Abstract
For some wafer fabrication processes in cluster tools, e.g., atomic layer deposition (ALD), wafer revisiting is required. Typically, in such processes, wafers need to visit two consecutive processing steps several times. Such a revisiting process can be denoted as (m(i), m(i+1))(h), where i means the ith-step and m(i) and m(i+1) mean the corresponding quantity of the processing modules in i and (i+1)th steps, and h the number of visiting times. This paper conducts a study for scheduling single-arm cluster tools with such a wafer revisiting process. The system is modeled by Petri nets (PNs) to guarantee the feasibility of robot activities. Based on the model, a deadlock avoidance policy is presented. With the control policy, cycle time analysis for the revisiting process is made. With the fact that wafer processing times are much longer than robot movement times in cluster tools, it is shown that, when m(i) = m(i+1) = 1, i.e., each step has only one processing module, the optimal one-wafer cyclic schedule is deterministic and unique, and the minimal cycle time can be calculated by an analytical expression. It is also shown that, when m(i) = 1 and m(i+1) = 2 or m(i) = 2 and m(i+1) = 1, the optimal one-wafer cyclic schedule can be obtained by finding h deterministic schedules and the one with the least cycle time. A novel analytical method is finally presented to schedule the overall system containing such reentrant wafer flow. This represents a significant advance in single-arm cluster equipment automation.
Note to Practitioners-This paper addresses the scheduling problem of single-arm cluster tools with reentrant atomic layer deposition (ALD) processes-a typical wafer revisiting pattern in semiconductor fabrication. The revisiting process is characterized by two consecutive processing steps that must repeat h times. By analyzing the mechanism of such revisiting process, this paper presents a formal PN-based model and scheduling method such that an optimal one-wafer cyclic schedule can be found by comparing only h deterministic schedules. Thus, it is readily applicable to semiconductor manufacturing applications that require reentrant ADL processes.