IP Library Granted Patent US 8,452,627
Granted Patent B2
US 8,452,627 · App. 13/163,687 · Granted May 28, 2013

Determining an inventory target for a node of a supply chain

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Quick Facts
Patent No.
US 8,452,627
App. No.
13/163,687
Granted
May 28, 2013
Kind
B2
Abstract

Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.

Claims (48)

1. A computer-implemented method of estimating inventory targets of a supply chain, comprising:

calculating, by a computer, an inventory target for a node of a supply chain;

comparing, by the computer, a predicted demand to an actual demand, the predicted demand exhibiting a demand bias that represents a tendency of the predicted demand to be greater or less than the actual demand;

determining, by the computer, whether the demand bias is a positive bias or a negative bias, the positive bias comprising the actual demand exceeding the predicted demand and the negative bias comprising the predicted demand exceeding the negative demand;

adjusting, by the computer, the inventory target when the demand bias is the positive bias.

2. The method of claim 1 , wherein calculating the inventory target comprises:

calculating, by the computer, a demand stock that satisfies a demand over supply lead time at a node of the supply chain;

calculating, by the computer, a demand variability stock that satisfies a demand variability of the demand over supply lead time at the node;

establishing, by the computer, the demand bias of the demand at the node; and

determining, by the computer, the inventory target of the node based on the demand stock and the demand variability stock in accordance with the demand bias.

3. The method of claim 2 , further comprising adjusting the inventory target by ignoring the demand variable stock such that the inventory target equals the demand stock.

4. The method of claim 1 , further comprising calculating the inventory target by adding a demand stock to a demand variable stock.

5. The method of claim 1 , further comprising calculating the predicted demand by ignoring the actual demand.

6. The method of claim 5 , further comprising:

generating a demand forecast; and

determining the predicted demand from the demand forecast.

7. The method of claim 6 , wherein the actual demand comprises a known demand.

8. A system for estimating inventory targets of a supply chain, comprising:

an optimization engine tangibly embodied on a computer-readable medium configured to calculate an inventory target for a node of a supply chain;

a computer system coupled to the optimization engine and configured to:

compare a predicted demand to an actual demand, the predicted demand exhibiting demand bias that represents a tendency of the predicted demand to be greater or less than the actual demand;

determine whether the demand bias is a positive bias or a negative bias, the positive bias comprising the actual demand exceeding the predicted demand and the negative bias comprising the predicted demand exceeding the negative demand;

adjust the inventory target when the supply chain is associated with a forecast business model and the demand bias is the positive bias.

9. The system of claim 8 , wherein the computer system if further configured to:

calculate a demand stock that satisfies a demand over supply lead time at a node of the supply chain;

calculate a demand variability stock that satisfies a demand variability of the demand over supply lead time at the node;

establish the demand bias of the demand at the node; and

determine the inventory target of the node based on the demand stock and the demand variability stock in accordance with the demand bias.

10. The system of claim 9 , wherein the computer system if further configured to adjust the inventory target by ignoring the demand variable stock such that the inventory target equals the demand stock.

11. The system of claim 8 , wherein the computer system if further configured to calculate the inventory target by adding a demand stock to a demand variable stock.

12. The system of claim 8 , wherein the computer system is further configured to calculate the predicted demand by ignoring the actual demand.

13. The system of claim 12 , wherein the computer system is further configured to generate a demand forecast and determine the predicted demand from the demand forecast.

14. The system of claim 13 , wherein the actual demand comprises a known demand.

15. A non-transitory computer-readable medium embodied with software for estimating inventory targets of a supply chain, the software when executed by a computer is configured to:

calculate an inventory target for a node of a supply chain;

compare a predicted demand to an actual demand, the predicted demand exhibiting demand bias that represents a tendency of the predicted demand to be greater or less than the actual demand;

determine whether the demand bias is a positive bias or a negative bias, the positive bias comprising the actual demand exceeding the predicted demand and the negative bias comprising the predicted demand exceeding the negative demand;

adjust the inventory target when the demand bias is the positive bias.

16. The non-transitory computer-readable medium of claim 15 , wherein calculate the inventory target comprises:

calculate a demand stock that satisfies a demand over supply lead time at a node of the supply chain;

calculate a demand variability stock that satisfies a demand variability of the demand over supply lead time at the node;

establish the demand bias of the demand at the node; and

determine the inventory target of the node based on the demand stock and the demand variability stock in accordance with the demand bias.

17. The non-transitory computer-readable medium of claim 15 , wherein the software is further configured to adjust the inventory target by ignoring the demand variable stock such that the inventory target equals the demand stock.

18. The non-transitory computer-readable medium of claim 15 , wherein the software is further configured to calculate the inventory target by adding a demand stock to a demand variable stock.

19. The non-transitory computer-readable medium of claim 18 , wherein the software is further configured to:

calculate the predicted demand by ignoring the actual demand; generate a demand forecast; and determine the predicted demand from the demand forecast.

