An optimal residency-aware scheduling technique for cluster tools with buffer module

• Published in: IEEE transactions on semiconductor manufacturing Vol. 17; no. 1; pp. 68 - 73
• Main Authors: Rostami, S., Hamidzadeh, B.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2004; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Blades; Buffers; Clusters; Computer science; control theory; systems; Control theory. Systems; Electronics; Exact sciences and technology; Flexible manufacturing systems; Job shop scheduling; Manufacturing; Manufacturing processes; Mathematical models; Microelectronic fabrication (materials and surfaces technology); Optimal scheduling; Robotics; Robots; Scheduling; Semiconductor device manufacture; Semiconductor device modeling; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Semiconductors; Throughput; Time factors; Time measurements; Timing; Wafers; Buffer; Cluster tools; Residence time; Optimal algorithm; Constraint; Scheduling; Buffer system; Robotics; Microelectronic fabrication; Algorithm performance; Manufacturing process; System description; residency constraints; Limit; deadline
• ISSN: 0894-6507; 1558-2345
• DOI: 10.1109/TSM.2003.822725

Cluster tools provide a flexible, reconfigurable, and efficient environment for several manufacturing processes (e.g., semiconductor manufacturing). A new timing constraint (distinct from a simple deadline), referred to as residency constraint, puts a timing limit on the time that a wafer can stay in a processing module in a cluster tool. The authors demonstrate that a solution that does not address residency constraints can be found easily. However, when residency constraints are added to the model, the problem becomes complex and a scheduling technique may spend a long time searching for a good solution. Also, in some cases, one may need to decrease throughput to satisfy residency constraints. The authors introduce a new technique to address cluster tool scheduling in the presence of residency constraints. The proposed technique uses a buffer resource for temporarily holding wafers to release other resources such as the robot arm. This resource is usually available in the tool for maintenance reasons. A tradeoff is discussed in using the buffer resource and a scheduling algorithm is presented that will use this resource when it can help to increase throughput under residency constraints. The experiments show that in many cases that are common in semiconductor manufacturing, use of their proposed technique can improve throughput.