Abstract: A method for analyzing machine customization costs includes receiving one or more specifications associated with a machine and identifying a machine type based on the one or more specifications. Prognostic data associated with the machine type is analyzed based on the specifications, and costs associated with operating a stock machine corresponding to the machine type is estimated based on the prognostic data analysis. A machine customization package may be assembled based on the specifications and costs associated with operating a customized machine associated with the machine customization package may be analyzed. A cost analysis report that compares estimated costs associated with operating the stock machine with estimated costs associated with operating the customized machine is provided.

Abstract: A method for determining risk associated with delaying machine maintenance includes receiving health data associated with a machine and analyzing the health data based on predetermined threshold data to detect an event alert condition. A future failure date of a machine component is then estimated based on the health data analysis. Historic productivity data associated with the machine is analyzed and a cost associated with operating the machine with the event alert condition for a predetermined amount of time is estimated. A cost associated with removing the machine from service is predicted based on historic productivity analysis. The estimated cost associated with removing the machine from service is then analyzed based on the estimated cost associated with operating the machine with the event alert condition. A machine repair recommendation indicative of the cost analysis is provided.

Abstract: A method for selective, event-based communication of machine data includes receiving, in an on-board controller, operation data associated with a component of a machine and comparing the operation data with predetermined threshold data associated with the component. An event alert is generated if the operation data is inconsistent with the predetermined threshold data. The method also includes collecting, in an operational monitoring system associated with the machine, the operation data associated with the component of the machine in response to the event alert. A diagnostic analysis of the operation data associated with the component is performed, the results of which may be to a user of the operational monitoring system.

Abstract: A performance-based job site management system for a machine environment includes a plurality of monitoring devices for collecting productivity data associated with a machine and transmitting the productivity data to an on-board data collector associated with the machine. The system also includes a project management system communicatively coupled to the on-board data collector. The project management system is configured to receive the productivity data from the on-board data collector and analyze the productivity data based on predetermined performance criteria. The system also assesses machine performance based on the productivity analysis and evaluate job site performance based on the machine performance. The system also provides recommendations for improving job site performance based on the evaluation and adjusts one or more operational aspects associated with the machine, based on the recommendations.

Abstract: A method for selective on-board processing of machine data includes receiving operation data associated with a machine and collecting the received operation data in an on-board processing unit of the machine. Required data associated with a data analysis task of the on-board processing unit may be identified and the received operation data may be analyzed based on the identified required data. The method may also include determining whether required data associated with the data analysis task is accessible by the on-board processing unit, based on the analysis. If any portion of the required data is inaccessible by the on-board processing unit, the inaccessible portion of the required data may be requested from an external system.