System and method of managing a fleet of machines

• US 20040073468A1
• Filed: 10/10/2002
• Published: 04/15/2004
• Est. Priority Date: 10/10/2002
• Status: Abandoned Application

• Current Assignee: Caterpillar Incorporated
• Original Assignee: Caterpillar Incorporated
• Inventors: Funk, Timothy J., Vyas, Bhavin J.
• Application Number:
  US10/268,530
• Publication Number:
  US 20040073468A1
• Time in Patent Office: Days
• US Class Current: 705/8
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G07C 5/006 Indicating maintenance
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles

Abstract

A fleet management system manages a plurality of machines. The fleet manager includes a communication conduit coupled to the machines for receiving status information related to the machines and a repository coupled to the communication conduit for receiving and storing the status information. The system also includes a fleet manager controller coupled to the repository for analyzing the status information.

Claims

1. A fleet management system configured to manage a plurality of machines, comprising:

a communication conduit coupled to the machines for receiving status information related to the machines;

a repository coupled to the communication conduit for receiving and storing the status information, the repository containing historical and machine specification information; and

a fleet manager controller coupled to the repository for analyzing the status information as a function of the historical and machine specification information and responsively determining a product maintenance recommendation.

2. A fleet management system, as set forth in claim 1, wherein the fleet manager controller is further adapted to providing the product maintenance recommendation to a user.

3. A fleet management system, as set forth in claim 1, wherein the machine specification information includes a product maintenance schedule for each machine.

4. A fleet management system, as set forth in claim 3, wherein the product maintenance recommendation is a modification to the product maintenance schedule.

5. A fleet management system, as set forth in claim 3, wherein the production maintenance schedule is defined in terms of service hours.

6. A fleet management system, as set forth in claim 3, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each step including at least one recommended action.

7. A fleet management system, as set forth in claim 3, wherein the product maintenance schedule includes at least a first maintenance step and a second maintenance step, the first maintenance step includes at least one recommended action and the second maintenance step includes the at least one recommended action and at least one other recommended action.

8. A fleet management system, as set forth in claim 7, wherein the first maintenance step is scheduled at X service hours and the second maintenance step is scheduled at X service hours, where Y>

X.

9. A fleet management system, as set forth in claim 8, wherein the status information includes actual service hours.

10. A fleet management system, as set forth in claim 9, wherein the product maintenance recommendation for a specific machine is to perform the first maintenance step at X service hours if actual service hours is less than X service hours.

11. A fleet management system, as set forth in claim 10, wherein the product maintenance recommendation for the specific machine is to perform the first maintenance step if the first maintenance step has not been performed and actual service hours for the specific machine are less than (X+x), where (X+x) is less than Y.

12. A fleet management system, as set forth in claim 11, wherein the product maintenance recommendation is to perform the second maintenance step if the historical information indicates that the first maintenance step has not been performed and actual service hours for the specific machine are greater than (X+x).

13. A fleet management system, as set forth in claim 11, wherein x is equal to (Y−

X)/2.

14. A fleet management system, as set forth in claim 3, wherein the fleet manager controller is adapted to modify the product maintenance schedule in response to input from a user.

15. A fleet management system, as set forth in claim 3, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each step including at least one recommended action, and the fleet manager controller being adapted to modify the product maintenance schedule as a function of when a scheduled maintenance step was performed.

16. A fleet management system, as set forth in claim 8, wherein the service hours at which the second scheduled maintenance step is scheduled is modified as a function of an actual service hour at which the first scheduled maintenance step was performed.

17. A fleet management system, as set forth in claim 8, wherein Y is adjusted by N hours, if the first maintenance step was performed at X+N service hours.

18. A fleet management system, as set forth in claim 1, wherein the fleet manager controller is adapted to choose a subset of the plurality of machines as a function of input from a user.

19. A fleet management system, as set forth in claim 18, wherein the input is an identity of the user.

20. A fleet management system, as set forth in claim 1, wherein the fleet manager controller tracks at least one event for the plurality of machines.

