摘要:
Methods of optimizing a preheat recipe for rapid thermal processing workpieces are provided. In one aspect, a method of manufacturing is provided that includes preheating a rapid thermal processing chamber according to a preheating recipe and processing a first plurality of workpieces in the rapid thermal processing chamber. Parameter measurements are performed on a first workpiece and a second workpiece of the first plurality of workpieces. The parameter measurements are indicative of processing differences between the first and second workpieces. An output signal is formed corresponding to the parameter measurements and a control signal based on the output signal is used to adjust the preheating recipe for preheating the rapid thermal processing chamber for processing a second plurality of workpieces in the rapid thermal processing chamber to reduce processing differences between first and second workpieces of the second plurality of workpieces.
摘要:
Method and system for automatically and accurately generating E10 reports based on a user-selected set of parameters, including date range, equipment and other parameters, are disclosed. In a preferred embodiment, the system of the present invention performs three primary functions; namely, a mapping function, a data extraction function and a reporting application function. The mapping function enables users to map WorkStream events into E10 defined states outside of the WorkStream database. The reporting application function provides several major functional capabilities, particularly, enabling a user to formulate restriction information, or "E10 data requests," for data extraction and reporting purposes. Each E10 data request identifies, as a function of facility (or manufacturing area), module, family and/or equipment, the equipment list for which data is to be accumulated, as well as a time period for reporting and duration type to report on. In addition, the reporting application function enables the user to display all E10 calculations for each piece of equipment in the extracted data set and to generate and display via a video terminal, printer and/or plotter, standard and custom graphic reports from the extracted E10 data calculations. The data extraction function provides the necessary data extraction capabilities and E10 data request management by managing and executing the requests submitted by users and purging old requests from the queue. In one aspect of the invention, the system comprises a user interface for facilitating the user's formulation of requests, mapping of WorkStream events to E10 states and substates, and viewing and/or printing reports in textual and graphical formats.
摘要:
A method for identifying faulty wafers includes processing a set of wafers in a tool; collecting tool state information during the processing of the set of wafers; generating a tool state information baseline; comparing the tool state information for each wafer to the tool state information baseline to identify any wafers with outlying tool state information; and designating a particular wafer in the set as suspect in response to identifying outlying tool state information for the particular wafer. A processing line includes a tool adapted to process a set of wafers, and a process controller. The process controller is adapted to collect tool state information during the processing of the set of wafers, generate a tool state information baseline, compare the tool state information for each wafer to the baseline tool state information to identify any wafers with outlying tool state information, and designate a particular wafer in the set as suspect in response to identifying outlying tool state information for the particular wafer.
摘要:
A system and method for calculating the performance of a cluster tool using a weighted configuration matrix. The system includes a computer system which maintains a database of entities corresponding to semiconductor wafer processing modules in a fab. A user "clusters" the entities, i.e., selects entities to reflect the relationship of the constituent modules physically linked together which form the cluster tool. The user also designates a main module against which the main performance events of the cluster tool, such as begin run and end run, are logged in the database. The computer system configures all of the "up" and "down" state configuration combinations of the cluster tool modules and displays the configurations for the user. The user specifies a weight for each of the configurations based upon an estimate of the performance the cluster tool while in the respective configuration relative to the performance of the cluster tool in a fully operable configuration. For example, the user may choose the weights based upon the throughput of wafers capable of being processed by the cluster tool in each of the respective configurations, the number of wafer processes capable of being performed by the cluster tool in each of the respective configurations, or the economic value added (EVA) by the wafer processes capable of being performed by the cluster tool in each of the respective configurations. The computer system compiles the configurations and received weights into a weighted configuration matrix which is used to calculate the performance of the cluster tool. In particular, the E10 metrics and OEE metric components are calculated as a measure of the reliability, availability, maintainability, operational efficiency and utilization aspects of performance of the cluster tool over a total period of time. Formulas for calculating various of the metrics using the configuration matrix are provided. The method is applicable to both sequential and parallel type cluster tools and does not require additional data tracking beyond currently tracked data.