WO2005045907A1 - 半導体集積回路装置の製造方法 - Google Patents
半導体集積回路装置の製造方法 Download PDFInfo
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- WO2005045907A1 WO2005045907A1 PCT/JP2004/015835 JP2004015835W WO2005045907A1 WO 2005045907 A1 WO2005045907 A1 WO 2005045907A1 JP 2004015835 W JP2004015835 W JP 2004015835W WO 2005045907 A1 WO2005045907 A1 WO 2005045907A1
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L22/00—Testing or measuring during manufacture or treatment; Reliability measurements, i.e. testing of parts without further processing to modify the parts as such; Structural arrangements therefor
- H01L22/20—Sequence of activities consisting of a plurality of measurements, corrections, marking or sorting steps
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32179—Quality control, monitor production tool with multiple sensors
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L21/00—Processes or apparatus adapted for the manufacture or treatment of semiconductor or solid state devices or of parts thereof
- H01L21/67—Apparatus specially adapted for handling semiconductor or electric solid state devices during manufacture or treatment thereof; Apparatus specially adapted for handling wafers during manufacture or treatment of semiconductor or electric solid state devices or components ; Apparatus not specifically provided for elsewhere
- H01L21/67005—Apparatus not specifically provided for elsewhere
- H01L21/67242—Apparatus for monitoring, sorting or marking
- H01L21/67276—Production flow monitoring, e.g. for increasing throughput
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01L—SEMICONDUCTOR DEVICES NOT COVERED BY CLASS H10
- H01L2924/00—Indexing scheme for arrangements or methods for connecting or disconnecting semiconductor or solid-state bodies as covered by H01L24/00
- H01L2924/0001—Technical content checked by a classifier
- H01L2924/0002—Not covered by any one of groups H01L24/00, H01L24/00 and H01L2224/00
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S707/00—Data processing: database and file management or data structures
- Y10S707/99931—Database or file accessing
Definitions
- the present invention relates to a technology for manufacturing a semiconductor integrated circuit device, and particularly to a technology effective when applied to a technology for manufacturing a semiconductor integrated circuit device for detecting a defect in a semiconductor wafer.
- Patent Document 1 Japanese Patent Application Laid-Open No. 2000-269108 describes a technique in which a sensor is attached to a semiconductor manufacturing apparatus and an abnormality in a process line is detected based on waveform data of the attached sensor.
- Patent Document 2 Japanese Patent Application Publication No. 2002-515650 (Patent Document 2) describes a technique for improving the yield by using defect information of a semiconductor wafer.
- Patent Document 1 JP-A-2000-269108
- Patent Document 2 Japanese Patent Publication No. 2002-515650
- Semiconductor products are formed by repeatedly performing a film formation process and a patterning process using photolithography technology and etching technology on a semiconductor wafer (hereinafter referred to as a wafer). A total of 1000-2000 processes are required to complete, depending on the product.
- Wafers processed in each of the above-described film forming process and patterning process are managed as a lot of 25 wafers in a mass production plant for ordinary semiconductor products. In each process, the wafer is inspected to see if the wafer satisfies the standard that is determined so that the finished semiconductor product operates as designed! /
- the standard used in the sampling inspection of each process is determined in consideration of the variation of each wafer. If the standard is satisfied by performing the sampling inspection, the product defect originally caused by the process is determined. Does not occur.
- An object of the present invention is to provide a method for manufacturing a semiconductor integrated circuit device capable of detecting a nonstandard defective wafer in real time.
- Another object of the present invention is to provide a method of manufacturing a semiconductor integrated circuit device that can efficiently detect an out-of-specification defective wafer without the labor of an engineer.
- a method of manufacturing a semiconductor integrated circuit device includes: (a) a semiconductor manufacturing device for processing a semiconductor wafer; and device log data indicating the state of the semiconductor manufacturing device. A step of storing in the data storage unit; (b) a step of detecting by the abnormal data detection unit whether there is any abnormal data in the device log data stored in the device log data storage unit; Outputting the result detected by the data detection unit to the result output unit.
- the method for manufacturing a semiconductor integrated circuit device includes: (a) a semiconductor manufacturing apparatus for forming a film on a semiconductor wafer, wherein the high-frequency power supply applies a high-frequency electric field in a chamber and the high-frequency power supply From a semiconductor manufacturing apparatus having a matcher connected to the Outputting the average value of the reflected waves of the matcher and storing the average value in the device log data storage unit. (B) The average value of the reflected waves stored in the device log data storage unit is smaller than a predetermined value.
- the method includes a step of detecting whether there is a large data by the abnormal data detecting unit, and a step (c) of outputting a result detected by the abnormal data detecting unit to a result output unit.
- the method for manufacturing a semiconductor integrated circuit device includes: (a) a semiconductor manufacturing device that performs etching, wherein the semiconductor manufacturing device includes a valve for adjusting a pressure in an etching chamber; Outputting the opening degree of the valve and storing it in an apparatus log data storage unit; and (b) determining whether any of the opening degrees stored in the apparatus log data storage unit is larger than a predetermined value. And (c) outputting a result detected by the abnormal data detection unit to a result output unit.
- a) alignment measurement data used for alignment of a semiconductor wafer is output from an exposure apparatus and stored in an apparatus log data storage unit.
- the method of manufacturing a semiconductor integrated circuit device after changing along a complicated course (for example, passing through a plurality of local maxima or minima before a parameter reaches a defective area), causes a failure.
- a method of manufacturing a semiconductor integrated circuit device in which a wafer to be processed is processed by a semiconductor manufacturing apparatus including a functional portion having a parameter (for example, a matcher) having an area the parameter is continuously, periodically, intermittently, or randomly.
- a functional portion having a parameter for example, a matcher
- the method of manufacturing a semiconductor integrated circuit device according to the present invention is directed to a semiconductor manufacturing device (eg, heat treatment, thermal oxidation, annealing, CVD device, etc.) for processing a wafer by lamp heating.
- a semiconductor manufacturing device eg, heat treatment, thermal oxidation, annealing, CVD device, etc.
- An out-of-specification defective wafer can be detected in real time.
- an out-of-specification defective wafer can be efficiently detected without the need for engineers.
- FIG. 1 is a diagram showing a configuration of an abnormality detection system according to Embodiment 1 of the present invention.
- FIG. 2 is a diagram showing an internal configuration of an abnormality detection server.
- FIG. 3 is a diagram illustrating a logic for detecting a sudden abnormality.
- FIG. 4 is a diagram illustrating a logic for detecting a drift abnormality.
- FIG. 5 is a diagram illustrating a logic for detecting a variation abnormality.
- FIG. 6 is a diagram illustrating a logic for detecting an abnormality using periodic device log data.
- FIG. 7 is a diagram showing a relationship between an abnormality detection condition setting file, a fatal alarm data setting file, an unnecessary data setting file, an additional monitoring data setting file, and files under the file.
- FIG. 8 is a diagram showing the contents of an abnormality detection condition setting file.
- FIG. 9 is a diagram showing the contents of a device group designation file.
- FIG. 10 is a diagram showing the contents of a device log data detection ONZOFF setting file.
- FIG. 11 is a diagram showing an example of setting upper and lower limit values.
- FIG. 12 is a diagram describing only search key items, device log data types, and ⁇ coefficients set in the abnormality detection condition setting file.
- FIG. 13 is a diagram showing the contents of a header of device log data.