21. A fleet management system, as set forth in claim 20, wherein the status information includes at least one parameter of the plurality of machines.

22. A fleet management system, as set forth in claim 21, wherein the at least one parameter is sensed by a sensor.

23. A fleet management system, as set forth in claim 21, wherein the at least one parameter is calculated.

24. A fleet management system, as set forth in claim 21, wherein the at least one event is defined by the at least one parameter with respect to a predefined value.

25. A fleet management system, as set forth in claim 24, wherein the event is defined as occurring when the parameter is above or below the predefined value.

26. A fleet management system, as set forth in claim 21, wherein the fleet manager controller being adapted to perform a trending analysis with respect to the parameter.

27. A fleet management system, as set forth in claim 4, wherein the status information includes fuel usage and the production maintenance schedule is defined in terms of fuel usage.

28. A fleet management system, as set forth in claim 20, wherein the status information includes one of a fault code, a scheduled oil sampling, a preventative maintenance, and a service meter update.

29. A fleet management system, as set forth in claim 20, wherein the fleet manager controller assigns a status code to each event.

30. A fleet management system, as set forth in claim 29, wherein the status code is one of normal, action, and monitor.

31. A fleet management system, as set forth in claim 1, wherein the status information includes service meter hours, fuel, and location.

32. A fleet management system, as set forth in claim 20, wherein the event is related to one of location and time.

33. A fleet management system, as set forth in claim 32, wherein the fleet manager controller is adapted to allow a user to define the at least one event related to the one of location and time.

34. A fleet management system, as set forth in claim 32, wherein the event is one of inclusive and exclusive.

35. A fleet management system, as set forth in claim 1, wherein the product maintenance recommendation includes at least one recommended maintenance step.

36. A fleet management system, as set forth in claim 35, wherein the fleet manager controller is adapted to allow a user to request a quote related to the recommended maintenance step.

37. A fleet management system, as set forth in claim 35, wherein the fleet manager controller is adapted to schedule the at least one recommended maintenance step.

38. A fleet management system, as set forth in claim 35, wherein the at least one recommended maintenance step is performed by another party.

39. A fleet management system, as set forth in claim 35, wherein the fleet manager controller is adapted to allow a user to mark the at least one recommended maintenance step as completed.

40. A fleet management system, as set forth in claim 35, wherein the fleet manager controller displays a list of parts required for the at least one recommended maintenance step.

41. A fleet management system, as set forth in claim 40, wherein the fleet manager controller orders the parts.

42. A fleet management system, as set forth in claim 1, wherein the fleet manager controller is adapted to analyze a utilization of the machine in response to input from a user.

43. A fleet management system, as set forth in claim 1, wherein the fleet manager controller is adapted to analyze a performance of a machine as a function of the historical data.

44. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines a severity of an application of one of the machines as a function of the status information.

45. A fleet management system, as set forth in claim 44, wherein the fleet manager controller trends inventory levels of at least one part used in performing the product maintenance recommendation to determine lost part sales opportunities.

46. A fleet management system, as set forth in claim 1, wherein the fleet manager controller trends inventory levels of at least one part used in response to the status information to determine lost sales opportunities.

47. A fleet management system, as set forth in claim 1, wherein the fleet manager controller automatically schedules equipment transportation as required in response to the status information.

48. A fleet management system, as set forth in claim 47, wherein the equipment transportation includes sending a service truck to one or more of the machines.

49. A fleet management system, as set forth in claim 47, wherein the equipment transportation is transportation to relocate one or more of the machines to a maintenance facility.

50. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines an application of at least one of the machines in response to the status information.

51. A fleet management system, as set forth in claim 50, wherein the status information includes fuel usage and power ratings information.

52. A fleet management system, as set forth in claim 50, wherein the status information includes at least one of fuel usage, power ratings and machine location information.

53. A fleet management system, as set forth in claim 50, wherein the application of machine is a level of difficulty.

54. A fleet management system, as set forth in claim 50, wherein the machine specification information includes a product maintenance schedule for the least one of the machines and the fleet manager controller automatically modifies the product maintenance schedule in response to the determined application of the at least one of the machines.

55. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines a productivity of one of the machines in response to the status information.

56. A fleet management system, as set forth in claim 54, wherein the status information includes at least one of fuel usage, power ratings and machine location information.

57. A fleet management system, as set forth in claim 1, wherein the product maintenance recommendation includes at least one recommended action and wherein at least one of the machines automatically determines when the at least one recommended action is performed.

58. A fleet management system, as set forth in claim 1, wherein the fleet manager controller provides machine operation recommendations to an operator of at least one of the machines in response to the status information.

59. A fleet management system, as set forth in claim 58, wherein the status information includes at least one of fuel usage, power ratings, machine location, and terrain maps.

60. A fleet management system, as set forth in claim 1, wherein the fleet manager controller provides terrain modification recommendations in response to the status information.

61. A fleet management system, as set forth in claim 60, wherein the status information includes at least one of fuel usage and power ratings.

62. A fleet management system, as set forth in claim 61, wherein the status information includes at least one of a machine application, a machine location, an existing terrain map.

63. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines productivity metrics for at least one of the machines.

64. A fleet management system, as set forth in claim 63, wherein the productivity metrics include where the at least one of the machines operated.

65. A fleet management system, as set forth in claim 63, wherein the productivity metrics include a material that was processed.

66. A fleet management system, as set forth in claim 63, wherein the fleet manager controller displays a site map.

67. A fleet management system, as set forth in claim 1, wherein the fleet manager controller manages fleet operation in response to the status information.

68. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines utilization of at least one of the machines as a function of the status information.

69. A fleet management system, as set forth in claim 68, wherein the fleet manager controller manages fleet operation in response to the determined utilization.

70. A fleet management system, as set forth in claim 68, wherein the fleet manager controller analyzes fleet size in response to the determined utilization.

71. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines an operating cost associated with at least one of the machines.

72. A fleet management system, as set forth in claim 71, wherein the operating cost is determined as a function of a default operating cost associated with the at least one of the machines.

73. A fleet management system, as set forth in claim 71, wherein the operating cost is determined as a function of an operating environment associated with the at least one of the machines.

74. A fleet management system, as set forth in claim 71, wherein the operating cost is determined as a function of an application of the at least one of the machines.

75. A fleet management system, as set forth in claim 71, wherein the operating cost is determined as a function of at least one of a fuel usage, a maintenance cost, and a cost associated with machine downtime.

76. A fleet management system, as set forth in claim 71, wherein the fleet manager controller determines a revenue associated with the at least one of the machines as a function of the operating cost associated with the at least one of the machines.

77. A fleet management system, as set forth in claim 76, wherein the fleet manager controller determines a productivity associated with the at least one of the machines and the revenue associated with the at least one of the machines is determined as a function of the productivity.

78. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines a bid for a project in response to the status information.

79. A fleet management system, as set forth in claim 78, wherein the fleet manager controller determines an operating cost and the bid is determined as a function of the operating cost.

80. A fleet management system, as set forth in claim 79, wherein the operating cost is associated with the machines to be used in the project.

81. A fleet management system, as set forth in claim 79, wherein the operating cost is determined as a function of an environment associated with the project.

82. A fleet management system, as set forth in claim 79, wherein the operating cost is determined as a function of a climate associated with the project.

83. A fleet management system, as set forth in claim 79, wherein the operating cost is determined as a function of an application associated with the project.

84. A fleet management system, as set forth in claim 78, wherein the fleet manager determines a productivity and the bid is determined as a function of the productivity.

85. A fleet management system, as set forth in claim 84, wherein the productivity is associated with the machines to be used in the project.

86. A fleet management system, as set forth in claim 84, wherein the productivity is determined as function of en environment associated with the project.

87. A fleet management system, as set forth in claim 84, wherein the productivity is determined as a function of a climate associated with the project.

88. A fleet management system, as set forth in claim 84, wherein the productivity is determined as a function of an application associated with the project.

