METHOD AND SYSTEM FOR MONITORING SHIPMENTS IN A SUPPLY AND/OR LOGISTICS CHAIN

• US 20160217399A1
• Filed: 01/21/2016
• Published: 07/28/2016
• Est. Priority Date: 01/22/2015
• Status: Abandoned Application

• Current Assignee: Elementum Scm (Cayman) Ltd. (Flex, Ltd.)
• Original Assignee: Elementum Scm (Cayman) Ltd. (Flex, Ltd.)
• Inventors: ROELOFS, FEKKO, MARTIN, DANA BURROWS, GURUSWAMY, MURUGESAN, MEDEROS, BRITTANY
• Application Number:
  US15/003,044
• Publication Number:
  US 20160217399A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/063116 Schedule adjustment for a person or group
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 10/08355 Routing methods
• CPC Class Codes: G06Q 10/0837 Return transactions

Abstract

A system and method for tracking shipments in a supply chain is provided. The method comprises: storing, in a computer-accessible memory, transport graph data structures that describe transport objects and relationships between transport objects in a supply chain, the transport graph data structures comprising nodes connected by branches, each node corresponding to a transport object of the transport objects in the supply chain and each branch associated with a type of relationship between two transport objects corresponding to two nodes connected by a respective branch; using a first computer, detecting, in a supply chain, a delay in shipment on a route segment transport object from an origin transport object to a destination transport object; using the first computer, identifying, from the transport graph data structures, nodes corresponding to the destination transport object, and the route segment transport object corresponding to the delay in shipment; using the first computer, identifying, from the transport graph data structures, an alternate transport object node positioned between nodes corresponding to a current or anticipated location of the shipment and the destination transport object; providing, via a user interface presented on a display screen of the first computer, a description of the delay and the alternate transport object node.

Claims

1. A computer system, comprising:

one or more processors;

a memory storing transport graph data structures that describe transport objects and relationships between transport objects in a supply chain, the transport graph data structures comprising nodes connected by branches, each node corresponding to a transport object of the transport objects in the supply chain and each branch associated with a type of relationship between two transport objects corresponding to two nodes connected by a respective branch;

a non-transitory computer-readable medium having instructions embodied thereon, the instructions executable by the one or more processors to perform;

using the one or more processors, detecting, in data stored in digital memory and representing movement of items in a supply chain, data indicating a delay in shipment of the items on a route segment transport object from an origin transport object to a destination transport object;

using the one or more processors, identifying, from the transport graph data structures, nodes corresponding to the destination transport object, and the route segment transport object corresponding to the delay in shipment;

using the one or more processors, identifying, from the transport graph data structures, an alternate transport object node that is positioned between nodes corresponding to a current or anticipated location of the shipment and the destination transport object;

providing, via a user interface presented on a display screen, a description of the delay and the alternate transport object node.

2. The system of claim 1, further comprising, using the one or more processors, detecting the data indicating the delay by determining a current location of the shipment;

calculating a delayed arrival time of the shipment at the destination transport object;

comparing the delayed arrival time to stored data specifying an expected arrival time of the shipment at the destination transport object.

3. The system of claim 2, wherein calculating the delayed arrival time is based upon data values specifying a current location of the shipment, a speed of movement of the shipment, and a time required by one or more other shipments in temporal proximity to a current time to traverse one or more transport objects positioned between the current location of the shipment and the destination transport object.

4. The system of claim 1, wherein the delay is detected by:

aggregating stored historical performance information for the shipment;

comparing the historical performance information to current performance requirements.

5. The system of claim 1, wherein detecting the delay further comprises determining an impact of the delay on one or more products produced by the supply chain, and determining a potential cost of the delay;

and wherein providing the description of the delay comprises providing values specifying the impact of the delay on the one or more products or the potential cost of the delay.

6. The system of claim 5, wherein the user interface contains a plurality of tiles, wherein the shipment corresponds to a first tile of the plurality of tiles and wherein one or more of an appearance, shape, location, and size of each tile of the plurality of tiles indicates the impact of the delay on the one or more products or the potential cost of the delay.

