Caterpillar Inc.

Abhishek Ramaswamy

Rahul G Chougule

Amit Kashyap

Jeffrey Paul Sayre

Yihong Yang

Scott Antonio Zacek

Dhakshinamoorthy A Mani

Mihai Sandulescu

Prithvi Mohan

Andrew G Jirovec

Cody LeRoy Webster

Ankurkumar D Gandhi

Abdul Aziz Baig Mirza

Jeanne T Prichodko

A system for facilitating evaluation of characteristics related to quality associated with a machine design may include a user input device configured to generate a query related to one or more characteristics related to quality associated with a machine design. The system may also include a display device configured display images, and a processor in communication with the user input device and the display device. The processor may be configured to receive a query from the user input device, access data representative of the machine design, and generate image data representative of characteristics related to quality associated with the machine design. The image data may be communicated to the display device to display a machine image including a color-coded representation of at least a portion of a machine and a textual image including textual representations of information related to the machine design.

Systems and methods for facilitating evaluation of characteristics related to quality

An analytical model training method includes generating a modified set of machine repair records by associating a machine with at least one of i) one or more defects associated with the machine, ii) a repair of the one or more defects, and iii) one or more repair characteristics. An analytical model training system generates a training model based from the modified set of repair records and a set of survey records indicative of reported experience values. The system isolates at least one time-based machine operation parameter associated with machine operation from a set of machine operation records. A modified set of machine operation records is generated that includes a plurality of values associated with the at least one time-based machine operation parameter. An analytical model is configured to output an estimate of customer experience based at least partly on a second set of machine repair records.

Analytical model training method for customer experience estimation

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Karnataka, India

Abhishek Ramaswamy