Method for Automatically Analyzing Transport Courses

• US 20070250211A1
• Filed: 07/26/2005
• Published: 10/25/2007
• Est. Priority Date: 07/26/2004
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Kupfernagel, Rolf, Paetsch, Holger, Berlin, Bernhard, Langhammer, Helmut
• Application Number:
  US11/632,869
• Publication Number:
  US 20070250211A1
• Time in Patent Office: Days
• US Class Current: 700/244
• CPC Class Codes: G06Q 10/047 Optimisation of routes or paths, e.g. travelling salesman problem
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

In a network using quality test letters (QTL), transport courses are automatically analyzed and physical characteristics are recorded over time during the transport and subsequently read out and classified. The method identifies each QTL message in a node, and determines spatiotemporal relations with respect to nodes passed through. The logistical process chain passed through by each message is automatically determined with process elements from the spatiotemporal relations. All possible required transport courses of each QTL message sent are automatically generated, starting from a respective point of network entry and point of network exit, with associated times as well as selected transport conditions from defined transport rules between the nodes of the logistics network and from a description of execution sequences in the nodes and the relationships between the nodes. A comparison is performed between all required transport courses and an actual transport course of each transported QTL message, and differences are determined. The differences are recorded.

Claims

1. A method for automatically analyzing transport courses in logistics networks using quality test letters (QTL), in which physical characteristics are recorded over time during the transport and subsequently read out and classified in accordance with transport process steps, comprising:

identifying each QTL message in a node, and determining spatiotemporal relations in respect of the nodes passed through,

automatically determining logistical process chain passed through by each message with process elements from the spatiotemporal relations and recorded physical states,

automatically generating all possible required transport courses of each QTL message sent, starting from a respective point of entry and point of exit into or from the logistics network with associated times as well as selected transport conditions from defined transport rules between the nodes of the logistics network and from a description of execution sequences in the nodes and the relationships between the nodes,

performing a comparison between all required transport courses and an actual transport course of each transported QTL message, and determining differences, and

recording the differences between the actual transport course and the required transport course and the required transport course with the closest match for each transported QTL message in a weak point database.

6. The method of claim 1, wherein, to allow the QTL messages to be identified, these messages are provided with machine-readable identifications.

7. The method of claim 6, wherein, to identify the QTL messages, at least one QTL message identification and a test run identification are incorporated into 2D bar codes for franking further information.

8. The method of claim 1, wherein, to identify the QTL messages, these messages are provided with transponders which will be read out in the node and stored with a time stamp.

9. The method of claim 1, wherein the QTL messages recognize that they have passed through a node on the basis of a stationary identification sent by radio, and this information is stored with a time stamp in the QTL message.

10. The method of claim 1, wherein to identify the QTL message, the characteristic features are determined from its surface with the address specifications and stored together with the destination addresses as well as the further test data in a database, in the required nodes the characteristic features of the message surfaces with the address specifications of the incoming messages are likewise determined in accordance with time and stored in the database and the relevant QTL message is determined by comparing the features detected in the node with the features assigned to the QTL message, in which case a match to the defined extent means that the QTL message is identified.

11. The method of claim 1, wherein to identify the QTL message before its entry into the logistics network, characteristic features are determined from its surface and are stored together with the destination address as well as the further test data in a central database, the data for these features and the further test data are transmitted to the required node and the relevant QTL message is determined by means of a comparison between the transmitted and the detected features, in which case a match to the defined extent means that the QTL message is identified.

2. (canceled)

3. The method of claim 2, wherein the differences recorded in the weak point database are evaluated statistically.

4. The method of claim 2, wherein the logistics network is divided up into network planes and part networks for each of which the transport rules between the nodes and the description of the execution sequences in the nodes and the relationships between the nodes are defined.

5. The method of claim 2, wherein the differences in respect of the identified part process and/or the deviation type and/or the deviation cause are evaluated.