- FIG. 14 is a diagram showing the contents of a calculation formula definition file.
- FIG. 15 is a diagram showing the contents of an error message definition file.
- FIG. 16 is a diagram showing the contents of an attached file.
- FIG. 17 is a diagram showing the contents of a fatal alarm data setting file.
- FIG. 18 is a diagram showing the contents of an unnecessary data setting file.
- FIG. 19 is a diagram showing the contents of an additional monitoring data setting file.
- FIG. 20 is a diagram showing output contents of a detection result.
- FIG. 21 is a diagram showing output contents of a detection result.
- FIG. 22 is a diagram showing output contents of a detection result.
- FIG. 23 is a diagram showing the contents of an attached file.
- FIG. 24 is a diagram showing output contents of a detection result.
- FIG. 25 is a diagram showing output contents of a detection result.
- FIG. 26 is a flowchart illustrating an operation of detecting an abnormality using device log data.
- FIG. 27 is a flowchart illustrating an operation of detecting an abnormality using device log data.
- Fig. 28 is a flowchart illustrating an operation of detecting an abnormality using device alarm data.
- this is a diagram schematically showing a deviation between a base pattern of a wafer actually measured by an exposure apparatus and an ideal grating included in the exposure apparatus.
- FIG. 30 is a diagram showing a situation where a sudden abnormality has occurred in AGA measurement data.
- FIG. 31 is a diagram showing a configuration of an etching apparatus in a third embodiment.
- FIG. 32 is a view showing a relationship between a wafer number and an opening degree of an APC valve.
- FIG. 33 is a diagram showing a configuration of a plasma CVD apparatus in a fourth embodiment.
- FIG. 34 is a diagram showing the relationship between the number of wafers and the average value of RF reflected waves.
- FIG. 35 is a diagram showing a configuration of a CVD apparatus in a fifth embodiment.
- FIG. 36 is a diagram showing a relationship between time and lamp power.
- a semiconductor wafer is a silicon single crystal substrate (generally a substantially circular plane), a sapphire substrate, a glass substrate, other insulating, anti-insulating or semiconductor substrates, etc., and their composite substrates used in the manufacture of integrated circuits.
- semiconductor integrated circuit device is not limited to a device formed on a semiconductor such as a silicon wafer or a sapphire substrate or an insulator substrate, and unless otherwise specified, a TFT (
- STN thin-film-transistor
- STN super-twisted-nematic
- the device log data is data output from the semiconductor manufacturing apparatus, and is data indicating the state of the semiconductor manufacturing apparatus or data generated by performing an operation on the data indicating the state of the semiconductor manufacturing apparatus. ⁇ .
- the past data is data stored in the equipment data management server, and is device log data for which it has been determined in the past whether or not there is an abnormality.
- the device alarm data is data in which the power of the semiconductor manufacturing device is also output, and is data indicating an abnormality of the semiconductor manufacturing device.
- Fatal alarm data is data indicating fatal abnormalities in processing semiconductor wafers among device alarm data! , U.
- the additional monitoring data refers to data for monitoring how many times the device alarm data is output from the semiconductor manufacturing device in a certain time period.
- the number of elements when referring to the number of elements (including the number, numerical value, amount, range, etc.), it is particularly limited to a specific number and is clearly limited to a specific number in principle. Except in some cases, the number is not limited to the specific number but may be more than or less than the specific number. [0031] Further, in the following embodiments, the constituent elements (including element steps and the like) are not necessarily required unless otherwise specified or in principle considered to be clearly essential. Not required, needless to say.
- Embodiment 1 describes a method of manufacturing a semiconductor integrated circuit device when a semiconductor manufacturing device is connected to an abnormality detection system.
- FIG. 1 is a functional block diagram showing an abnormality detection system used in the method for manufacturing a semiconductor integrated circuit device according to the first embodiment.
- the abnormality detection system includes a semiconductor manufacturing apparatus 1A-1C, worker terminal devices 2A-2C, data handling servers 3A and 3B, equipment data management server 4, and abnormality detection server 5. And an Engineer PC (Personal Computer) 6.
- a semiconductor manufacturing apparatus 1A-1C worker terminal devices 2A-2C, data handling servers 3A and 3B, equipment data management server 4, and abnormality detection server 5.
- an Engineer PC Personal Computer
- Semiconductor manufacturing apparatuses 1A-1C are electrically connected to worker terminal apparatuses 2A-2C, respectively. Further, the worker terminal devices 2A-2C, the data handling servers 3A and 3B, the equipment data management server 4, and the abnormality detection server 5 are connected to each other via a LAN (Local Area Network). Further, the engineer PC 6 may be connected to the LAN described above, or may be connected via the Internet or the like.
- LAN Local Area Network
- FIG. 1 shows a state of being connected by a wired LAN, but is not limited thereto, and may be connected by a wireless LAN or may be connected to each other by the Internet.
- FIG. 1 shows an example in which three semiconductor manufacturing apparatuses 1A to 1C are connected. However, the present invention is not limited to this, and the number may be increased or decreased.
- the semiconductor manufacturing apparatuses 1A to 1C are apparatuses for processing a wafer in order to form a semiconductor device on the wafer, and for example, a CVD (Chemical Vapor) for forming a film on the wafer.
- CVD Chemical Vapor
- Deposition equipment, sputtering equipment, ion implantation equipment that injects ions as impurities into the wafer, coating and developing equipment that applies and develops a resist film on the wafer, and forms a circuit pattern on the wafer coated with a resist film
- sputtering equipment ion implantation equipment that injects ions as impurities into the wafer
- coating and developing equipment that applies and develops a resist film on the wafer, and forms a circuit pattern on the wafer coated with a resist film
- the semiconductor manufacturing apparatus 1A-1C is an apparatus for taking out and processing wafers one by one from a lot of 25 wafers in one lump, and regularly outputs apparatus log data (parameters) indicating the state of the apparatus. Output to worker terminal 2A-2C. Further, the semiconductor manufacturing devices 1A-1C output device alarm data indicating the device abnormality to the worker terminal devices 2A-2C when an abnormality occurs in the semiconductor manufacturing devices 1A-1C. Further, the semiconductor manufacturing apparatuses 1A-1C output a lot end signal (end signal) when the processing of one lot of wafers is completed. Note that the device log data may be output not only periodically but also continuously, intermittently, or randomly from the semiconductor manufacturing devices 1A-1C !.
- the device log data includes, for example, a plurality of header portions and body portions.
- header part data such as the name of the finished product, the name of the process being started, the start conditions, and the name of the semiconductor manufacturing equipment that has been started are written.
- measured value data is written in the body part.
- Specific device log data varies depending on the type of semiconductor manufacturing apparatus. For example, when the semiconductor manufacturing apparatus is an exposure apparatus, measurement of global alignment processing for automatically measuring and correcting wafer misalignment is performed. The results include alignment measurement data and focus correction value data. If the semiconductor manufacturing equipment is a CVD equipment, there are gas flow rate data and stage temperature data. If the semiconductor manufacturing equipment is a vacuum equipment, the vacuum pressure data and the opening degree of APC (Auto Pressure Control) valve are displayed. For example, there is aperture data shown.
- APC Automatic Pressure Control
- the worker terminal devices 2A-2C serve as an interface between the semiconductor manufacturing equipment 1A-1C and the worker, and allow the worker to control the semiconductor manufacturing equipment 1A-1C. It is provided in.
