Fair share band optimization using Gaussian Bayesian Network
US11995588B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 12, 2021 |
| Grant date | May 28, 2024 |
| Priority date | — |
| Expiry date | Aug 3, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/087
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A system and method for efficiently determining the fair-share bands of a supply chain planning problem modeled as a multi-objective hierarchical linear programming problem include a processor and memory and are configured to model a supply chain planning problem as a multi-objective hierarchal linear programming problem, assign weights at each band of a fixed number of at least two bands, determine a direction of improved band values from a value of a Key Process Indicator (KPI) calculated from an expected demand and short quantities, wherein the expected demand and short quantities are calculated from the multi-objective hierarchical linear programming problem using a sample generated by Gibbs sampling of a conditional Gaussian Bayesian Network, and generate a supply chain plan.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.