US 12,118,491 B2
Rapid operational analysis application for supply chain management
Ali Hussan Raza, Breinigsville, PA (US); Bhaskar Subbarao Ballapragada, Sammamish, WA (US); Seth Rom Page, Mountain View, CA (US); and Anzar Kamdar, Poznan (PL)
Assigned to ThroughPut, Inc., Palo Alto, CA (US)
Appl. No. 17/636,102
Filed by ThroughPut, Inc., Palo Alto, CA (US)
PCT Filed Sep. 11, 2020, PCT No. PCT/US2020/050297
§ 371(c)(1), (2) Date Feb. 17, 2022,
PCT Pub. No. WO2021/050806, PCT Pub. Date Mar. 18, 2021.
Claims priority of provisional application 62/899,800, filed on Sep. 13, 2019.
Prior Publication US 2022/0358423 A1, Nov. 10, 2022
Int. Cl. G06Q 10/0633 (2023.01); G06Q 10/0631 (2023.01)
CPC G06Q 10/0633 (2013.01) [G06Q 10/06313 (2013.01)] 17 Claims
OG exemplary drawing
 
1. An improved industrial process comprising:
receiving in a processor a plurality of data items related to an industrial process, each data item being time stamped so that each data item includes time stamp and industrial process data regarding an industrial process occurring at a time;
analyzing the plurality of data items in a processor via a plurality of rules, the analyzing identifying deviations of at least one variable of the plurality of data items from a mean value of the variable, the at least one variable representing manufactured parts having defects, the analyzing including identifying duplicates, null values, negative values and/or outliers;
setting a statistical control parameter as an achievable quantity for the at least one variable;
identifying the plurality of data items where the at least one variable exceeds the statistical control parameter to define at least one excess of defective manufactured parts; and
eliminating the at least one excess of defective manufactured parts by shifting resources for manufacturing the parts related to the at least one quantity, the shifting being a function of the analyzing of the plurality of data items.