- the worker terminal device 2A-2C is a semiconductor manufacturing device 1A-1C
- An interface is provided to output the output device log data and device alarm data to the data handling servers 3A and 3B.
- the worker terminal devices 2A-2C can download the starting conditions to the semiconductor manufacturing devices 1A-1C and instruct the start of the starting operations.
- the data handling servers 3A and 3B control the equipment log data and the equipment alarm data output from the semiconductor manufacturing equipment 1A-1C via the worker terminal equipment 2A-2C. It is configured to be able to output data.
- the data handling servers 3A and 3B provide equipment log data and equipment alarm data that could not be output when the equipment data management server 4 went down in order to improve the reliability of data collection by the equipment data management server. Can be temporarily stored.
- the data handling sanoes 3A and 3B are configured to collectively output data that could not be output after the equipment data management sano returns.
- the facility data management server 4 is a database for storing device log data and device alarm data.
- the device data management server 4 has a device log that has been detected in the past by the abnormality detection server 5 as to whether or not there is an abnormality. It has a past data storage unit 4a for storing data (past data).
- the equipment data management server 4 is configured to output device log data and device alarm data input from the data handling servers 3A and 3B to the abnormality detection server 5.
- the equipment data management server 4 also stores device log data to be detected as to whether or not there is an abnormality.
- the abnormality detection server 5 is configured to be able to temporarily store the device log data and device alarm data input from the facility data management server 4, and output from the semiconductor manufacturing devices 1A-1C. A lot end signal can be received. Then, upon receiving the lot end signal, the abnormality detection server 5 detects whether or not there is any abnormal data in the temporarily stored device log data, and reports the detection result to each worker terminal device (results). Output section) It is configured to output to 2A-2C or engineer PC (result output section) 6.
- the engineer PC 6 is a computer used by an engineer, and is configured to be able to input and display a detection result by the abnormality detection server 5.
- the abnormality detection server 5 includes a device log data storage unit 10, a device alarm data storage unit 11, a lot end signal reception unit 12, a first detection condition storage unit 13, and a second detection condition storage unit 14. And an abnormal data detection unit 15.
- the device log data storage unit 10 is configured to store the device log data input from the facility data management server, and is configured with, for example, a cache memory.
- the device log data storage unit 10 stores, for example, device log data output each time the processing of a wafer is completed in the semiconductor manufacturing apparatuses 1A to 1C.
- the device alarm data storage unit 11 stores device alarm data input from the facility data management server 4, and is configured, for example, as a cache memory.
- the lot end signal receiving unit (end signal receiving unit) 12 is configured to receive the lot end signal transmitted from the semiconductor manufacturing apparatus 1A-1C.
- the abnormality detection server 5 detects whether there is abnormal data in the apparatus log data stored in the apparatus log data storage section 10.
- the first detection condition storage unit 13 is for storing conditions for performing an abnormality detection of the device log data, and is configured by, for example, a node disk.
- the first detection condition storage unit 13 stores, for example, an abnormality detection condition setting file 13a.
- the second detection condition storage unit 14 stores a file for performing abnormality detection based on the device alarm data, and is composed of, for example, a disk and a hard disk.
- the files stored in the second detection condition storage unit 14 include a fatal alarm data setting file 14a, an unnecessary data setting file 14b, and an additional monitoring data setting file 14c.
- the abnormal data detector 15 is configured to detect whether there is abnormal data in the device log data stored in the device log data storage 10. That is, when the lot end signal receiving unit 12 receives the lot end signal, the abnormal data detecting unit 15 refers to the contents of the abnormal detection condition setting file 13a stored in the first detection condition storage unit 13.
- the device log data storage unit 10 is configured to detect an abnormality of the device log data stored in the device log data storage unit 10 based on the acquired condition.
- the abnormal data detector 15 inputs the device alarm data stored in the device alarm data storage 11 and inputs the device alarm data. It is determined whether the device alarm data is stored in the second detection condition storage unit 14 and corresponds to the content of the critical alarm data setting file 14a, unnecessary data setting file 14b, or additional monitoring data setting file 14c. It is configured to perform detection.
- FIG. 3 is a diagram illustrating a logic for detecting a sudden abnormality that occurs suddenly.
- the horizontal axis indicates the wafer number, and the vertical axis indicates the value of the apparatus log data.
- the value of the equipment log data corresponding to wafer No. "11” is approximately "2.2", which is significantly higher than the equipment log data corresponding to other wafer numbers. It is getting higher. This means that a sudden abnormality may occur in the semiconductor manufacturing apparatus that processes the wafer of the wafer No. “11”, and the wafer of the wafer No. “11” may be defective. .
- an ⁇ determination method that calculates an average value and a standard deviation from past data in which the presence or absence of an abnormality is detected in the past and uses the calculated average value and the standard deviation is is there. That is, as shown in FIG. 1, the past data storage unit 4a in the equipment data management server 4 stores device log data in which the presence or absence of an abnormality in the past is detected. For this reason, the abnormal data detection unit 15 accesses the past data storage unit 4a to extract the target past data, and calculates the average value and the standard deviation of the extracted past data force. Then, the current device log data is determined based on the calculated average value and standard deviation. You can do it.
- past data stored in the past data storage unit 4a includes not only data determined to be normal but also data determined to be abnormal. Therefore, when past data is simply extracted, past data determined to be abnormal as well as past data determined to be normal may be extracted. Therefore, upper and lower limits can be set for past data, and past data that deviates from the set upper and lower limit values can be prevented from being used for calculating the average value and the standard deviation. Also, by using a screening method, past data determined to be abnormal can be removed.
- the ⁇ determination method using the average value and the standard deviation calculated from the past data for the lower limit value and the upper limit value for detecting the abnormality of the device log data has been described, but is not limited thereto.
- an engineer may use an upper / lower limit determination method in which an upper limit and a lower limit are set.V, and may use a width determination method in which a width from an average value is set instead of the upper / lower limit! / ,.
- the ⁇ determination method using past data in the case of data in which there is almost no change in the value of the device log data in a normal state, the calculated standard deviation is small, so that the value is within the normal range. Even fluctuations are detected as abnormal. In this case, the occurrence of false alarm can be suppressed by using a width determination method that specifies a constant width that is normal rather than the ⁇ determination method.
- FIG. 4 is a diagram illustrating a logic for detecting a drift abnormality.
- the horizontal axis indicates the port number, and the vertical axis indicates the ultimate vacuum, which is one of the device log data.
- the ultimate vacuum pressure drifts and becomes worse.
- the ultimate vacuum pressure exceeds the failure boundary line that causes product failure, and a large number of wafer failures are produced. Therefore, increase the lot number as a method to detect drift abnormalities. If the increase in the vacuum attainment per minute (the slope of the straight line in FIG. 4) exceeds a predetermined value, it is determined that there is an abnormality, thereby making it possible to prevent a large number of defective wafers from being produced.
- FIG. 4 has described the case where the apparatus log data is output in lot units instead of being output from the semiconductor manufacturing apparatuses 1A-1C in wafer units. That is, in the first embodiment, the case where the apparatus log data is output from the semiconductor manufacturing apparatuses 1A-1C in wafer units and abnormality detection is started based on the lot end signal has been described, but the present invention is not limited to this. However, as shown in Fig. 4, it can be applied to the case where the equipment log data is output in lot units and an abnormality is detected based on the notch end signal output when the processing of one batch is completed. it can.
