to the model to arrive at a set of optimized transportation decisions.
Tools For Assisting In Petroleum Product Transportation Logistics
Jayanth BALASUBRAMANIAN - Fairfax VA, US Nicolas SAWAYA - New Brunswick NJ, US Kevin C. FURMAN - Houston TX, US Gary R. KOCIS - Vienna VA, US Michael F. MARGOLIES - Vienna VA, US Merryl J. MIRANDA - Falls Church VA, US Michael K. MCDONALD - Burke VA, US Jin-Hwa SONG - Whitehouse Station NJ, US Philip H. WARRICK - Oakton VA, US
Assignee:
EXXONMOBIL RESEARCH AND ENGINEERING COMPANY - Annandale NJ
International Classification:
G06Q 10/00 G06Q 90/00
US Classification:
705 7, 705500
Abstract:
A tool to assist decision-making in the logistics of bulk product transportation. For example, the tool may be used to solve a problem involving the transportation and the inventory management of crude oil, in which the transportation of crude oil between supply ports and discharge ports are performed by a fleet of ships. The tool is capable of handling a typical petroleum product transportation problem, which can be quite complex. The tool uses advanced modeling and optimization technology to find a solution (either optimal or near optimal) for the allocation of bulk products, vehicle routing, vehicle scheduling, and/or bulk product blending operations.
Modeling Tool For Planning The Operation Of Refineries
Gary R. KOCIS - Vienna VA, US Philip H. WARRICK - Oakton VA, US Victor P. DePAOLA - Vienna VA, US
Assignee:
EXXONMOBIL RESEARCH AND ENGINEERING COMPANY - Annandale NJ
International Classification:
G06F 17/11
US Classification:
700100
Abstract:
A modeling tool for determining the operation of a production facility. A variety of different activities can be modeled by the present invention, including (a) feed material selection, including quantity and timing, (b) product sales, including quantity and timing, (c) process operations, including process conditions and timing, (d) blending operations, including process conditions and timing, and/or (e) inventory management. The modeling tool may represent time using continuous-time, discrete-time, asynchronous time periods, synchronous time periods, and combinations of these various approaches.
Philip H. WARRICK - Oakton VA, US Gary R. KOCIS - Vienna VA, US Jayanth BALASUBRAMANIAN - Fairfax VA, US David C. SMITH - Southampton, GB
Assignee:
EXXONMOBIL RESEARCH AND ENGINEERING COMPANY - Annandale NJ
International Classification:
G06Q 10/06
US Classification:
705 736
Abstract:
A decision support tool to assist decision-making in the operation of a facility. The decision support tool allows the user to compare the performance of different strategies for the operation of the facility so that the organization can make better-informed judgments about which approach to use. The decision support tool can also allow for the modification of strategies to improve their performance.
Philip H. WARRICK - Oakton VA, US Anantha SUNDARAM - Annandale NJ, US Victor P. DePAOLA - Vienna VA, US Jayanth BALASUBRAMANIAN - Fairfax VA, US Stephen R. BRADSHAW - Southampton, GB Gary Robert KOCIS - Vienna VA, US Joseph W. EVANS - McLean VA, US Nicholas J. BOOKER - Falls Church VA, US George E. FRIEDRICH - Kingwood TX, US Eric A. WINKLER - Oakton VA, US
Assignee:
ExxonMobil Research and Engineering Company - Annandale NJ
International Classification:
G05B 19/418 G06N 5/04
Abstract:
A decision support tool to assist decision-making in the operation of a facility. The decision support tool allows a user to perform operational programming of the facility so that the analysis of specific operational events is flexible and “on-demand.” This is achieved by allowing the user to set scope and timeframe of the analysis according to business needs. As a result, the organization can make better-informed judgments whether to add operational activities and how to adjust the ones already formulated in the program. The decision support tool can also allow for the application of strategies to communicate intent behind the programming instructions and to improve the quality of business decisions.
Modeling Tool For Planning The Operation Of Refineries
Gary R. KOCIS - Vienna VA, US Philip H. Warrick - Oakton VA, US Victor P. DePaola - Vienna VA, US
Assignee:
ExxonMobil Research and Engineering Company - Annandale NJ
International Classification:
G05B 13/04 G06F 17/50
US Classification:
700 97
Abstract:
A modeling tool for determining the operation of a production facility. A variety of different activities can be modeled by the present invention, including (a) feed material selection, including quantity and timing, (b) product sales, including quantity and timing, (c) process operations, including process conditions and timing, (d) blending operations, including process conditions and timing, and/or (e) inventory management. The modeling tool may represent time using continuous-time, discrete-time, asynchronous time periods, synchronous time periods, and combinations of these various approaches.
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