US 12,140,938 B2
Manufacturing a product using causal models
Brian E. Brooks, St. Paul, MN (US); Gilles J. Benoit, Minneapolis, MN (US); Peter O. Olson, Andover, MN (US); Tyler W. Olson, Woodbury, MN (US); Himanshu Nayar, St. Paul, MN (US); Frederick J. Arsenault, Stillwater, MN (US); Nicholas A. Johnson, Burnsville, MN (US); Brett R. Hemes, Woodbury, MN (US); Thomas J. Strey, River Falls, WI (US); Jonathan B. Arthur, Hudson, WI (US); Nathan J. Herbst, Woodbury, MN (US); Aaron K. Nienaber, Lake Elmo, MN (US); Sarah M. Mullins, St. Paul, MN (US); Mark W. Orlando, Chesterfield Township, MI (US); Cory D. Sauer, Star Prairie, WI (US); Timothy J. Clemens, Hastings, MN (US); Scott L. Barnett, Medina, MN (US); Zachary M. Schaeffer, Maplewood, MN (US); Patrick G. Zimmerman, Mendota Heights, MN (US); Gregory P. Moriarty, Vadnais Heights, MN (US); Jeffrey P. Adolf, Rochester, MN (US); Steven P. Floeder, Shoreview, MN (US); Andreas Backes, Kaarst (DE); Peter J. Schneider, Neuss (DE); Maureen A. Kavanagh, Marine on St. Croix, MN (US); Glenn E. Casner, Woodbury, MN (US); Miaoding Dai, Woodbury, MN (US); Christopher M. Brown, Cottage Grove, MN (US); Lori A. Sjolund, Stillwater, MN (US); Jon A. Kirschhoffer, Stillwater, MN (US); and Carter C. Hughes, River Falls, WI (US)
Assigned to 3M Innovative Properties Company, St. Paul, MN (US)
Appl. No. 17/436,886
Filed by 3M INNOVATIVE PROPERTIES COMPANY, St. Paul, MN (US)
PCT Filed Oct. 3, 2019, PCT No. PCT/IB2019/058428
§ 371(c)(1), (2) Date Sep. 7, 2021,
PCT Pub. No. WO2020/188336, PCT Pub. Date Sep. 24, 2020.
Claims priority of provisional application 62/818,816, filed on Mar. 15, 2019.
Claims priority of provisional application 62/898,874, filed on Sep. 11, 2019.
Prior Publication US 2022/0163951 A1, May 26, 2022
Int. Cl. G05B 19/00 (2006.01); B25J 11/00 (2006.01); G05B 19/418 (2006.01)
CPC G05B 19/41885 (2013.01) [B25J 11/005 (2013.01); G05B 19/41875 (2013.01); G05B 2219/32187 (2013.01); G05B 2219/32194 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method comprising:
repeatedly performing the following:
selecting a configuration of input settings for manufacturing a product, based on a causal model that measures causal relationships between input settings and a measure of a quality of the product, wherein control settings are assigned to different procedural instances that allow blocked groups to later be identified in order to compute impact measurements between blocked groups;
determining the measure of the quality of the product manufactured using the configuration of input settings;
adjusting, based on the measure of the quality of the product manufactured using the configuration of input settings, the causal model; and
re-computing the causal model by computing confidence intervals and d-scores that are based upon the computed impact measurements between the blocked groups.