- FIG. 5 is a diagram illustrating a logic for detecting a variation abnormality.
- the horizontal axis indicates the wafer number, and the vertical axis indicates the device log data.
- the variation in the equipment log data between the wafers in the first lot (wafer No. 25)
- the variation in the equipment log data between the wafers in the second lot (wafer No. 26 and later) Is getting bigger.
- the standard deviation of the equipment log data is calculated for each lot, and the standard deviation of the lot currently targeted for abnormality detection is, for example, one lot earlier than the previous lot. In the case where the value is abnormally higher than the standard deviation in, it is possible to detect the variation abnormality by determining that the variation is abnormal.
- FIG. 6 is a diagram illustrating a logic for detecting an abnormality using periodic device log data.
- the horizontal axis indicates the wafer number
- the vertical axis indicates the device log data.
- the apparatus log data on the vertical axis for example, there is data corresponding to the focal position (best force) in the exposure apparatus.
- the lens for projecting the reticle onto the wafer is initially cooled, but the temperature rises as it is used and reaches a certain temperature. When the temperature rises, the lens expands, the refractive index changes, and the focal position changes. Therefore, as shown in Fig.
- the equipment log data fluctuates with the temperature change, and the temperature of the subsequent wafers becomes constant, so that the equipment log data has a constant value. Come to take . Such a tendency appears periodically each time a lot is replaced. If a focus position with a stabilized temperature is used, a wafer to be processed at the beginning of a lot may be exposed with a slightly defocused state, resulting in a defect. Therefore, by setting the device log data to periodic data and setting a threshold value, an abnormality that appears periodically can be detected.
- the abnormality detection logic implemented in the abnormal data detection unit 15 described with several examples of the logic for detecting an abnormality in the device log data in the abnormality data detection unit 15 is as follows. It can be set in the abnormality detection condition setting file 13a shown in FIG. In addition, in the logic for detecting a sudden abnormality, it is possible to set whether the sudden abnormality is detected by using the ⁇ determination method, the upper / lower limit determination method, or the width determination method as described above. ing.
- FIG. 7 shows the relationship between the abnormality detection condition setting file 13a, the fatal alarm data setting file 14a, the unnecessary data setting file 14b, and the additional monitoring data setting file 14c, and the files thereunder. .
- the files used for abnormality detection using the device log data are the error detection condition setting file 13a, the calculation formula definition file 15a, the abnormal value deletion definition file 16, the device log data detection ONZOFF setting file 17, error message definition file 18, e-mail address setting file 19, attached file 20, and device group specification file 21.
- the abnormality detection condition setting file 13a is an original file for setting conditions for detecting an abnormality in device log data, and has a structure shown in FIG. Although FIG. 8 shows two columns for the sake of space, it actually has a continuous data structure.
- the abnormality detection condition setting file 13a roughly includes items such as a search key, a device log data setting section, common, ⁇ abnormality determination, upper and lower limit value determination, width abnormality determination, and the like. For example, look at the settings specified in condition No. 1 of this error detection condition setting file 13a. Then, "A” is specified as a setting key under the device name in the search key, and " ⁇ " is specified for the device name, product name, and process name. “ON” is specified for the worker terminal display ONZOFF, and the mail delivery destination is “everyone”. “G1” is designated as the device log data device name. To explain the lower display, the judgment method is “in the mouth”, “1” is specified for the error message, and “101” is specified for the attached file. In the ⁇ abnormality determination, “ ⁇ ” is set for the determination ONZOFF and “3” is set for the ⁇ coefficient.
- the contents of the condition Nol of the abnormality detection condition setting file 13a are as follows. That is, since the device name is described as ⁇ G1 '' in the device log data device name, the device log data for which abnormality is to be detected is ⁇ G1 '', and the determination method is ⁇ in lot ''. Therefore, after receiving the lot end signal, the setting is made so as to determine whether there is any abnormality in the apparatus log data (25 pieces) for one wafer lot.
- the judgment method at this time is ⁇ abnormality judgment because the judgment ONZOFF of ⁇ abnormality judgment is “ ⁇ ”, and the allowable value range at that time is ⁇ coefficient “3”. 3 ⁇ ”. Note that the determination method may be set to “continuous” instead of “in-lot”.
- the abnormality detection server 5 each time the device log data is input to the abnormality detection server 5, the presence / absence of the device log data is determined. Is done. That is, each time the device log data is stored in the device log data storage unit 10, the abnormality detection server 5 can determine whether the device log data has an abnormality.
- the output destination of the detection result when an abnormality is detected is that the worker terminal display ONZOFF is “ ⁇ ” and the mail delivery destination S is “all”, so the worker terminal device 2 ⁇ — 2
- the detection result is output to the engineer PC6 of all engineers registered in C and the email address setting file.
- the content described in "1" of the error message definition file is output because the error message S "l" and the attached file are set to "101". It is set so that the attached file “101” is attached.
- Condition Nol indicates the force set to “A” for this setting key.
- This setting key indicates that the semiconductor manufacturing apparatus has been grouped.
- the condition Nol is set, the number of semiconductor manufacturing apparatuses corresponding to the condition Nol is limited to one.
- the same condition is set for a plurality of semiconductor manufacturing apparatuses, the same condition must be set for each semiconductor manufacturing apparatus, and the setting operation becomes complicated. Therefore, as shown in FIG. 8, a setting key item is provided in the abnormality detection condition setting file 13a so that setting can be performed for a plurality of semiconductor manufacturing apparatuses by one condition Nol. In this way, the group setting can be set, so that the condition setting work of the operator can be reduced.
- FIG. 9 As a file for setting a group of semiconductor manufacturing apparatuses, there is an apparatus group specification file 21, and an example of the contents of the apparatus group specification file 21 is shown in FIG.
- a group having a device grouping name “A” includes a semiconductor manufacturing device having a name of “F-01”-“E-04”! /.
- the grouping of semiconductor manufacturing equipment can be freely set.
- the device log data detection ONZOFF setting file 17 will be described.
- the file that makes this setting is the device log data detection ONZOFF setting file 17.
- FIG. 10 shows an example of the contents of the device log data detection ONZOFF setting file 17.
- Figure In 10 ! eight semiconductor manufacturing equipments with equipment names “F-01” and “E-03” belong to one group. Looking at the equipment log data “G1”, the equipment name is “ON” in the semiconductor manufacturing equipment with “F-01” – “F-05”. Is set. On the other hand, the semiconductor manufacturing equipments with the equipment names “E-01” and “E-03” are “OFF”, and even if the semiconductor manufacturing equipment belongs to the same group, the abnormality of the equipment log data is detected individually. You can set whether or not to perform.
- FIG. 11 shows an example of setting the upper and lower limits.
- “global alignment measurement shift X” is taken as device log data, and upper and lower limits are set for this “global alignment measurement shift X”.
- a function of automatically calculating upper and lower limits using past data stored in the past data storage unit 4a of the equipment data management server 4 shown in Fig. 1 is provided. It was constructed.
- the engineer can specify the header of the device log data as a search key of the abnormality detection condition setting file 13a.
- a search key can be specified from the recipe No., equipment name, chamber, step ID, product name, and process name that is the header of the equipment log data. I have to.
- 3 Headers are specified as search keys.
- Fig. 12 shows a diagram that describes only the search key items, device log data types, and sigma coefficients set as condition No. 1 from the abnormality detection condition setting file 13a for simplicity.
