US 11,789,438 B2
Apparatus, engine, system and method for predictive analytics in a manufacturing system
Bruce Shibuya, St. Petersburg, FL (US)
Assigned to JABIL INC., St. Petersburg, FL (US)
Filed by JABIL INC., St. Petersburg, FL (US)
Filed on Nov. 22, 2021, as Appl. No. 17/532,977.
Application 17/532,977 is a continuation of application No. 16/302,477, granted, now 11,287,809, previously published as PCT/US2017/032962, filed on May 16, 2017.
Claims priority of provisional application 62/337,006, filed on May 16, 2016.
Prior Publication US 2022/0083045 A1, Mar. 17, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 23/02 (2006.01); G05B 13/04 (2006.01)
CPC G05B 23/0283 (2013.01) [G05B 13/048 (2013.01); G05B 23/0243 (2013.01); G05B 23/0272 (2013.01); G05B 23/0289 (2013.01)] 27 Claims
OG exemplary drawing
 
1. A predictive analytics engine capable of providing real time analytics in a manufacturing system, comprising:
a data input to a processing system including at least one processor, the data input capable of receiving raw data output from at least one manufacturing machine operable to effect manufacturing in the manufacturing system;
the at least one processor being associated with a computing memory and being suitable for executing non-transitory code from the computing memory, the execution of the code causing to occur the steps of:
providing the received raw data to one or more databases stored in the computing memory which relationally form processed data related to the raw data;
extracting the processed data from the one or more databases upon identification of a type of a second manufacturing machine equivalent to the at least one manufacturing machine from which was received the raw data;
predictively modelling the extracted processed data by applying thereto at least one predictive model comprised of operational target data for the second manufacturing machine to thereby generate feedback related to the type of machine, including at least prospective first time failures for the type of machine;
modifying performance of the second and the at least one manufacturing machines based on the feedback from the predictively modelling; and
displaying to a user of at least a visualization of the feedback and of the modified performance.