89. A fleet management system, as set forth in claim 78, wherein the fleet manager controller determines a productivity associated with the machines and determines a fleet of machines to be used on the project as a function of the productivity.

90. A fleet management system, as set forth in claim 89, wherein the bid is determined as a function of the fleet of machines.

91. A fleet management system, as set forth in claim 90, wherein the fleet manager controller determines an operating cost associated with the fleet of machines and the bid is determined as a function of the operating cost.

92. A fleet management system, as set forth in claim 91, wherein the fleet manager controller determines an estimate of machine availability based upon projected maintenance issues.

93. A fleet management system, as set forth in claim 1, wherein the fleet manager controller includes a simulator for receiving the status information for simulating work site activities, the fleet manager controller being adapted to analyze fleet size based on the simulation.

94. A fleet management system, as set forth in claim 1, wherein the fleet manager allows text messaging between multiple machines.

95. A fleet management system, as set forth in claim 1, wherein the fleet manager controller determines an operator efficiency based on the status information.

96. A fleet management system, as set forth in claim 95, wherein the status information includes at least one of an operating speed, a fuel usage, and machine movements.

97. A fleet management system, as set forth in claim 1, wherein the fleet manager controller visually notifies a user of upcoming invoice payments.

98. A fleet management system, as set forth in claim 1, wherein the fleet manager controller monitors weather conditions and manages the machines as a function of the weather conditions.

99. A fleet management system, as set forth in claim 1, wherein the product maintenance recommendation includes at least one recommended action and wherein the fleet manager controller automatically determines when the at least one recommended action has been completed.

192. A method, as set forth in claim 64, including the step of determining an operating cost associated with at least one of the machines.

193. A method, as set forth in claim 192, wherein the operating cost is determined as a function of a default operating cost associated with the at least one of the machines.

194. A method, as set forth in claim 192, wherein the operating cost is determined as a function of an operating environment associated with the at least one of the machines.

195. A method, as set forth in claim 192, wherein the operating cost is determined as a function of an application of the at least one of the machines.

196. A method, as set forth in claim 192, wherein the operating cost is determined as a function of at least one of a fuel usage, a maintenance cost, and a cost associated with machine downtime.

197. A method, as set forth in claim 192, including the step of determining a revenue associated with the at least one of the machines as a function of the operating cost associated with the at least one of the machines.

198. A method, as set forth in claim 197, including the step of determining a productivity associated with the at least one of the machines and the revenue associated with the at least one of the machines is determined as a function of the productivity.

100. A fleet management system for managing a plurality of machines, comprising:

a communication conduit coupled to the machines for receiving status information related to the machines;

a repository coupled to the communication conduit for receiving and storing the status information, the repository containing historical and machine specification information, the machine specification information including a product maintenance schedule for each machine; and

,

a fleet manager controller coupled to the repository for analyzing the status information as a function of the historical and machine specification information and responsively modify the product maintenance schedule.

101. A fleet management system, as set forth in claim 101, wherein the production maintenance schedule is defined in terms of service hours.

102. A fleet management system, as set forth in claim 101, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each step including at least one recommended action.

103. A fleet management system, as set forth in claim 101, wherein the product maintenance schedule includes at least a first maintenance step and a second maintenance step, the first maintenance step includes at least one recommended action and the second maintenance step includes the at least one recommended action and at least one other recommended action.

104. A fleet management system, as set forth in claim 103, wherein the first maintenance step is scheduled at X service hours and the second maintenance step is scheduled at X service hours, where Y>

X.

105. A fleet management system, as set forth in claim 104, wherein the status information includes actual service hours.

106. A fleet management system, as set forth in claim 105, wherein the product maintenance recommendation for a specific machine (102) is to perform the first maintenance step at X service hours if actual service hours is less than X service hours.

107. A fleet management system, as set forth in claim 106, wherein the product maintenance recommendation for the specific machine is to perform the first maintenance step if the historical information indicates that the first maintenance step has not been performed and actual service hours for the specific machine are less than (X+x), where (X+x) is less than Y.