- abnormality detection of the device log data (global alignment measurement shift X) stored in the device log data storage unit 10 is performed.
- the abnormality data detection unit 15 shown in FIG. obtains the search key specifying the header.
- the product name, process name and equipment name in the header are the search keys.
- the abnormal data detection unit 15 acquires the specific contents of the product name, process name, and device name specified as the search key from the device log data stored in the device log data storage unit 10.
- FIG. 13 shows the contents of the header of the device log data stored in the device log data storage unit 10. For example, if the product name, process name, and device name specified as the search key are obtained from the contents shown in Fig. 13, the obtained contents will be the product name "HI", process name "3", and device name "# 1".
- abnormal data detection unit 15 extracts past data having a header having the same content as the acquired header from past data storage unit 4a. Then, the average value and the standard deviation are calculated from the extracted past data, and the upper and lower limit values are automatically calculated. In this way, the engineer can automatically calculate only the required upper and lower limits by simply specifying the search key. Therefore, the workload of the engineer can be reduced.
- the device log data output from the device as the device log data for detecting the abnormality may be more meaningful than the device log data output from the device log data that has been processed.
- the file for obtaining the device log data subjected to the arithmetic processing is the calculation formula definition file 15a.
- Fig. 14 shows an example of the contents of the calculation formula definition file 15a.
- the device log data of the detection item content S “parameter z” is calculated using the values “Chl”, “Ch2”, “Ch4”, and “Ch5” of the calculation parameters P1 to P4.
- (Chl + Ch4) Z2-It is possible to calculate by (Ch2 + Ch5) Z2.
- the error message definition file 18 stores an error message displayed when an error is detected.
- a message is defined, for example, as shown in FIG. 8.
- the error message of the specified error number can be displayed. .
- the attached file 20 is a file attached to the output of the detection result, and is a file that allows a detailed work instruction to be given when an abnormality is detected.
- Fig. 16 shows an example of the contents of the attached file 20.
- Figure 16 shows the attached file when an abnormality was detected using global alignment measurement data as device log data.
- the abnormal value deletion definition file 16 is a file used to delete data that is known to be abnormal in advance from the device log data.
- the device log data to be deleted here is a device bug that does not indicate an abnormality of the semiconductor manufacturing device, or is obvious abnormal data caused by a problem in device communication.
- the e-mail address setting file 19 is a file for specifying a destination to output a detection result when an abnormality is detected, and is a file in which e-mail addresses and the like are described.
- the files used for abnormality detection using device alarm data are the critical alarm data setting file 14a, unnecessary data setting file 14b, additional monitoring data setting file 14c, error message definition file 18, and mail address setting file. File 19, attached file 20, and device group designation file 21.
- error message definition file 18, e-mail address setting file 19, attached file 20, and device group designation file 21 have been described as files used for abnormality detection using device log data, and therefore description thereof is omitted. I do.
- the fatal alarm data setting file 14a is a file in which device alarm data that is fatal in processing a wafer is registered, and the content is as shown in FIG. 17, for example. As shown in Fig. 17, the device alarm data is fatal alarm data "A0001 ",” A0002 ",” A0003 ",” B0 * * * "correspond to a fatal error. In the critical alarm data setting file 14a, there are items for terminal display ON / OFF and mail transmission destination. If a fatal error occurs, an error is displayed on the worker terminal devices 2A-2C and the engineer PC6. Is made.
- the unnecessary data setting file 14b is a file in which data that does not need to be regarded as abnormal in processing the wafer among the device alarm data is registered, and the contents thereof are as shown in Fig. 18, for example. As shown in FIG. 18, when the device alarm data corresponds to the unnecessary data "X001", “X0002", or "Y00 **", the abnormality detection processing is terminated without performing the abnormality detection.
- the additional monitoring data setting file 14c is a file for registering data that is determined to be abnormal when device alarm data has occurred more than a predetermined number of times in a predetermined time.
- the time and the number of times can be set as shown in FIG. It has become. As shown in FIG. 19, for example, if the device alarm data corresponds to the additional monitoring data “Z0001”, and if the device alarm data occurs 10 times or more in two hours, an error is displayed. You.
- the number of device alarm data is as large as tens of thousands in the case of a stepper which is an extremely large number of exposure devices, and it is set whether or not the device alarm data is fatal. It is difficult. Therefore, fatal alarm codes are registered within the known range in order to detect abnormalities effectively, and device alarm data that is excluded from the judgment of abnormality detection is registered as unnecessary data. For unregistered codes, default settings are made in the additional monitoring data setting file 14c as shown in FIG. 19, and abnormalities are detected based on the default settings.
- Fig. 20 shows the output contents of the detection result when an abnormality is detected from the device log data. Indicates. As shown in Fig. 20, when an error is detected, the operator is first notified of the occurrence of the error, and the header of the device log data such as the start time of the start of construction, product name, process name, recipe name, and device name Are output to the worker terminal devices 2A-2C. Also, the presence or absence of a device error and the content of the error message are displayed. If you need detailed information on the presence or absence of device errors and the target product, you can click on each item to move to each detailed screen.
- FIG. 21 For example, when "Yes" of the device error is clicked, a screen as shown in FIG. 21 is displayed. That is, the time at which the device error occurred, the wafer number, the content, etc. are displayed.
- the first line of FIG. 21 specifically shows that the time of occurrence of the device error is “15:30”, the wafer number is “10”, and the content is “abnormal vacuum pressure”.
- a screen as shown in Fig. 22 is displayed. That is, lot No., No. C No., detection item (device log data), and detection method are displayed. Specifically, for example, the lot number is displayed as “A001”, the wafer number is “1”, the detection item is “vacuum pressure”, and the detection method is “upper / lower limit value”.
- the attached file as shown in Fig. 23 is displayed.
- This attached file is designed to give detailed instructions on how to respond when an abnormality is detected.
- the worker it is also possible for the worker to check the measurement value and enter OK or NG automatically when the checked result is entered in the measurement value column.
- the contents shown in Fig. 20 to Fig. 23 can also be delivered by e-mail to the registered address to notify the engineer that an abnormality has occurred.
- FIG. 24 shows the contents output when an abnormality is detected based on the device alarm data.
- occurrence time, error type, equipment alarm data, lot number, wafer N o, alarm contents and engineer's instructions are displayed on the worker terminal devices 2A-2C. Then, check the check box and press the Return button to display the contents shown in Figure 25.
- a line comment input column is provided in which the content that the operator has dealt with can be described, so that the operator can enter a countermeasure in this column. Then, when the transmission shown in FIG. 25 is checked and the input is completed, the data having the contents shown in FIG. 25 is distributed to the engineer and stored in the abnormality detection server 5.
- Embodiment 1 is configured as described above, and an example and operation of the operation will be described below with reference to the drawings.
- the wafer start is started in the semiconductor manufacturing apparatus 1A according to the instruction of the worker terminal apparatus 2A (S101). Subsequently, when the processing of the wafer is completed in the semiconductor manufacturing apparatus 1A, the apparatus log data is transmitted from the semiconductor manufacturing apparatus 1A to the worker terminal apparatus 2A (S102).
- the worker terminal device 2A transmits the received device log data to the data handling server 3A (S103).
- the data handling server 3A transmits the received device log data to the equipment data management server 4 (S104).
- the equipment data management server transmits the received device log data to the abnormality detection server 5 (S105). Subsequently, the abnormality detection server 5 stores the device log data in the device log data storage unit 10 in the abnormality detection server 5 (S106).
