Caterpillar Inc.

Chau Le

Chris Ha

Tony Ross Metzger

Christopher Ha

A method for dynamically creating and validating a predictive analytics model to transform data into actionable insights the method comprising: identifying an event, selectively tagging, based on analytics expertise, at least one time series data area (data area), where the identified event occurred, comparing data area where the identified event is tagged with the data area where the identified event is not tagged, building, based on analytics expertise, the predictive analytics model embodying the classification generated by selective tagging, displaying the visual indicia generated by executing the predictive analytics model, and validating the predictive model based on a feedback from at least one domain expert.

Collaborative system and method for validating equipment failure models in an analytics crowdsourcing environment

A device for managing material delivery productivity is disclosed. The device may receive information identifying a job site, a load zone, a dump zone, a quantity of loads, and a material. The device may provide, to a user device associated with a machine, information indicating that the load zone, the dump zone, the quantity of loads, and the material are assigned to the machine, and may receive, over a time period, location information associated with the machine. The device may determine statuses of the machine over the time period and based on the location information, and may calculate a dump count of the material and a quantity of material delivery cycles, for the machine and at a particular time, based on the statuses of the machine. The device may perform an action based on the dump count of the material and the quantity of material delivery cycles.

Managing material delivery productivity

A device for managing material handling productivity is disclosed. The device may receive information identifying a moving zone for a job site, a quantity of loads for the moving zone, and a material for the moving zone, and may identify a first machine, from multiple machines, to assign to the moving zone, the quantity of loads, and the material. The device may provide, to a first user device associated with the first machine, information indicating that the moving zone, the quantity of loads, and the material are assigned to the first machine. The device may receive, from the first user device, location information associated with the first user device and the first machine, and may provide the location information to a second user device, associated with a second machine, to enable the second machine to travel to the first machine.

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Urbana, IL, United States of America

Chau Le