108. A fleet management system, as set forth in claim 107, wherein the product maintenance recommendation is to perform the second maintenance step if the first maintenance step has not been performed and actual service hours for the specific machine are greater than (X+x).

109. A fleet management system, as set forth in claim 107, wherein x is equal to (Y-X)/2.

110. A fleet management system, as set forth in claim 101, wherein the fleet manager controller is adapted to modify the product maintenance schedule in response to input from a user.

111. A fleet management system, as set forth in claim 101, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each step including at least one recommended action, and the fleet manager controller being adapted to modify the product maintenance schedule as a function of when a schedule maintenance step was performed.

112. A fleet management system, as set forth in claim 103, wherein the service hours at which the second scheduled maintenance step is scheduled is modified as a function of an actual service hour at which the first scheduled maintenance step was performed.

113. A fleet management system, as set forth in claim 112, wherein Y is adjusted by N hours, if the first maintenance step was performed at X+N service hours.

114. A fleet management system for managing a plurality of machines, comprising:

a communication conduit coupled to the machines for receiving status information related to the machines;

a repository coupled to the communication conduit for receiving and storing the status information, the repository containing historical and machine specification information; and

,

a fleet manager controller analyzing the status information as a function of the historical and machine specification information and tracking at least one event for the plurality of machines, the event being related to one of location and time.

115. A fleet management system, as set forth in claim 114, wherein the fleet manager controller is adapted to allow a user to define the at least one event related to the one of location and time.

116. A fleet management system, as set forth in claim 115, wherein the event is one of inclusive and exclusive.

117. A computer program product for managing a plurality of machines, comprising:

computer readable program code means for receiving status information related to the machines;

computer readable program code means for receiving and storing the status information in a repository, the repository containing historical and machine specification information; and

,

computer readable program code means for analyzing the status information as a function of the historical and machine specification information and responsively determining a product maintenance recommendation.

118. A computer program product for managing a plurality of machines, comprising:

computer readable program code means for receiving status information related to the machines;

computer readable program code means for receiving and storing the status information in a repository, the repository containing historical and machine specification information, the machine specification information including a product maintenance schedule for each machine; and

,

computer readable program code means for analyzing the status information as a function of the historical and machine specification information and responsively modifying the product maintenance schedule.

119. A computer program product for managing a plurality of machines, comprising:

computer readable program code means for receiving status information related to the machines;

computer readable program code means for receiving and storing the status information in a repository, the repository containing historical and machine specification information; and

,

computer readable program code means for analyzing the status information as a function of the historical and machine specification information and tracking at least one event for the plurality of machines, the event being related to one of location and time.

120. A method for managing a plurality of machines, including the steps of:

establishing status information related to the machines;

receiving and storing the status information at a repository, the repository containing historical and machine specification information; and

,

analyzing the status information as a function of the historical and machine specification information and responsively determining a product maintenance recommendation.

121. A method, as set forth in claim 120, including the step of providing the product maintenance recommendation to a user.

122. A method, as set forth in claim 120, wherein the machine specification information includes a product maintenance schedule for each machine.

123. A method, as set forth in claim 122, wherein the product maintenance recommendation is a modification to the product maintenance schedule.

124. A method, as set forth in claim 122, wherein the production maintenance schedule is defined in terms of service hours.

125. A method, as set forth in claim 122, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each scheduled maintenance step including at least one recommended action.

126. A method, as set forth in claim 122, wherein the product maintenance schedule includes at least a first maintenance step and a second maintenance step, the first maintenance step includes at least one recommended action and the second maintenance step includes the at least one recommended action and at least one other recommended action.

127. A method, as set forth in claim 126, wherein the first maintenance step is scheduled at X service hours and the second maintenance step is scheduled at Y service hours, where Y>

X.

128. A method, as set forth in claim 127, wherein the status information includes actual service hours.

129. A method, as set forth in claim 128, wherein the product maintenance recommendation for a specific machine is to perform the first maintenance step at X service hours if actual service hours is less than X service hours.