- S102-S106 are repeated (S107).
- a lot end signal is also transmitted to the semiconductor manufacturing apparatus 1A (S108).
- the abnormality detection server 5 receives the lot end signal by the lot end signal receiving unit 12 in the abnormality detection server 5 (S109).
- the abnormal data detecting section 15 executes the abnormality detecting operation stored in the first detecting condition storing section 13.
- a search key specifying a header is acquired with reference to the condition setting file 13a (S110).
- the header specified by the obtained search key is described in the device log data storage unit 10.
- the contents of the device log data are acquired (S111).
- the abnormal data detection unit 15 calculates an average value and a standard deviation based on the extracted past data (S113). Thereafter, the abnormal data detection unit 15 detects whether there is any abnormality in the device log data stored in the device log data storage unit 10 based on the calculated average value and standard deviation (S114).
- the detection result is transmitted to the engineer PC 6 and the worker terminal device 2A (S116).
- the abnormal data is not detected by the abnormal data detection unit 15 (S115)
- the result is transmitted only to the worker terminal device 2A (S117). In this way, it is possible to detect an abnormality in the device log data.
- abnormality in apparatus log data can be detected in real time, abnormality in a semiconductor manufacturing apparatus and a process that causes a large amount of wafer defects can be found at an early stage.
- the detection result can be delivered to the computer of the engineer using the mail function, the engineer can immediately know the abnormality.
- the apparatus log data is data indicating the state of the apparatus, it is possible to detect a defective wafer caused by a failure of the apparatus itself or the like, and to detect a defective wafer when a process defect is reflected in the apparatus log data. Can also be detected.
- the apparatus log data is output from the semiconductor manufacturing apparatus every time the wafer is processed, the wafer and the apparatus log data have a one-to-one correspondence. Therefore, an abnormality can be detected even for a wafer that is not inspected in the sampling inspection.
- the equipment alarm data is transmitted from the semiconductor manufacturing equipment 1A, the equipment terminal 2A, the data handling server 3A, and the equipment data management equipment. Finally, it is input to the abnormality detection server 5 via the server.
- the device alarm data is stored in the device alarm data storage unit 11 in the abnormality detection server 5 (S201). Then, the device alarm data stored in the device alarm data storage unit 11 is input to the abnormal data detection unit 15 (S202). The abnormal data detection unit 15 determines whether the device alarm data is stored in the second detection condition storage unit 14 and set in the fatal alarm data setting file 14a, and matches the critical alarm data ( S203).
- the device alarm data matches the fatal alarm data, an error is displayed on the worker terminal device 2A or the engineer PC 6 (S204). If the device alarm data does not match the fatal alarm data, it is further determined in the unnecessary data setting file 14b whether it matches the unnecessary data (S205). If the device alarm data matches the unnecessary data, the process ends without detecting any abnormality. On the other hand, if the device alarm data does not match the unnecessary data, subsequently, it is determined whether the additional monitoring data set in the additional monitoring data setting file 14c matches the device alarm data (S206).
- the device alarm data matches the additional monitoring data, it is determined whether the number of occurrences of the predetermined time is larger than a set value (S207). If the number of occurrences of the predetermined time is larger than the set value, an error is displayed on the worker terminal device 2A or the engineer PC 6 (S208). On the other hand, if the number of occurrences of the predetermined time is smaller than the set value, the process ends without detecting the abnormality.
- the process ends without detecting any abnormality. On the other hand, if the default registration has been made, it is determined whether the number of occurrences of the predetermined time is larger than the default setting (S210). If the number of occurrences of the predetermined time is larger than the default setting, an error is displayed on the worker terminal device 2A or the engineer PC 6 (S211). On the other hand, if the number of occurrences of the predetermined time is less than the default setting, the process ends without detecting an abnormality. In this way, an abnormality can be detected using the device alarm data.
- the average value and the standard deviation are calculated using the past data stored in the past data storage unit 4a, and the upper and lower limit values are set using the calculated average value and the standard deviation.
- An abnormality is detected.
- an analysis simulator using logic for calculating an average value and a standard deviation from past data to obtain upper and lower limits. In other words, when the engineer sets the upper and lower limits, it is difficult to optimize the upper and lower limits.
- detection conditions and device log data can be selected, the detection rate and false alarm rate can be simulated instantly, and the setting conditions can be optimized.
- the abnormality detection system described in the first embodiment is specifically applied to an exposure device (stepper).
- An exposure apparatus is used in a manufacturing process of a semiconductor integrated circuit device including a MOS (Metal Oxide Semiconductor) transistor, and is used, for example, in a process for forming a wiring or a gate electrode of a MOS transistor on a wafer. .
- MOS Metal Oxide Semiconductor
- it is used in a patterning step of a resist film applied on a semiconductor wafer in order to remove wiring and gate electrodes.
- a conductive film made of, for example, a polysilicon film is formed on a wafer on which a gate insulating film has been formed.
- a resist film is applied on the conductive film.
- an exposure apparatus is used when patterning the applied resist film.
- the exposure apparatus is used, for example, for patterning a resist film used for processing a gate electrode.
- FIG. 29 schematically shows a base pattern 31 of the wafer 30 actually measured by the exposure apparatus and an ideal grating 32 included in the exposure apparatus.
- the exposure apparatus has a function of correcting the deviation in the exposure apparatus when a deviation occurs between the measured base pattern 31 and the ideal lattice 32. For example, glow No alignment processing is performed to accurately print the pattern on the base pattern 31.
- global alignment measurement data positioning measurement data
- an abnormality is detected using this glow no alignment measurement data. It has been confirmed that if the exposure apparatus misdetects a misalignment between the underlying pattern 31 and the ideal grating 32, a sudden jump occurs in the global alignment measurement data, which is the apparatus log. . Therefore, by detecting whether a sudden jump has occurred in the global alignment measurement data, it is possible to early detect a wafer that is out of the standard.
- FIG. 30 specifically shows a state in which a sudden abnormality has occurred in the global alignment measurement data.
- the horizontal axis indicates the wafer number, and the vertical axis indicates the global alignment measurement data that is the apparatus log data.
- most of the global alignment measurement data has a value between "0.10" and "0.15".
- the global value corresponding to wafer No. "8” The alignment measurement data suddenly shows a value of “0.40”.
- the threshold value is “0.30”, it is detected that the global alignment measurement data corresponding to wafer No. “8” is abnormal. Therefore, according to the second embodiment, it is possible to specify and detect a wafer which is out of specification due to a pattern shift!
- the abnormality used in the method of manufacturing a semiconductor integrated circuit device in the second embodiment A plurality of exposure units are connected to the detection system !, but a specific product is manufactured with a specific exposure unit that does not cause the same abnormality in multiple exposure units. In some cases, abnormalities appear frequently.
- Such a combination of the exposure apparatus and the product can be identified by continuing to detect the abnormality by the abnormality detection system. Therefore, it is possible to reduce the occurrence of abnormalities by optimizing the apparatus conditions and the starting conditions for the specified combination of the exposure apparatus and the products manufactured there.
- an etching apparatus is an apparatus for etching a wafer or a film formed on the wafer, and is used in a manufacturing process of a semiconductor integrated circuit device including a MOS transistor. For example, it is used when forming element isolation grooves on a wafer to electrically isolate elements such as MOS transistors.
