Method and system for generating supply chain planning information

• US 20070150323A1
• Filed: 06/21/2006
• Published: 06/28/2007
• Est. Priority Date: 12/28/2005
• Status: Abandoned Application

• Current Assignee: Institute For Information Industry
• Original Assignee: Institute For Information Industry
• Inventors: Wang, Chun-Kai, Shih, Chia-Chun, Huang, Chi-Hung, Lin, June-Ray
• Application Number:
  US11/471,555
• Publication Number:
  US 20070150323A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/06314 Calendaring for a resource
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change

Abstract

A method and a system for generating supply chain planning information are provided, which are used to dynamically adjust the control factors of the supply information provided by an original supplier and an original logistics provider, after the first supply chain planning information has been generated through a conventional supply chain planning information system, so as to generate much more supply information to process. Then, the information is processed by a planning engine of the supply chain planning information system to further generate other supply chain planning information among which to select in decision making. Hence, a decision maker can select and find out improved ways to negotiate with suppliers, so as to reduce the total cost and also meet customers'"'"' service quality requirements.

Claims

1. A method for generating supply chain planning information, wherein target condition (TC_i=1) set initially and supply information collection (CM_i=1) obtained outside are used to generate the first supply chain planning information (S_i=1) through a planning engine;

CM_i=1 includes at least one control factor (C_1j), and C_1j further includes at least one supply information (RFx_1j,k) containing a provider (R_1j,k), a quotation (Q_1j,k), and a weight (W_1j,k), the method comprising;

establishing an information analysis rule and a numerical analysis rule;

selecting at least one C_1j from CM_i=1 according to the information analysis rule;

changing R_1j,k and Q_1j,k of RFx_1j,k in C_1j into RFx_ij,k,i=2 . . . RFx_ij,k,i=n according to the numerical analysis rule, and selecting RFx_ij,k to generate CM_i=2 . . . CM_i=n according to W_{1j,k=1 . . . n};

combining CM_i=2 . . . CM_i=n with CM_i=1 in sequence, and generating the corresponding S_i=2 . . . S_i=n according to the planning engine;

sorting S_i=1 . . . S_i=n based on TC_i=1;

selecting at least one of RFx_ij,k,i=2 . . . RFx_ij,k,i=n corresponding to S_i=1 . . . S_i=n according to the sequence of S_i=1 . . . S_i=n, so as to generate new supply information (RFx_ij,w);

updating RFx_ij,k based on RFx_ij,w; and

adjusting the corresponding W_{1j,k=1 . . . n} of R_ij,k,k=1 . . . R_ij,k,k=n corresponding to each of S_i=1 . . . S_i=n according to the updated RFx_ij,k.

2. The method for generating supply chain planning information as claimed in claim 1, wherein C_1j includes a supply quantity, a delivery date, or a transportation quantity.

3. The method for generating supply chain planning information as claimed in claim 1, wherein TC_i=1 includes a maximum profit, a lowest cost, a maximum transportation quantity, or a lowest transportation cost.

4. The method for generating supply chain planning information as claimed in claim 1, wherein R_1j,k includes a supplier, a logistics provider, or a retailer.

5. The method for generating supply chain planning information as claimed in claim 1, wherein Q_1j,k includes a quantity, a price, or a delivery date.

6. The method for generating supply chain planning information as claimed in claim 1, wherein when the method for generating supply chain planning information is repeatedly performed, the updated RFx_ij,k and W_{1j,k=1 . . . n} are set as CM_i=1 used for subsequent execution of the method for generating supply chain planning information.

7. The method for generating supply chain planning information as claimed in claim 1, wherein the information analysis rule includes a profit analysis rule, a cost analysis rule, a transportation quantity analysis rule, or a transportation cost rule.

8. The method for generating supply chain planning information as claimed in claim 1, wherein the numerical analysis rule includes a random number analysis rule, a weight analysis rule, or a study analysis rule.