7. The system of claim 1, wherein detecting the delay comprises:

accessing, via a network, content from a network-accessible information source comprising a social network, a weather data source, a governmental entity, or law enforcement or military authority; and

determining word usage frequency of the content.

8. The system of claim 7, wherein detecting the delay further comprises:

assigning a reliability weight to each network-accessible information source; and

modifying the word usage frequency of the content according to the reliability weight of the network-accessible information source from which the content was accessed.

9. The system of claim 1, wherein detecting the delay comprises tracking data specifying a spatial location of the shipment in substantial real time by a real-time locating system, using satellite position information or terrestrial antenna information.

10. The system of claim 1, wherein the current or anticipated location of the shipment is a hub associated with a hub transport object, and wherein the alternate transport object node is identified by a node corresponding to an alternate route segment and positioned between the node corresponding to the hub transport object and the node corresponding to the destination transport object.

11. A method comprising:

storing, in a computer-accessible memory, transport graph data structures that describe transport objects and relationships between transport objects in a supply chain, the transport graph data structures comprising nodes connected by branches, each node corresponding to a transport object of the transport objects in the supply chain and each branch associated with a type of relationship between two transport objects corresponding to two nodes connected by a respective branch;

using a first computer, using the one or more processors, detecting, in data stored in digital memory and representing movement of items in a supply chain, data indicating a delay in shipment of the items on a route segment transport object from an origin transport object to a destination transport object;

using the first computer, identifying, from the transport graph data structures, nodes corresponding to the destination transport object, and the route segment transport object corresponding to the delay in shipment;

using the first computer, identifying, from the transport graph data structures, an alternate transport object node that is positioned between nodes corresponding to a current or anticipated location of the shipment and the destination transport object;

providing, via a user interface presented on a display screen, a description of the delay and the alternate transport object node.

12. The method of claim 11, wherein the delay is detected by:

determining a current location of the shipment;

calculating a delayed arrival time of the shipment at the destination transport object;

comparing the delayed arrival time to an expected arrival time of the shipment at the destination transport object.

13. The method of claim 12, wherein calculating the delayed arrival time uses a current location of the shipment, a speed of movement of the shipment, and a time required by one or more other shipments in temporal proximity to a current time to traverse one or more transport objects positioned between the current location of the shipment and the destination transport object.

14. The method of claim 11, wherein the delay is detected by:

aggregating historical performance information for the shipment;

comparing the historical performance information to current performance requirements.

15. The method of claim 11, wherein detecting the delay comprises:

determining an impact of the delay on one or more products produced by the supply chain;

determining a potential cost of the delay;

and wherein providing the description of the delay comprises;

the impact of the delay on the one or more products or the potential cost of the delay.

16. The method of claim 15, wherein the user interface contains a plurality of tiles, wherein the shipment corresponds to a first tile of the plurality of tiles and wherein one or more of an appearance, shape, location, and size of each tile of the plurality of tiles indicates the impact of the delay on the one or more products or the potential cost of the delay.

17. The method of claim 11, wherein detecting the delay comprises:

accessing, via a network, content from a network-accessible information source comprising a social network, a weather data source, a governmental entity, or law enforcement or military authority; and

determining word usage frequency of the content.

18. The method of claim 17, wherein detecting the delay further comprises:

assigning a reliability weight to each network-accessible information source; and

modifying the word usage frequency of the content according to the reliability weight of the network-accessible information source from which the content was accessed.

19. The method of claim 11, wherein detecting the delay comprises tracking a spatial location of the shipment in substantial real time by a real-time locating system, using satellite position information or terrestrial antenna information.

20. The method of claim 11, wherein the current or anticipated location of the shipment is a hub associated with a hub transport object and wherein the alternate transport object node is identified by a node corresponding to an alternate route segment and positioned between the node corresponding to the hub transport object and the node corresponding to the destination transport object.