Alan David Colby

US Patent:

20090005927, Jan 1, 2009

Filed:

Mar 6, 2008

Appl. No.:

12/074752

Inventors:

Larry Schlatre - Baton Rouge LA, US
Alan Colby - Prairieville LA, US

International Classification:

G01M 17/00
G06F 19/00

US Classification:

701 30, 701 33

Abstract:

An method to forecast parts requirements for a vehicle or fleet of vehicles using a computer system having a host processor and a database accessible by the host processor, where the database contains vehicle specific maintenance schedules indicating recommended maintenance intervals for scheduled maintenance events, where each scheduled maintenance event has associated maintenance tasks and where associated tasks may be have one or more recommended parts. The method involves determining a forecast window, determining whether a scheduled maintenance event is to occur, and predicting parts requirements based on any scheduled maintenance events and associated tasks.

US Patent:

7356393, Apr 8, 2008

Filed:

Nov 14, 2003

Appl. No.:

10/713300

Inventors:

Larry Schlatre - Baton Rouge LA, US
Alan Colby - Baton Rouge LA, US

Assignee:

Turfcentric, Inc. - Baton Rouge LA

International Classification:

G06F 7/00
G06F 19/00

US Classification:

701 33, 701 29, 701 30, 701 36, 340438, 340439

Abstract:

An apparatus and method for managing the preventative maintenance requirements and unscheduled repairs on a fleet of vehicles. The apparatus includes a computer system having a host processor and a database accessible by the host processor, and at least one maintenance response station communicating with the host processor. The database contains vehicle specific maintenance schedules indicating recommended maintenance intervals for scheduled maintenance, where each scheduled maintenance has associated maintenance tasks. The method involves periodically receiving signals at the host processor containing maintenance trigger data associated with a specific vehicle in the fleet of vehicles, comparing the received maintenance trigger data to maintenance schedule data contained in the database, and for each comparison, determining whether maintenance is indicated, and if so, identifying the vehicle at a vehicle response station.