9. The method for generating supply chain planning information as claimed in claim 1, wherein the step of generating S_i=2 . . . S_i=n through the planning engine includes the step of determining whether the planning engine has generated all of S_i=2 . . . S_i=nor not.

10. The method for generating supply chain planning information as claimed in claim 1, wherein in the step of generating RFx_ij,w, at least one of RFx_ij,k,i=2 . . . RFx_ij,k,i=n corresponding to S_i=1 . . . S_i=n is selected according to a selected value that is the number of the selected RFx_ij,k,i=2 . . . RFx_ij,k,i=n.

11. A system for generating supply chain planning information, wherein target condition (TC_i=1) set initially and supply information collection (CM_i=1) obtained outside are used to generate the first supply chain planning information (S_i=1) through a planning engine;

CM_i=1 includes at least one control factor (C_1j), and C_1j further includes at least one supply information (RFx_1j,k) containing a provider (R_1j,k), a quotation (Q_1j,k), and a weight (W_1j,k), and the system further enables the planning engine to generate more than one S_i=2 . . . S_i=n by dynamically adjusting C_1j and RFx_1j,k, the system comprising;

a select module used to store an information analysis rule and to select at least one C_1j from CM_i=1 according to the information analysis rule;

a numerical adjustment module used to store a numerical analysis rule, to change R_1j,k and Q_1j,k of RFx_1j,k in C_1j into RFx_ij,k,i=2 . . . RFx_ij,k,i=n according to the numerical analysis rule, and to select RFx_ij,k according to W_{1j,k=1 . . . n}, so as to generate CM_i=2 . . . CM_i=n;

a supply planning module used to combine CM_i=2 . . . CM_i=n with CM_i=1 in sequence and to generate the corresponding S_i=2 . . . S_i=n through the planning engine;

a sorting module used to sort S_i=1 . . . S_i=n based on TC_i=1;

a supply information control module used to select at least one RFx_ij,k,i=2 . . . RFx_ij,k,i=n corresponding to S_i=1 . . . S_i=n according to the sequence of S_i=1 . . . S_i=n, so as to generate new supply information (RFx_ij,w), and to update RFx_ij,k based on RFx_ij,w; and

a weight adjustment module used to adjust the corresponding W_{1j,k=1 . . . n} in R_ij,k,k=1 . . . R_ij,k,k=n corresponding to S_i=1 . . . S_i=n according to the updated RFx_ij,k.

12. The system for generating supply chain planning information as claimed in claim 11, wherein C_1j includes a supply quantity, a delivery date, or a transportation quantity.

13. The system for generating supply chain planning information as claimed in claim 11, wherein TC_i=1 includes a maximum profit, a lowest cost, a maximum transportation quantity, or a lowest transportation cost.

14. The system for generating supply chain planning information as claimed in claim 11, wherein R_1j,k includes a supplier, a logistics provider, or a retailer.

15. The system for generating supply chain planning information as claimed in claim 11, wherein Q_1j,k includes a quantity, a price, or a delivery date.

16. The system for generating supply chain planning information as claimed in claim 11, wherein W_1j,k is a weight value.

17. The system for generating supply chain planning information as claimed in claim 11, wherein the information analysis rule includes a profit analysis rule, a cost analysis rule, a transportation quantity analysis rule, or a transportation cost rule.

18. The system for generating supply chain planning information as claimed in claim 11, wherein the numerical analysis rule includes a random number analysis rule, a weight analysis rule, or a study analysis rule.

19. The system for generating supply chain planning information as claimed in claim 11, further comprising a determination module for determining whether the planning engine has generated all of S_i=2 . . . S_i=n or not.

20. The system for generating supply chain planning information as claimed in claim 11, wherein in the step of generating RFx_ij,w, at least one of RFx_ij,k,i=2 . . . RFx_ij,k,i=n corresponding to S_i=1 . . . S_i=n is selected through a selected value that is the number of the selected RFx_ij,k,i=2 . . . RFx_ij,k,i=n.