System and method for collecting and analyzing shipment parameter data affecting predicted statistical variables of shipped articles

• US 6,643,608 B1
• Filed: 02/22/2000
• Issued: 11/04/2003
• Est. Priority Date: 02/22/2000
• Status: Expired due to Fees

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Evans, Scott C., Hershey, John E., Osborn, Brock E., Welles, Kenneth B. II
• Primary Examiner(s): Hoff, Marc S.
• Assistant Examiner(s): Desta, Elias
• Application Number:
  US09/510,321
• Time in Patent Office: 1,351 Days
• Field of Search: 702/33-36, 702/56, 702/98, 702/99, 702/113, 702/127, 702/130, 702/132, 702/136, 702/138, 702/140, 702/141, 702/150, 702/152, 702/179, 702/184, 702/187, 702/188, 702/FOR.123, 702/126, 702/134, 702/135, 702/139, 702/144, 702/170, 702/151, 702/171, 700/2, 700/5, 700/7, 700/13, 700/15, 700/17, 700/19, 700/51, 700/52, 700/54, 700/57, 700/80, 700/83, 700/91, 700/112-113, 700/115, 700/117, 700/213, 700/214, 340/500, 340/501, 340/673, 324/207.22, 324/207.23, 324/209, 324/454, 324/460, 324/601, 324/604, 324/607, 324/609
• US Class Current: 702/181
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management

Abstract

A system for collecting and analyzing shipment parameter data, e.g., temperature, vibration, acceleration, shock, humidity, barometric pressure, pH, transit time, container position, etc., affecting predicted statistical variables of articles is provided. Examples of the predicted statistical variables may include article life expectancy, warranty costs, service and/or maintenance schedules, etc. The system is made up of a plurality of data collection subsystems for respectively collecting shipment parameter data encountered by respective articles being shipped, and a data analysis subsystem coupled to receive the collected shipment data for adjusting the respective predicted statistical variables of the articles.

Claims

1. A system for collecting and analyzing shipment parameter data affecting predicted statistical variables of articles, the system comprising:

a plurality of data collection subsystems for respectively collecting shipment parameter data encountered by respective articles being shipped, wherein each respective data collection subsystem comprises;

a container for storing one or more of the articles during shipment;

a plurality of respective sensors in the container for collecting the shipment parameter data corresponding to said one or more of the articles therein; and

a sensor controller coupled to select a respective sensor configuration at least based on the type of articles being shipped, and

a data analysis subsystem coupled to receive the collected shipment data for adjusting the respective predicted statistical variables of the articles.

2. The system of claim 1 wherein the predicted statistical variables of the articles are selected from the group consisting of life expectancy, maintenance schedules, and warranty costs.

3. The system of claim 1 wherein the data analysis subsystem includes a database containing historical shipment parameter data for each respective one of the shipped articles.

4. The system of claim 1 wherein the shipment parameter data is selected from the group consisting of temperature, vibration, acceleration, shock, humidity, barometric pressure, pH, transit time, and container position.

5. The system of claim 1 further comprising a module for determining respective correlation coefficients between each respective shipment parameter and/or combinations thereof and the predicted statistical variables of respective articles.

6. The system of claim 3 further comprising a module for adjusting the predicted life expectancy of a respective article based on the historical shipment parameter data of that article.

7. The system of claim 3 further comprising a module for adjusting the predicted service and/or maintenance schedules of a respective article based on the historical shipment data of that article.

8. The system of claim 3 further comprising a module for adjusting the warranty costs of a respective article based on the historical shipment data of the article.

9. The system of claim 1 further comprising a module for adjusting the sensor configuration based on shipment parameters having relatively high correlation coefficient values with the predicted statistical variables of respective articles.

10. The system of claim 1 further comprising a module for identifying respective threshold shipment parameter values indicative of shipping conditions which, if left uncorrected, would unacceptably affect the values of the predicted statistical variables of respective articles.

11. The system of claim 7 having means for issuing alert signals upon respective ones of the shipment parameter values exceeding the identified threshold parameter values.

12. The system of claim 1 wherein the data analysis subsystem and the plurality of data collection subsystems are generally remote from one another.

13. The system of claim 1 wherein the data analysis subsystem comprises an onboard data analysis subsystem or a remote data analysis subsystem relative to each respective data collection subsystem, or both.

14. A method for collecting and analyzing shipment parameter data affecting predicted statistical variables of articles, the method comprising:

collecting shipment parameter data encountered by articles being shipped using a plurality of respective data collection subsystems, wherein the data collection step comprises;

providing a container for storing one or more of the articles during shipment;

collecting the shipment parameter data corresponding to said one or more of the articles in the container using a plurality of respective sensors therein; and

selecting a respective sensor configuration at least based on the type of articles being shipped; and

adjusting the respective predicted statistical variables of the articles using a data analysis subsystem coupled to receive the collected shipment data.

15. The method of claim 14 wherein the predicted statistical variables of the articles are selected from the group consisting of life expectancy, maintenance schedules, and warranty costs.

16. The method of claim 14 further comprising a step of populating a database containing historical shipment parameter data for each respective one of the shipped articles.

17. The method of claim 14 wherein the shipment parameter data is selected from the group consisting of temperature, vibration, acceleration, shock, humidity, barometric pressure, pH, transit time, and container position.

18. The method of claim 14 further comprising determining respective correlation coefficients between each respective shipment parameter and/or combinations thereof and the predicted statistical variables of respective articles.

19. The method of claim 16 further comprising adjusting the predicted life expectancy of a respective article based on the historical shipment parameter data of that article.

20. The method of claim 16 further comprising adjusting the predicted service and/or maintenance schedules of a respective article based on the historical 15 shipment data of that article.

21. The method of claim 16 further comprising adjusting the warranty costs of a respective article based on the historical shipment data of the article.

22. The method of claim 14 further comprising adjusting the sensor configuration based on shipment parameters having relatively high correlation coefficient values with the predicted statistical variables of respective articles.

23. The method of claim 14 further comprising identifying respective threshold shipment parameter values indicative of shipping conditions which, if left uncorrected, would unacceptably affect the values of the predicted statistical variables of respective articles.

24. The method of claim 20 further comprising a step of issuing alert signals upon respective ones of the shipment parameter values exceeding the identified threshold parameter values.

25. The method of claim 14 wherein the adjusting step is remotely executed relative to each respective data collection subsystem.

26. The method of claim 14 wherein the adjusting step is locally and/or remotely executed relative to each respective data collection subsystem.

27. A system for collecting and analyzing shipment parameter data that may influence an article during shipment, the shipment parameter data being associated with and potentially influencing at least one of a set of predicted statistical variables associated with the article, the system comprising:

a plurality of data collection subsystems for collecting the shipment parameter data, the plurality of data collection subsystems comprising a container for storing the article during shipment and at least one sensor with the container for collecting the respective shipment parameter data during shipment of the article;

a sensor controller coupled to select a respective sensor configuration at least based on the type of articles being shipped;

a data analysis subsystem coupled to receive and analyze the collected shipment parameter data; and

a processing module for adjusting the respective predicted statistical variables in response to the influence the collected shipment parameter data had on the respective one of the predicted statistical variables thereby providing a more accurate estimation of the respective predicted statistical variables.