Fleet analytic services toolset
A system for providing fleet analytic services for a fleet includes a fleet interface to receive fleet data associated with operation and maintenance of the fleet; a memory to store the fleet data; a processor to implement a plurality of fleet analytic services modules to process and analyze fleet data for opportunities to improve maintenance, operations, costs, readiness, health and supply/logistics; a user input/output interface to receive commands from a user and output results of the plurality of fleet analytic services modules.
1. A system for generating fleet analytic services for a fleet, the system comprising:
a fleet interface to receive fleet data associated with operation and maintenance of the fleet;
a user input/output interface to receive commands from a user and output results;
a memory for storing fleet data and having computer readable instructions; and
one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
analyzing fleet data for opportunities to improve maintenance, operations, costs, readiness, health and supply/logistics,
identifying adverse operational, maintenance, cost, and readiness drivers and trends within the fleet data based on analysis of maintenance and operations, and
generating readiness drivers of a first population of vehicles and readiness drivers of a second population of vehicles,
wherein the fleet data includes data associated with an entire fleet of vehicles or products, data associated with a single vehicle or product, or data associated with a component of a vehicle or product.
2. The system of claim 1 , wherein the one or more processors further perform operations comprising processing the fleet data and generate corrected data.
3. The system of claim 2 , wherein the one or more processors further perform operations comprising generating a data quality report indicating of at least one of missing data, data formats, data changes since a prior report and data anomalies.
4. The system of claim 2 , wherein the one or more processors further perform operations comprising calculating scoring of the corrected data in generation of the conditioned data.
5. The system of claim 1 , wherein the one or more processors further perform operations comprising generating fleet status and/or demographic information.
6. The system of claim 1 , wherein the one or more processors further perform operations comprising revealing probable root-cause(s) of adverse drivers or trends in response to fleet data.
7. The system of claim 1 , wherein the one or more processors further perform operations comprising generating cost drivers, trends and contributing factors in response to the fleet data.
8. The system of claim 1 , wherein the one or more processors further perform operations comprising determining fleet readiness drivers, trends and contributing factors in response to the fleet data.
9. The system of claim 1 , wherein the one or more processors further perform operations comprising detecting anomalies and/or adverse current and/or future conditions in the fleet data and determining feedback indicative of the anomalies.
10. The system of claim 1 , wherein the one or more processors further perform operations comprising recommending maintenance actions in response to the fleet data.
11. The system of claim 1 , wherein the one or more processors further perform operations comprising generating supply, demand, and inventory postures, and to recommend logistics, supply, repair, purchasing and/or production actions in response to the fleet data.
12. The system of claim 1 , wherein the one or more processors further perform operations comprising:
processing the fleet data and generate corrected data;
receiving the corrected data and generate conditioned data;
generating fleet status and/or demographic information in response to the conditioned data;
identifying adverse operational, maintenance, cost and readiness drivers and trends within the conditioned data;
revealing probable root-cause(s) of adverse drivers or trends in response to the conditioned data;
determining cost drivers, trends and contributing factors in response to the conditioned data;
generating fleet readiness drivers, trends and contributing factors in response to the conditioned data;
detecting anomalies and/or adverse current and/or future conditions in the conditioned data and to generate feedback indicative of the anomalies;
recommending maintenance actions in response to the conditioned data; and
supply, demand, and inventory postures, and recommending logistics, supply, repair, purchasing and/or production actions in response to the conditioned data.