- the device isolation region is formed by sequentially forming an oxide silicon film and a silicon nitride film on a wafer and then patterning using photolithography technology. The patterning is performed so as to remove the silicon oxide film and the silicon nitride film formed in the region where the element isolation region is to be formed.
- the exposed silicon is etched using an etching apparatus to form element isolation trenches. Thereafter, an element isolation region is formed by embedding a silicon oxide film in an element isolation groove formed by etching.
- the etching apparatus is used, for example, in the step of forming the element isolation groove as described above.
- FIG. 31 is a diagram showing a schematic configuration of the above-described etching apparatus.
- the etching apparatus has an etching chamber 35, a transfer chamber 36, a load lock channel 37, a stage 38, an APC (Auto Pressure Control) valve 39, a pump 40, and a gate valve 41.
- APC Auto Pressure Control
- the etching chamber 35 is a chamber for performing an etching process, and a stage 38 for placing a wafer therein is provided therein. Stage 38 also serves as an electrode.
- the etching chamber 35 is connected to a pump 40 via an APC valve 39. Has been.
- the APC valve 39 is provided for adjusting the pressure in the etching chamber 35, and is capable of adjusting the opening degree. This opening degree is output from the etching apparatus as apparatus log data. Also, a pump 40 is provided for exhausting the gas in the etching chamber 35! / Puru.
- the gate valve 41 is a valve which can open and close between the etching chamber 35 and the transfer chamber 36, and has an O-ring!
- the etching of the wafer in the etching apparatus configured as described above is performed by introducing an etching gas into the etching chamber 35 with the wafer placed on the stage 38.
- the APC valve 39 has a predetermined opening degree, and the reaction gas by the etching is exhausted to the outside through the APC knob 39.
- the etching step performed by this etching apparatus is, for example, a step of forming an element isolation groove for separating elements on a wafer.
- the gate valve 41 provided between the etching chamber 35 and the transfer chamber 36 is closed.
- the O-ring in the gate valve 41 is deteriorated, a leak will occur even if the gate valve 41 is closed. That is, the nitrogen gas present in the transfer chamber 36 leaks into the etching chamber 35 having a lower pressure than the S transfer chamber 36. Then, the pressure in the etching chamber 35 increases. For this reason, the opening degree of the APC valve 39 is increased in order to reduce the increased pressure in the etching chamber 35.
- the opening degree of the APC valve 39 increases, the amount of the exhausted etching gas present in the etching chamber 35 also increases. Therefore, the etching reaction is relatively reduced, and the depth of the device isolation groove formed in the wafer becomes shallow, resulting in a failure.
- the process abnormality based on the failure of the etching apparatus described above is detected by using the opening degree of the APC valve 39 as the apparatus log data. That is, when the opening degree of the APC valve is increased, an abnormality is detected as nitrogen leaking into the etching chamber 35.
- Fig. 32 shows the APC valve which is the wafer number of the wafer to be etched and the log data of the equipment The relationship between 39 degrees of opening is shown.
- the horizontal axis indicates the wafer number, and the vertical axis indicates the aperture (%) of the APC valve 39.
- FIG. 32 shows data on two independent and separate etching chambers Cl and C2.
- the opening degree of the etching chamber C2 is stably changing at a value between “13%” and “14%”.
- the opening degree of the etching chamber C1 is stable between “12%” and “13%” between wafer No. “1” and wafer No. “about 180”.
- the aperture rises remarkably, and the aperture becomes "15%”-"16%”.
- the opening degree becomes "17%"-"18%” around the wafer No. "about 200"-"about 240", and thereafter, the opening degree changes between "15%” and "16%”.
- the threshold value for detecting the opening degree abnormality to, for example, “15%”, it is possible to detect the first rise in the opening degree as an abnormality.
- the abnormality detection system described in the first embodiment is specifically applied to a plasma CVD (Chemical Vapor Deposition) apparatus.
- the plasma CVD device is a device for forming a film on a wafer, and is used in a manufacturing process of a semiconductor integrated circuit device including a MOS transistor. For example, it is used when an element such as a MOS transistor is formed on a wafer and then an interlayer insulating film is formed on the MOS transistor.
- the interlayer insulating film is formed by forming a MOS transistor on a wafer and then depositing an oxide silicon film on the MOS transistor using a plasma CVD apparatus.
- the silicon oxide film serving as an interlayer insulating film can be formed using, for example, TEOS (Tetra Ethyl Ortho Silicate) as a raw material.
- TEOS Tetra Ethyl Ortho Silicate
- the plasma CVD apparatus is used, for example, in the step of forming an interlayer insulating film as described above.
- FIG. 33 is a diagram showing a schematic configuration of a plasma CVD apparatus.
- the plasma CVD apparatus has a chamber 50, a lower electrode (susceptor) 51, an upper electrode 53, a matcher (functional part) 54, and an RF (Radio Frequency) power supply 55!
- a wafer 52 for performing a film forming process is arranged on the lower electrode 51.
- the upper electrode 53 is It serves as a cathode electrode so that a plasma gas can be introduced into the chamber 50.
- a matcher 54 is provided between the chamber 50 and the RF power supply 55.
- the match 54 is provided for impedance matching.
- the RF power supply 55 is configured to generate a high frequency voltage of 13.56 MHz, for example.
- the matcher 54 When the matcher 54 is functioning normally, it does not emit an RF reflected wave, but if it continues to be used and deteriorates, an RF reflected wave is output from the matcher 54, and the output of the RF reflected wave gradually increases. Come. As described above, when the RF reflected wave is output from the matcher 54, it is connected to the matcher 54, which adversely affects the RF power supply 55 and causes a failure of the RF power supply. For this reason, in the plasma CVD device, the average value of the RF reflected wave output from the matcher 54 exceeds 20 W, and if this state continues for 5 seconds, the output of the RF power supply 55 is shut off by the interlock function of the plasma CVD device. It has become. When the interlock is activated in this way, the output of the RF power supply 55 is cut off during the film forming process on the wafer, so that the film thickness of the film formed on the wafer does not reach the specified value and wafer scrap occurs.
- an abnormality of the matcher 54 is detected before the interlock by the plasma CVD apparatus is activated by using the average value of the RF reflected wave as the apparatus log data. In other words, by constantly monitoring the average value of RF reflected waves, wafer scrap can be prevented.
- Fig. 34 shows the transition of the average value of the RF reflected wave when the matcher 54 is defective.
- the horizontal axis indicates the number of wafers, and the vertical axis indicates the average value of RF reflected waves.
- the average RF reflected wave output from the matcher 54 is 20 W or less when the number of processed wafers is about 120, and the number of processed wafers is around 120.
- the RF reflected wave average temporarily exceeds 20W and becomes 30W. After that, the average value of the RF reflected wave again falls within 20 W.
- the average value of the RF reflected wave temporarily exceeds 60 W.
- the threshold value for judging the abnormality of the average value of the RF reflected wave is set to, for example, 30 W exceeding 20 W based on the standard deviation calculated from the past data.
- Abnormality of the matcher 54 can be detected at a stage where the number of wafers to be locked is about 250 or less.
- the wafer scrap can be eliminated by detecting a precursory abnormality before an abnormality such that the power supply of the apparatus is stopped. That is, according to the abnormality detection system in the fourth embodiment, a minor abnormality is detected without turning off the power supply of the apparatus, so that a wafer under construction can be rescued.
- the force described in the example in which the interlock is activated when the power exceeds 20W for 5 seconds continuously may be changed.
