Graphical user interface for capacity-driven production planning tool

• US 7,774,225 B2
• Filed: 09/12/2001
• Issued: 08/10/2010
• Est. Priority Date: 09/12/2001
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Cargille, Brian D., Callioni, Gianpaolo, Johnson, M. Eric
• Primary Examiner(s): Sterrett; Jonathan G
• Application Number:
  US09/953,663
• Publication Number:
  US 20030050826A1
• Time in Patent Office: 3,254 Days
• Field of Search: 705/10
• US Class Current: 705/7.25
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

Production planning systems and methods are described that enable production planners to see how capacity decisions affect total production costs and to understand the cost trade offs between excess capacity and inventory and, thereby, enable them to make appropriate manufacturing capacity level and inventory level decisions. In one aspect, a graphical user interface separates the presentation of production planning information from the underlying representation of production planning calculations and interrelationships. The graphical user interface frees a production planner from having to handle the underlying references directly and, thereby, allows the production planner to focus instead on the contexts and concepts of production planning (e.g., making strategic decisions regarding excess capacity levels and inventory levels).

Claims

1. A production planning system, comprising:

a graphical user interface configured to receive values for one or more capacity attributes characterizing a manufacturing line configured to produce one or more products;

at least one computing engine configured to compute one or more inventory investment amounts based upon the received one or more capacity attribute values and needed to cover expected demand and expected demand uncertainty for the one or more products over an exposure period with a target service level;

wherein the graphical user interface is configured to display the one or more computed inventory investment amounts.

2. The system of claim 1, wherein the graphical user interface includes a capacity attributes section prompting a user to input values for the following capacity attributes characterizing the manufacturing line:

shift length;

number of shifts in a given unit of time;

mean time line is inoperable;

mean set-up time;

set-up time variability; and

production scheduling variability;

wherein the at least one computing engine is configured to compute the one or more inventory investment amounts as a function of the shift length, the number of shifts in a given unit of time, the mean time line is inoperable, the mean set-up time, the set-up time variability, and the production scheduling variability.

3. The system of claim 1, wherein the graphical user interface is configured to receive values for one or more production attributes characterizing the one or more products.

4. The system of claim 3, wherein the graphical user interface includes a production attributes section prompting a user to input values for one or more of the following production attributes for each of the one or more products:

mean demand;

demand uncertainty;

line cycle time; and

average time between builds;

wherein the at least one computing engine is configured to compute the one or more inventory investment amounts as a function of the mean demand, the demand uncertainty, the line cycle time, and the average time between builds.

5. The system of claim 1, wherein the at least one computing engine is configured to compute a total inventory investment amount that covers expected demand and expected demand uncertainty for all of the products over an exposure period with a target service level, and the graphical user interface includes a total inventory investment section configured to display the computed total inventory investment amount.

6. The system of claim 1, wherein the at least one computing engine is configured to compute a respective inventory investment amount that covers expected demand and expected demand uncertainty for each of the products over an exposure period with a target service level, and the graphical user interface includes a product-specific inventory investment section configured to display each computed inventory investment amount.

7. The system of claim 1, wherein the at least one computing engine is configured to compute one or more manufacturing capacity levels that covers expected demand and expected demand uncertainty for the one or more products over an exposure period with a target service level, and the graphical user interface is configured to display the one or more computed manufacturing capacity levels.

8. The system of claim 7, wherein the at least one computing engine is configured to compute one or more measures of total line utilization that covers expected demand and expected demand uncertainty for all of the products over an exposure period with a target service level, and the graphical user interface includes a total manufacturing line capacity section that is configured to display the one or more computed measures of total line utilization.

9. The system of claim 7, wherein the at least one computing engine is configured to compute a respective measure of manufacturing line responsiveness for each of the products, and the graphical user interface includes a product-specific manufacturing line capacity section that is configured to display the measure of manufacturing line responsiveness computed for each of the products.

10. The system of claim 1, wherein the at least one computing engine is configured to determine total production cost as a function of excess manufacturing line capacity for the one or more products, and the graphical user interface is configured to display a graph of the determined total production cost plotted as a function of the excess manufacturing line capacity.

21. The production planning system of claim 1, further comprising computer hardware operable to implement the graphical user interface and the at least one computing engine.

11. A production planning method, comprising:

by a computer receiving values for one or more capacity attributes characterizing a manufacturing line configured to produce one or more products;

by the computer determining one or more inventory investment amounts based upon the received one or more capacity attribute values and needed to cover expected demand and expected demand uncertainty for the one or more products over an exposure period with a target service level; and

displaying the one or more determined inventory investment amounts.

12. The method of claim 11, further comprising prompting a user to input values for the following capacity attributes characterizing the manufacturing line:

shift length;

number of shifts in a given unit of time;

mean time line is inoperable;

mean set-up time;

set-up time variability; and

production scheduling variability;

wherein the determining comprises determining the one or more inventory investment amounts as a function of the shift length, the number of shifts in a given unit of time, the mean time line is inoperable, the mean set-up time, the set-up time variability, and the production scheduling variability.

13. The method of claim 11, further comprising receiving values for one or more production attributes characterizing the one or more products.

14. The method of claim 13, further comprising prompting a user to input values for one or more of the following production attributes for each of the one or more products:

mean demand;

demand uncertainty;

line cycle time; and

average time between builds;

wherein the determining comprises determining the one or more inventory investment amounts as a function of the mean demand, the demand uncertainty, the line cycle time, and the average time between builds.

15. The method of claim 11, further comprising computing a total inventory investment amount that covers expected demand and expected demand uncertainty for all of the products over an exposure period with a target service level, and displaying the computed total inventory investment amount.

16. The method of claim 11, further comprising computing a respective inventory investment amount that covers expected demand and expected demand uncertainty for each of the products over an exposure period with a target service level, and displaying each computed inventory investment amount.

17. The method of claim 11, further comprising computing one or more computed manufacturing capacity levels that covers expected demand and expected demand uncertainty for the one or more products over an exposure period with a target service level, and displaying the one or more computed manufacturing capacity levels.

18. The method of claim 17, further comprising computing one or more measures of total line utilization that covers expected demand and expected demand uncertainty for all of the products over an exposure period with a target service level, and displaying the one or more computed measures of total line utilization.

19. The method of claim 17, further comprising computing a respective measure of manufacturing line responsiveness for each of the products, and displaying each computed measure of manufacturing line responsiveness.

20. The method of claim 11, further comprising displaying a graph of total production cost plotted as a function of excess manufacturing line capacity.