Methods and systems for electronics assembly system consultation and sales

• US 7,546,225 B2
• Filed: 06/01/2001
• Issued: 06/09/2009
• Est. Priority Date: 06/01/2000
• Status: Expired due to Fees

• Current Assignee: Siemens Electronics Assembly Systems LLC (ASM International NV)
• Original Assignee: Siemens Energy & Automation Incorporated (Siemens AG)
• Inventors: Gray, Robert, Nguyen, Tuan, Rawles, Ian, Mair, Thomas, Duck, Anthony Peter
• Primary Examiner(s): PHAN, THAI Q
• Application Number:
  US09/872,401
• Publication Number:
  US 20020082816A1
• Time in Patent Office: 2,930 Days
• Field of Search: 703 1- 2, 703 7- 22, 703/6, 705/27, 705/400, 705/7, 707/101, 707/102, 700/32
• US Class Current: 703/2
• CPC Class Codes: G05B 19/41885 characterised by modeling, simulation of the manufacturing system
• CPC Class Codes: G05B 2219/32338 Use new conditions for model, check, calculate if model meets objectives
• CPC Class Codes: G05B 2219/32343 Derive control behaviour, decisions from simulation, behaviour modelling
• CPC Class Codes: G05B 2219/32352 Modular modeling, decompose large system in smaller systems to simulate
• CPC Class Codes: G05B 2219/32359 Modeling, simulating assembly operations
• CPC Class Codes: G05B 2219/34038 Web, http, ftp, internet, intranet server
• 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 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

Methods and systems for electronics assembly system consultation and sales build upon an approach to modeling and simulation of such systems in which the system is modeled at a preselected level of abstraction, which in the preferred embodiment of the invention is the material flow level of abstraction. Models capable of producing accurate results, but that avoid predicting system events at too low a level of detail, in turn permit the generation of configuration options for a customer, along with substantiated performance predictions, within a comparatively short period of time, one that permits various assembly system configurations to be proposed and evaluated within the course of a particular customer visit.

Claims

1. A method for providing consulting services to a customer in connection with the customer'"'"'s electronics assembly system, comprising the steps of:

a. identifying a set of solutions opportunities for the customer'"'"'s electronics assembly system;

b. modeling, on a computer, the customer'"'"'s electronics assembly system in real time with the customer present;

c. defining one or more performance metrics for a proposed solution;

d. prioritizing the identified solutions by running the model for each of the identified solutions;

e. selecting a proposed solution from among the prioritized, identified solutions;

f. quantifying the benefit of the proposed solution relative to the one or more performance metrics; and

g. communicating the quantified benefit to the customer,

wherein the quantified benefit comprises a cost of ownership measure, and wherein the customer'"'"'s electronics assembly system is modeled within approximately one half hour, and wherein the model comprises a simulation”

.

2. The method according to claim 1, wherein the model. represents the electronics assembly system at a material flow level of abstraction.

3. The method according to claim 1, wherein the proposed solution comprises information relating to a machine in the electronics assembly system.

4. The method according to claim 1, wherein the proposed solution comprises information relating to a software tool in the electronics assembly equipment.

5. The method according to claim 3, wherein the proposed solution comprises information relating to an operating parameter of a machine in the electronics assembly system.

6. The method according to claim 1, further comprising the steps of:

h. modifying the configuration of a modeled electronics assembly system proposed solution to reflect information provided by the customer;

i. quantifying the benefit of the modified proposed solution relative to the one or more performance metrics; and

j. communicating the quantified benefit of the modified proposed solution to the customer.

7. A method for developing an electronics assembly equipment sales offer to a customer during a particular sales session, the method comprising the steps of:

a. identifying a set of customer requirements and constraints;

b. selecting an electronics assembly configuration, comprising electronics assembly equipment or its, operating parameters or both, for accomplishing the customer requirements;

c. establishing a model of an assembly system comprising the selected configuration;

d. running the model on a computer to generate at least one performance measure;

e. comparing the at least one performance measure against the customer constraints; and

f. if the at least one performance measure satisfies the customer constraints, offering to sell at least a subset of the electronics assembly equipment of the configuration to the customer,

wherein the offer is developed, with the benefit of the model, during the sales session, and

wherein the customer'"'"'s electronics assembly system comprising the selected configuration is modeled within approximately one half hour, and wherein the model comprises a simulation”

.

8. The method according to claim 7, wherein the model represents the electronics assembly system at a material flow level of abstraction.

9. The method according to claim 7, wherein the proposed configuration comprises information relating to a machine in the electronics assembly system.

10. The method according to claim 7, wherein the proposed solution comprises information relating to a software tool in the electronics assembly equipment.

11. The method according to claim 9, wherein the proposed configuration comprises information relating to an operating parameter of a machine in the electronics assembly system.

12. The method according to claim 7, wherein the performance measure relates to a cost of ownership measure.

13. A method for optimizing the performance of an electronics assembly system during a customer session, comprising the steps of:

a. establishing, during the session, a model of an assembly system having a plurality of possible configurations;

b. selecting a measure of performance for the assembly system;

c. selecting for evaluation a subset of the plurality of configurations;

d. selecting a criterion for the comparison of the subset of the plurality of configurations and selection of a preferred configuration;

e. running the model on a computer to predict the measure of performance for the system, for each of the subset of the plurality of configurations;

f. applying the criterion to the results obtained in step e to select a preferred configuration of the assembly system, and

g. quantifying a benefit of the preferred configuration, wherein the quantified benefit comprises a cost of ownership measure,

wherein the customer'"'"'s electronics assembly system is modeled within approximately one half hour, and wherein the model comprises a simulation”

.

14. The method according to claim 13, wherein the model represents the electronics assembly system at a material flow level of abstraction.

15. The method according to claim 13, wherein the preferred configuration includes information relating to a machine in the electronics assembly system.

16. The method according to claim 13, wherein the preferred configuration includes information relating to a software tool in the electronics assembly equipment.

17. The method according to claim 15, wherein the preferred configuration includes information relating to an operating parameter of a machine in the electronics assembly system.