SYSTEM AND METHOD FOR PERFORMANCE BASED PRODUCTION SCHEDULING AND DISPATCHING

• US 20090171493A1
• Filed: 12/31/2007
• Published: 07/02/2009
• Est. Priority Date: 12/31/2007
• Status: Abandoned Application

• Current Assignee: Intel Corporation
• Original Assignee: Intel Corporation
• Inventors: Shah, Nitin A, Govind, Nirmal, Patel, Nital S.
• Application Number:
  US11/968,140
• Publication Number:
  US 20090171493A1
• Time in Patent Office: Days
• US Class Current: 700/103
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G05B 19/41865 characterised by job scheduling, process planning, material flow
• CPC Class Codes: G05B 2219/32247 Real time scheduler
• CPC Class Codes: G05B 2219/32291 Task sequence optimization
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

Execution control systems for optimizing the efficiency of manufacturing processes are described in this application. For example, an execution management system may optimize IC processes and scheduling by analyzing a number of desired metrics along with system constraints, such as tool availability, tool reliability, etc, along with information from conventional processing tools such as APC and SPC. The optimized processing schedule may then be implemented in real-time and updated with new process requests and current information relating to tools and other metrics, thereby reducing human interaction and inefficiency. Other embodiments are also described in this application.

Claims

1. An execution control system, comprising:

a scheduling system configured to mathematically optimize one or more processes to be performed by the execution control system;

a process control system configured to control processes to be performed by the system;

model constraints information corresponding to physical limitations of the processes to be performed by the system; and

a mechanism configured to implement guidance in process scheduling related to the scheduling system and the model constraints.

2. The system of claim 1, wherein the scheduling system is integrated with a real-time dispatcher.

3. The system of claim 1, wherein the optimization solver includes optimization based at least in part on comparing interactions between at least two process objectives, wherein increased efficiency of one process objective is related to decreased efficiency in another process objective.

4. The system of claim 1, wherein the guidance related to the scheduling system is one or more of tool-level, lot-level, and lot-tool-level guidance.

5. The system of claim 4, wherein the tool-level guidance includes instructions related to at least one of load balancing, APC, SPC, feedback-based batching, preventative maintenance counters, and end-of-line metrics.

6. The system of claim 4, wherein the lot-level guidance includes instructions related to at least one of priority lot, preferential tighter-control lot, qualification lot minimization, and test wafer and monitor scheduling.

7. The system of claim 4, wherein the tool-lot-level guidance includes instructions related to at least one of dedication and steering.

12. The method of claim 8, the system of claim 1, wherein the guidance configured to increase efficiency is one or more of tool-level, lot-level, and lot-tool-level guidance.

13. The system of claim 12, wherein the tool-level guidance includes instructions related to at least one of load balancing, APC, SPC, feedback-based batching, preventative maintenance counters, and end-of-line metrics.

14. The system of claim 12, wherein the lot-level guidance includes instructions related to at least one of hot lot, preferential tighter-control lot, send-ahead lot minimization, and test wafer and monitor scheduling.

15. The system of claim 12, wherein the tool-lot-level guidance includes instructions related to at least one of dedication and steering.

8. A method of controlling manufacturing processes, including:

mathematically optimizing each of a plurality of processes to be performed;

providing model constraints information corresponding to physical limitations of processes to be controlled; and

developing guidance configured to increase efficiency by scheduling the plurality of processes based on the mathematically optimizing and the model constraints information;

implementing the guidance in process scheduling of the plurality of processes to be performed.

9. The method of claim 8, wherein the mathematically optimizing is performed by a scheduler.

10. The method of claim 8, wherein the process scheduling is real-time scheduling.

11. The method of claim 8, wherein the mathematically optimizing includes optimization based at least in part on comparing interactions between at least two process objectives, wherein increased efficiency of one process objective is related to decreased efficiency in another process objective.