130. A method, as set forth in claim 129, wherein the product maintenance recommendation for the specific machine is to perform the first maintenance step if the first maintenance step has not been performed and actual service hours for the specific machine are less than (X+x), where (X+x) is less than Y.

131. A method, as set forth in claim 130, wherein the product maintenance recommendation is to perform the second maintenance step if the first maintenance step has not been performed and actual service hours for the specific machine are greater than (X+x).

132. A method, as set forth in claim 130, wherein x is equal to (Y−

X)/2.

133. A method, as set forth in claim 122, including the step of modifying the product maintenance schedule in response to input from a user.

134. A method, as set forth in claim 122, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each step including at least one recommended action, and the method includes the step of modifying the product maintenance schedule as a function of when a scheduled maintenance step was performed.

135. A method, as set forth in claim 127, including the step of modifying the service hour at which the second scheduled maintenance step is scheduled as a function of an actual service hour at which the first scheduled maintenance step was performed.

136. A method, as set forth in claim 127, wherein Y is adjusted by N hours, if the first maintenance step was performed at X+N service hours.

137. A method, as set forth in claim 120, including the step choosing a subset of the plurality of machines as a function of input from a user.

138. A method, as set forth in claim 137, wherein the input is an identity of the user.

139. A method, as set forth in claim 120, including the step of tracking at least one event for the plurality of machines.

140. A method, as set forth in claim 139, wherein the status information includes at least one parameter of the plurality of machines.

141. A method, as set forth in claim 140, wherein the at least one parameter is sensed by a sensor.

142. A method, as set forth in claim 140, wherein the at least one parameter is calculated.

143. A method, as set forth in claim 140, wherein the at least one event is defined by the at least one parameter with respect to a predefined value.

144. A method, as set forth in claim 143, wherein the event is defined as occurring when the parameter is above or below the predefined value.

145. A method, as set forth in claim 140, including the step of performing a trending analysis with respect to the parameter.

146. A method, as set forth in claim 120, wherein the status information includes fuel usage and the production maintenance schedule is defined in terms of fuel usage.

147. A method, as set forth in claim 139, wherein the status information includes one of a fault code, a scheduled oil sampling, a preventative maintenance, and a service meter update.

148. A method, as set forth in claim 139, including the step of assigning a status code to each event.

149. A method, as set forth in claim 148, wherein the status code is one of normal, action, and monitor.

150. A method, as set forth in claim 120, wherein the status information includes service meter hours, fuel, and location.

151. A method, as set forth in claim 139, wherein the event is related to one of location and time.

152. A method, as set forth in claim 151, including the step of the defining, by a user, the at least one event related to the one of location and time.

153. A method, as set forth in claim 151, wherein the event is one of inclusive and exclusive.

154. A method, as set forth in claim 120, wherein the product maintenance recommendation includes at least one recommended maintenance step.

155. A method, as set forth in claim 154, including the step of requesting, by a user, a quote related to the recommended maintenance step.

156. A method, as set forth in claim 154, including the step of scheduling, by a user, the at least one recommended maintenance step.

157. A method, as set forth in claim 154, wherein the at least one recommended maintenance step is performed by another party.

158. A method, as set forth in claim 154, including the step of marking, by a user, the at least one recommended maintenance step as completed.

159. A method, as set forth in claim 154, including the step of displaying a list of parts required for the at least one recommended maintenance step.

160. A method, as set forth in claim 159, including the step of ordering, by a user, the parts.

161. A method, as set forth in claim 159, including the step of automatically ordering the parts.

162. A method, as set forth in claim 161, wherein the step of automatically ordering the parts includes the steps of:

reviewing a parts inventory of the parts; and

ordering the parts if the inventory drops below a predetermined threshold.

163. A method, as set forth in claim 120, including the step of analyzing a utilization of the machine as a function of the historical data.

164. A method, as set forth in claim 120, including the step of analyzing a performance of a machine as a function of the historical data.

165. A method, as set forth in claim 120, including the step of determining a severity of an application of one of the machines as a function of the status information.

