Vikas Goel

US Patent:

20050144062, Jun 30, 2005

Filed:

Dec 29, 2003

Appl. No.:

10/747328

Inventors:

Manish Mittal - New Delhi, IN
Vikas Goel - Jersey City NJ, US

International Classification:

G06F017/60

US Classification:

705010000

Abstract:

A system is disclosed for implementing a corporate business continuity plan in which a plurality of governance rules are maintained and updated for one or more business locations. The governance rules establish business continuity responsibilities that are, in turn, assigned to designated employees for periodic or occasional action. Each designated employee is responsible for performing their assigned business continuity responsibilities and submitting statuses of such responsibilities to the system according to established timelines. One or more business continuity readiness indicators are then generated based on the submitted statuses.

US Patent:

20150178649, Jun 25, 2015

Filed:

Nov 21, 2014

Appl. No.:

14/550458

Inventors:

Kevin C. Furman - Morristown NJ, US
Vikas Goel - Houston TX, US
Joshua R. Lowry - Spring TX, US
Yufen Shao - Houston TX, US

International Classification:

G06Q 10/06

Abstract:

A system, including: a memory that stores computer executable instructions; and processing circuitry that executes the instructions in order to, generate a graphical user interface, which includes an intelligent Gantt chart that displays a working schedule of a task assigned to a resource, receive a command to change the working schedule, integrate the change into the working schedule, and update and display a performance metric based on the change.

US Patent:

20140324727, Oct 30, 2014

Filed:

Nov 15, 2012

Appl. No.:

14/358682

Inventors:

- Houston TX, US
Kevin C. Furman - Morristown NJ, US
Vikas Goel - Houston TX, US
Nicolas Sawaya - Houston TX, US

International Classification:

G06Q 10/08
G06F 17/50

US Classification:

705338

Abstract:

A method of simulating shipping of liquefied natural gas (LNG) is provided. An LNG supply chain is modeled with a plurality of decision-making modules. The plurality of decision-making modules are configured to capture behavior of various elements of the LNG supply chain. Data representing a current state of at least a portion of the LNG supply chain is entered into a computer-based simulation system. Optimization techniques are employed with the plurality of decision-making modules to prescribe operations decisions for each element of the LNG supply chain. A simulation of the LNG supply chain is run using the plurality of decision-making modules, the data, and the optimization techniques. An LNG shipping schedule is outputted.