公开(公告)号：US12111162B1

公开(公告)日：2024-10-08

申请号：US17845439

申请日：2022-06-21

Applicant: Amazon Technologies, Inc.

Inventor： Phillip Oliver Kriett ,  Quico Pepijn Spaen ,  Georgios Patsakis ,  Diwakar Tiwari ,  Akhand Pratap Singh ,  Ivan Borges Oliveira ,  Andrew V. Goldberg ,  Philip Mark Kaminsky ,  Karthik Ramakrishnan ,  Manik Kumar

IPC: G01C21/34

CPC classification number: G01C21/3415 ,  G01C21/3446

Abstract: One challenge for middle-mile route planning is that the set of loads changes significantly between daily planning and execution. Systems and methods are provided for optimizing a transportation plan for a transportation network based on these load changes. The disclosed system re-optimizes a solution by starting from a previously existing plan and previously generated columns (e.g., candidate routes). The disclosed techniques significantly improve the compute time of the system to generate transportation plans that are optimized accordingly to an optimization parameter. The system takes into account the current execution status associated with a given entry of the plan to determine whether the entry should be re-optimized. Entries corresponding to tours that have already commenced, may be at least partially ignored for re-optimization consideration. The disclosed techniques enable state-aware, adaptive re-optimization for even tours that are in-progress or have been tendered.

公开(公告)号：US11948109B1

公开(公告)日：2024-04-02

申请号：US17331272

申请日：2021-05-26

Applicant: Amazon Technologies, Inc.

Inventor： Phillip Oliver Kriett ,  Philip Mark Kaminsky ,  Ivan Borges Oliveira ,  Manik Kumar

IPC: G06Q10/0631 ,  G06F16/242 ,  G06Q10/047 ,  G06Q10/0834 ,  G06Q10/0835

CPC classification number: G06Q10/06313 ,  G06F16/2425 ,  G06Q10/047 ,  G06Q10/06312 ,  G06Q10/08345 ,  G06Q10/08355

Abstract: Techniques for planning resources using block and route information are described. In an example, a computing system determines a demand for item transportation expected during a planning horizon. The computing system determines information about a pre-planned transportation resource available during the planning horizon and costs associated with the pre-planned transportation resource. The computing system uses an optimization model to determine a block having a time length, a tour to transport, during the block, a first portion of the demand using the pre-planned transportation resource, and a second portion of the demand to be transported using an on-demand transportation resource. The computing system indicates, to a first computing device of the pre-planned transportation resource, an assignment of the block to the pre-planned transportation resource.