166. A method, as set forth in claim 165, including the step of trending inventory levels of at least one part used in performing the product maintenance recommendation to determine lost part sales opportunities.

167. A method, as set forth in claim 120, including the step of trending inventory levels of at least one part used in response to the status information to determine lost sales opportunities.

168. A method, as set forth in claim 120, including the step of automatically scheduling equipment transportation as required in response to the status information.

169. A method, as set forth in claim 168, wherein the equipment transportation includes sending a service truck to one or more of the machines.

170. A method, as set forth in claim 168, wherein the equipment transportation is a transportation to relocate one or more of the machines to a maintenance facility.

171. A method, as set forth in claim 120, including the step of determining an application of at least one of the machines in response to the status information.

172. A method, as set forth in claim 171, wherein the status information includes fuel usage and power ratings information.

173. A method, as set forth in claim 171, wherein the status information includes at least one of fuel usage, power ratings and machine location information.

174. A method, as set forth in claim 171, wherein the application of machine is a level of difficulty.

175. A method, as set forth in claim 171, wherein the machine specification information includes a product maintenance schedule for the least one of the machines and the method includes the step of automatically modifying the product maintenance schedule in response to the determined application of the at least one of the machines.

176. A method, as set forth in claim 120, including the step determining a productivity of one of the machines in response to the status information.

177. A method, as set forth in claim 176, wherein the status information includes at least one of fuel usage, power ratings and machine location information.

178. A method, as set forth in claim 120, wherein the product maintenance recommendation includes at least one recommended action and the method includes the step of automatically determining, by the at least one of the machines, when the at least one recommended action is performed.

179. A method, as set forth in claim 120, including the step of providing machine operation recommendations to an operator of at least one of the machines in response to the status information.

180. A method, as set forth in claim 179, wherein the status information includes at least one of fuel usage, power ratings, machine location, and terrain maps. fleet manager controller.

181. A method, as set forth in claim 120, including the step of providing terrain modification recommendations in response to the status information.

182. A method, as set forth in claim 181 wherein the status information includes at least one of fuel usage and power ratings.

183. A method, as set forth in claim 181, wherein the status information includes at least one of a machine application, a machine location, an existing terrain map.

184. A method, as set forth in claim 120, including the step of determining productivity metrics for at least one of the machines.

185. A method (700), as set forth in claim 184, wherein the productivity metrics include where the at least one of the machines operated.

186. A method, as set forth in claim 184, wherein the productivity metrics include a material that was processed.

187. A method, as set forth in claim 184, including the step of displaying a site map.

188. A method, as set forth in claim 120, wherein including the step of managing fleet operation in response to the status information.

189. A method, as set forth in claim 120, including the step of determining utilization of at least one of the machines as a function of the status information.

190. A method, as set forth in claim 189, including the step of managing fleet operation in response to the determined utilization.

191. A method, as set forth in claim 189, including the step of analyzing fleet size in response to the determined utilization.

199. A method, as set forth in claim 120, including the step of determining a bid for a project in response to the status information.

200. A method, as set forth in claim 199, including the step of determining an operating cost and the bid is determined as a function of the operating cost.

201. A method, as set forth in claim 200, wherein the operating cost is associated with the machines to be used in the project.

202. A method, as set forth in claim 200, wherein the operating cost is determined as a function of an environment associated with the project.

203. A method, as set forth in claim 200, wherein the operating cost is determined as a function of a climate associated with the project.

204. A method, as set forth in claim 200, wherein the operating cost is determined as a function of an application associated with the project.

205. A method, as set forth in claim 199, including the step of determining a productivity, wherein the bid is determined as a function of the productivity.

206. A method, as set forth in claim 205, wherein the productivity is associated with the machines to be used in the project.

207. A method, as set forth in claim 205, wherein the productivity is determined as function of en environment associated with the project.

208. A method, as set forth in claim 205, wherein the productivity is determined as a function of a climate associated with the project.

209. A method, as set forth in claim 205, wherein the productivity is determined as a function of an application associated with the project.