20. The non-transitory computer-readable medium of claim 19 , wherein the actual demand comprises a known demand.

Assignments (15)
RELEASE OF SECURITY INTEREST IN PATENTS PREVIOUSLY RECORDED AT REEL/FRAME (053383/0117) Recorded Nov 3, 2021
From: U.S. BANK NATIONAL ASSOCIATION, AS COLLATERAL AGENT
To: BLUE YONDER GROUP, INC.
Reel/Frame 058794/0776 →
RELEASE OF SECURITY INTEREST Recorded Sep 16, 2021
From: JPMORGAN CHASE BANK, N.A.
To: BLUE YONDER GROUP, INC.; BLUE YONDER, INC.; JDA SOFTWARE SERVICES, INC.; I2 TECHNOLOGIES INTERNATIONAL SERVICES, LLC; MANUGISTICS SERVICES, INC.; MANUGISTICS HOLDINGS DELAWARE II, INC.; REDPRAIRIE COLLABORATIVE FLOWCASTING GROUP, LLC; JDA SOFTWARE RUSSIA HOLDINGS, INC.; REDPRAIRIE SERVICES CORPORATION; BY BOND FINANCE, INC.; BY NETHERLANDS HOLDING, INC.; BY BENELUX HOLDING, INC.
Reel/Frame 057724/0593 →
CORRECTIVE ASSIGNMENT TO CORRECT THE COVEYING PARTY AND RECIVINGING PARTY'S NAME PREVIOUSLY RECORDED AT REEL: 027098 FRAME: 0882. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT . Recorded Mar 3, 2021
From: JDA TECHNOLOGIES US, INC.
To: JDA SOFTWARE GROUP, INC.
Reel/Frame 055486/0910 →
CORRECTIVE ASSIGNMENT TO CORRECT THE NAME OF THE RECEIVING PARTY TO INCLUDE A PERIOD AFTER THE TERM INC PREVIOUSLY RECORDED ON REEL 026981 FRAME 0837. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Mar 3, 2021
From: DOGAN, KORAY; NAJMI, ADEEL; SHEIKHZADEH, MEHDI; RAMAN, RAMESH
To: I2 TECHNOLOGIES US, INC.
Reel/Frame 055486/0858 →
CORRECTIVE ASSIGNMENT TO CORRECT THE CONVEYING PARTY AND RECEIVING PARTY'S NAME PREVIOUSLY RECORDED AT REEL: 027098 FRAME: 0849. ASSIGNOR(S) HEREBY CONFIRMS THE CHANGE OF NAME. Recorded Mar 3, 2021
From: I2 TECHNOLOGIES US, INC.
To: JDA TECHNOLOGIES US, INC.
Reel/Frame 055486/0904 →
SECURITY AGREEMENT Recorded Aug 3, 2020
From: BLUE YONDER GROUP, INC.
To: U.S. BANK NATIONAL ASSOCIATION
Reel/Frame 053383/0117 →
CHANGE OF NAME Recorded Apr 13, 2020
From: JDA SOFTWARE GROUP, INC.
To: BLUE YONDER GROUP, INC.
Reel/Frame 052386/0186 →
RELEASE OF SECURITY INTEREST IN PATENTS AT REEL/FRAME NO. 29556/0809 Recorded Oct 12, 2016
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: JDA SOFTWARE GROUP, INC.
Reel/Frame 040337/0356 →
SECURITY AGREEMENT Recorded Oct 12, 2016
From: RP CROWN PARENT, LLC; RP CROWN HOLDING LLC; JDA SOFTWARE GROUP, INC.
To: JPMORGAN CHASE BANK, N.A., AS COLLATERAL AGENT
Reel/Frame 040326/0449 →
RELEASE OF SECURITY INTEREST IN PATENTS AT REEL/FRAME NO. 29556/0697 Recorded Oct 12, 2016
From: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
To: JDA SOFTWARE GROUP, INC.
Reel/Frame 040337/0053 →
FIRST LIEN PATENT SECURITY AGREEMENT Recorded Jan 2, 2013
From: JDA SOFTWARE GROUP, INC.
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
Reel/Frame 029556/0697 →
FIRST LIEN PATENT SECURITY AGREEMENT Recorded Jan 2, 2013
From: JDA SOFTWARE GROUP, INC.
To: CREDIT SUISSE AG, CAYMAN ISLANDS BRANCH
Reel/Frame 029556/0809 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 21, 2011
From: JDA TECHNOLOGIES US, INC
To: JDA SOFTWARE GROUP, INC
Reel/Frame 027098/0882 →
CHANGE OF NAME Recorded Oct 21, 2011
From: I2 TECHNOLOGIES US, INC
To: JDA TECHNOLOGIES US, INC
Reel/Frame 027098/0849 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 28, 2011
From: DOGAN, KORAY; NAJMI, ADEEL; SHEIKHZADEH, MEHDI; RAMAN, RAMESH
To: I2 TECHNOLOGIES US, INC
Reel/Frame 026981/0837 →