The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 10, 2020
Filed:
Sep. 28, 2018
Applicant:
Kinaxis Inc., Ottawa, CA;
Inventors:
Marcio Oliveira Almeida, Stittsville, CA;
Zhen Lin, Kanata, CA;
Behrouz Haji Soleimani, Halifax, CA;
Seyednaser Nourashrafeddin, Ottawa, CA;
Chantal Bisson-Krol, Kanata, CA;
Assignee:
Kinaxis Inc., Ottawa, CA;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/06 (2012.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06Q 10/06315 (2013.01); G06N 5/048 (2013.01); G06N 20/00 (2019.01); G06F 16/285 (2019.01);
Abstract
A dynamic supply chain planning system for analysis of historical lead time data that uses machine learning algorithms to forecast future lead times based on historical lead time data, and to divide historical lead time data into clusters based on seasonality and linearity. The machine learning results are further processed to adjust future planned lead times and to identify sources in the supply chain that contribute to large deviations between historical planned lead times and actual lead times.