US 12,417,420 B1
Scenario planning solutions
Pradeep Baldi, Irving, TX (US); Mathieu Linder, Dallas, TX (US); Joerg Beringer, Redwood City, CA (US); and Anton Vonorych, Ternopil (UA)
Assigned to Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed by Blue Yonder Group, Inc., Scottsdale, AZ (US)
Filed on Jan. 27, 2023, as Appl. No. 18/102,346.
Claims priority of provisional application 63/344,892, filed on May 23, 2022.
Int. Cl. G06Q 10/087 (2023.01); G06Q 10/0631 (2023.01)
CPC G06Q 10/06315 (2013.01) [G06Q 10/087 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for performing rough cut capacity planning through iterative simulation, comprising:
a supply chain network comprising two or more supply chain entities modelled as a set of nodes and edges;
a computer coupled with a database and comprising a processor and memory, the computer configured to:
receive supply chain transaction data as transaction tables;
generate a base plan;
generate updated transaction tables;
denormalize the base plan and the updated transaction tables;
generate supply chain network flow paths and supply chain network data;
solve a rough cut capacity planning problem based at least in part on the supply chain network flow paths, the supply chain network data and simulation data;
repeat at least the generate supply chain network flow paths and supply chain network data and the solve the rough cut capacity planning problem until business goals of the rough cut capacity planning meet a threshold; and
update the simulation data based on an upsert process; and
automated robotic production machinery configured to:
produce one or more products based, at least in part, on the solution to the rough cut capacity planning problem.