210. A method, as set forth in claim 199, including the step of determining a productivity associated with the machines and determines a fleet of machines to be used on the project as a function of the productivity.

211. A method, as set forth in claim 210, wherein the bid is determined as a function of the fleet of machines.

212. A method, as set forth in claim 211, including the step of determining an operating cost associated with the fleet of machines and the bid is determined as a function of the operating cost.

213. A method, as set forth in claim 212, including the step of determining an estimate of machine availability based upon projected maintenance issues.

214. A method, as set forth in claim 120, including the steps of simulating work site activities and analyzing fleet size based on the simulation.

215. A method, as set forth in claim 120, including the step of providing text messaging between multiple machines.

216. A method, as set forth in claim 120, including the step of determining an operator efficiency based on the status information.

217. A method, as set forth in claim 216, wherein the status information includes at least one of an operating speed, a fuel usage, and machine movements.

218. A method, as set forth in claim 120, including the step of visually notifying a user of upcoming invoice payments.

219. A method, as set forth in claim 120, including the steps of monitoring weather conditions and managing the machines as a function of the weather conditions.

220. A method, as set forth in claim 120, wherein the product maintenance recommendation includes at least one recommended action and the method includes the step automatically determining when the at least one recommended action has been completed.

221. A method for managing a plurality of machines, including the steps of:

establishing status information related to the machines;

receiving and storing the status information in a repository, the repository containing historical and machine specification information, the machine specification information including a product maintenance schedule for each machine; and

,

analyzing the status information as a function of the historical and machine specification information and responsively modifying the product maintenance schedule.

222. A method, as set forth in claim 221, wherein the production maintenance schedule is defined in terms of service hours.

223. A method, as set forth in claim 221, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each step including at least one recommended action.

224. A method, as set forth in claim 221, wherein the product maintenance schedule includes at least a first maintenance step and a second maintenance step, the first maintenance step includes at least one recommended action and the second maintenance step includes the at least one recommended action and at least one other recommended action.

225. A method, as set forth in claim 224, wherein the first maintenance step is scheduled at X service hours and the second maintenance step is scheduled at Y service hours, where Y>

X.

226. A method, as set forth in claim 225, wherein the status information includes actual service hours.

227. A method, as set forth in claim 225, wherein the product maintenance recommendation for a specific machine is to perform the first maintenance step at X service hours if actual service hours is less than X service hours.

228. A method, as set forth in claim 227, wherein the product maintenance recommendation for the specific machine is to perform the first maintenance step if the first maintenance step has not been performed and actual service hours for the specific machine are less than (X+x), where (X+x) is less than Y.

229. A method, as set forth in claim 228, wherein the product maintenance recommendation is to perform the second maintenance step if the first maintenance step has not been performed and actual service hours for the specific machine are greater than (X+x).

230. A method, as set forth in claim 228, wherein x is equal to (Y−

X)/2.

231. A method (800), as set forth in claim 221, including the step of modifying the product maintenance schedule in response to input from a user (114).

232. A method, as set forth in claim 221, wherein the product maintenance schedule includes a plurality of scheduled maintenance steps, each step including at least one recommended action, the method including the step of modifying the product maintenance schedule as a function of when a schedule maintenance step was performed.

233. A method, as set forth in claim 225, wherein the service hours at which the second scheduled maintenance step is scheduled is modified as a function of an actual service hour at which the first scheduled maintenance step was performed.

234. A method, as set forth in claim 225, wherein Y is adjusted by N hours, if the first maintenance step was performed at X+N service hours.

235. A method for managing a plurality of machines, including the steps of:

establishing status information related to the machines;

receiving and storing the status information in a repository, the repository containing historical and machine specification information; and

,

analyzing the status information as a function of the historical and machine specification information and tracking at least one event for the plurality of machines, the event being related to one of location and time.

236. A method, as set forth in claim 235, including the step of defining, by a user, the at least one event related to the one of location and time.

237. A method, as set forth in claim 236, wherein the event is one of inclusive and exclusive.