- this interlock is now determined at the time of device manufacture and cannot be changed.
- the detection is performed by the interlock, the power of the apparatus is turned off, and the wafer cannot be recovered. Therefore, it can be seen that the abnormality detection system according to the fourth embodiment, which detects a minor precursor abnormality without turning off the power supply of the apparatus and relieves the wafer, is effective.
- an appropriate threshold can be automatically set using past data, so that an appropriate threshold can be easily set. it can.
- the abnormality of the matcher 54 can be detected at an early stage by monitoring the average value of the RF reflected waves, which is the device log data. Therefore, wafer scrap can be prevented beforehand and matcher 54 can be used. The replacement timing can be optimized. In addition, since the matcher 54 can be continuously used in a normal state with a small RF reflected wave, the life of the RF power supply 55 connected to the matcher 54 can be extended.
- the abnormality detection system described in the first embodiment is specifically applied to a CVD (Chemical Vapor Deposition) apparatus.
- a CVD apparatus is an apparatus for forming a film on a wafer, and is used in a manufacturing process of a semiconductor integrated circuit device including a MOS transistor.
- a CVD device is used to form a plug by embedding a tungsten film in a contact hole.
- an interlayer insulating film is formed on the MOS transistor.
- a contact hole is formed in the interlayer insulating film by using a photolithography technique and an etching technique, and then a titanium / titanium nitride film is formed in the contact hole by using a sputtering method.
- a tantalum film is buried in the contact holes using a CVD device, and plugs are formed.
- the CVD apparatus is used, for example, in the step of forming a plug as described above.
- FIG. 35 is a diagram showing a schematic configuration of a CVD apparatus.
- the CVD apparatus has a shower base 60, a shower head 61, a reflector 62, a lifter pin 63, an attachment 64, a clamp ring 65, a quartz window 66, a lamp 67, a lamp house 68, a susceptor 69, and a thermocouple 70. Then! / Puru.
- the wafer is placed on susceptor 69 and fixed by clamp ring 65. Then, the wafer is heated by a lamp 67 installed below the quartz window 66. A plurality of lamps 67 to be heated are stored in a lamp node 68. The wafer temperature is controlled by a thermocouple 70 connected to a susceptor 69. The inner surface of the lamp house 68 is plated with gold (component) to increase the reflection efficiency. Further, a raw material gas for forming a film is introduced from the sharp head 61 onto the wafer.
- the wafer is heated by a plurality of lamps 67 stored in a lamp house 68.
- the lamp 67 typically operates at about 40% -50% of the maximum lamp power.
- the power of the other lamps 67 in the vicinity increases to cover the decrease in the output by the lamp.
- the power of the lamp 67 increases, the current consumption increases, and an overcurrent occurs to cause a failure that the power supply of the device goes down.
- the overcurrent also occurs due to clouding of the quartz window 66 and short-circuits caused by some lamps 67.
- the increase in the power of the lamp 67 is caused by melting the gold plating formed on the inner surface of the lamp house 68, causing a failure of the lamp house 68, a change in film quality due to the increase in the lamp power, and a decrease in the power supply of the apparatus. This causes problems such as scrapping of the wafer during construction.
- an abnormality of the lamp 67 is detected before the power of the device is turned off by using the power of the lamp 67 as the device log data. That is, by constantly monitoring the power of the lamp 67, wafer scrap is prevented from occurring.
- Fig. 36 is a diagram showing the power (ratio to the maximum lamp power) of lamp 67 and its transition when a trouble occurs.
- the horizontal axis indicates time, and the vertical axis indicates the power of the lamp 67.
- FIG. 36 shows the power of five lamps out of the lamps 67 stored in the lamp house 68 at the same time.
- the power of the lamp 67 was within the range of 50% to 60% until about 3 hours and 36 minutes passed, and then the power of the lamp 67 gradually increased. It can be seen that the power of lamp 67 sharply increased to a level between 70% and 90% in the vicinity of over 60% of the line and over 6 hours. Then, at the time when the power of the lamp 67 is rapidly increasing!
- the threshold power for judging the power abnormality of the lamp 67 is set to, for example, 60% based on the standard deviation calculated from the past data as described in the first embodiment. Before the operation, a slight abnormality in the power of the lamp 67 can be detected.
- the abnormality detection system of the fifth embodiment by monitoring the power of the lamp 67, which is the device log data, it is possible to detect the power abnormality of the lamp 67 at an early stage. Therefore, the ueno and scrap due to the power down of the equipment The lamp house 68 can have a longer life. In other words, according to the abnormality detection system in the fifth embodiment, since a minor abnormality is detected without turning off the power supply of the apparatus, the wafer under construction can be rescued.
- the power supply of the apparatus goes down, scraps of a wafer being processed are generated, and a large number of settings are set as in the case of manufacturing a wide variety of small products. It must be done properly and setting is difficult.
- the relief of the wafer can be performed by detecting a minor precursor abnormality without turning off the power supply of the apparatus, and as described in the first embodiment. Since an appropriate threshold value can be automatically set using past data, an appropriate threshold value can be set easily.
- the method for manufacturing a semiconductor integrated circuit device of the present invention can be widely used in the manufacturing industry for manufacturing semiconductor integrated circuit devices.
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Abstract
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- 2004-10-26 CN CNB2004800330203A patent/CN100394546C/zh not_active Expired - Fee Related
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Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2007129567A1 (ja) * | 2006-05-09 | 2007-11-15 | Tokyo Electron Limited | サーバ装置、およびプログラム |
JP2007305633A (ja) * | 2006-05-09 | 2007-11-22 | Tokyo Electron Ltd | サーバ装置、およびプログラム |
KR101016721B1 (ko) | 2006-05-09 | 2011-02-25 | 도쿄엘렉트론가부시키가이샤 | 서버 장치 및 프로그램 |
CN101438384B (zh) * | 2006-05-09 | 2011-04-13 | 东京毅力科创株式会社 | 服务器装置及程序 |
JP4697879B2 (ja) * | 2006-05-09 | 2011-06-08 | 東京エレクトロン株式会社 | サーバ装置、およびプログラム |
US8355808B2 (en) | 2006-05-09 | 2013-01-15 | Tokyo Electron Limited | Server device of group management system having function of performing fault detection and program |
JP2008130755A (ja) * | 2006-11-20 | 2008-06-05 | Hitachi High-Technologies Corp | 半導体製造装置 |
US8639367B2 (en) | 2009-09-24 | 2014-01-28 | Hitachi Kokusai Electric Inc. | Substrate processing system |
JP2013074198A (ja) * | 2011-09-28 | 2013-04-22 | Disco Abrasive Syst Ltd | 加工装置 |
US10261496B2 (en) | 2016-05-23 | 2019-04-16 | Renesas Electronics Corporation | Production system |
US10921775B2 (en) | 2016-05-23 | 2021-02-16 | Renesas Electronics Corporation | Production system |
Also Published As
Publication number | Publication date |
---|---|
JP4611894B2 (ja) | 2011-01-12 |
CN100394546C (zh) | 2008-06-11 |
JPWO2005045907A1 (ja) | 2007-05-24 |
US20070097763A1 (en) | 2007-05-03 |
US7346412B2 (en) | 2008-03-18 |
TWI373082B (ja) | 2012-09-21 |
TW200516686A (en) | 2005-05-16 |
CN1879195A (zh) | 2006-12-13 |
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