US 12,248,896 B2
System and method of segmented modelling for campaign planning in a very large-scale supply chain network
Ankit Shankdhar, Haridwar (IN); Arijit Deb, Bangalore (IN); Chaitanya Pai Kalasa Gopinath, Bangalore (IN); Devender Pal Singh Chauhan, Bangalore (IN); and Tushar Shekhar, Katihar (IN)
Assigned to Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed by Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed on Sep. 8, 2023, as Appl. No. 18/244,072.
Application 18/244,072 is a continuation of application No. 15/968,352, filed on May 1, 2018, granted, now 11,769,092.
Prior Publication US 2023/0419213 A1, Dec. 28, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06Q 10/0631 (2023.01); G06N 5/01 (2023.01); G06Q 10/04 (2023.01); G06Q 10/067 (2023.01); G06Q 10/087 (2023.01); G06Q 30/0202 (2023.01)
CPC G06Q 10/06315 (2013.01) [G06N 5/01 (2023.01); G06Q 10/04 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/067 (2013.01); G06Q 10/087 (2013.01); G06Q 30/0202 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising: a supply chain network comprising a robotic inventory system, wherein the robotic inventory system is configured to adjust inventory levels;
a network interconnecting a planner and the robotic inventory system;
the planner, further comprising a processor and a non-transitory computer-readable storage medium, the planner configured to:
model the supply chain network over a planning horizon, the planning horizon comprising one or more time buckets;
formulate a supply chain master planning problem comprising a hierarchy of objective functions and one or more constraints, wherein each objective function of the hierarchy of objective functions is expressed as a minimization;
identify one or more campaignable buffers and one or more campaignable resources;
divide the supply chain master planning problem into a first segment, a second segment comprising the one or more campaignable buffers and the one or more campaignable resources, and a third segment comprising one or more items and operations downstream of the one or more campaignable resources and the one or more campaignable buffers;
modeling one or more campaign objective functions specific to a campaign planning solution;
segment a campaign planning problem into three stages;
solve a campaign planning problem of a first stage of the three stages to determine prioritized production demands on the one or more campaignable buffers;
solve a campaign planning problem of a second stage of the three stages to determine a timing and a sequence for allocating the one or more campaignable resources;
solve a campaign planning problem of a third stage of the three stages to determine a quantity of one or more products to produce on at least one of the one or more campaignable resources by solving the campaign planning problem of the second stage;
and adjust inventory levels at various stocking points determined by the solution of the campaign planning problem of the third stage using robotic machinery to adjust mix ratios and using information gathered from sensors to locate items to add or remove from an inventory.