Abstract: Provided is a method of evaluating a silicon layer, including forming an oxide film on a surface of a silicon layer, performing a charging treatment of charging a surface of the formed oxide film to a negative charge, and measuring a resistivity of the silicon layer that has been subjected to the charging treatment by a van der Pauw method.

Abstract: Provided is a method of evaluating carbon concentration of a silicon sample, which includes: forming an oxide film on at least a part of a surface of an evaluation-target silicon sample; irradiating a particle beam onto a surface of the oxide film; irradiating excitation light having energy larger than a band gap of silicon onto the surface of the oxide film, onto which the particle beam has been irradiated; measuring intensity of photoluminescence emitted from the evaluation-target silicon sample irradiated with the excitation and evaluating carbon concentration of the evaluation-target silicon sample on the basis of the measured intensity of photoluminescence, wherein the photoluminescence is band-edge luminescence of silicon.

Abstract: Provided is a method of measuring a carbon concentration of a silicon sample, the method including introducing hydrogen atoms into a measurement-target silicon sample; subjecting the measurement-target silicon sample into which hydrogen atoms have been introduced to evaluation by an evaluation method of evaluating a trap level in a silicon band gap, without an electron beam irradiation treatment; and determining the carbon concentration of the measurement-target silicon sample on the basis of an evaluation result at least one trap level selected from the group consisting of Ec-0.10 eV, Ec-0.13 eV and Ec-0.15 eV, among the evaluation results obtained by the evaluation, wherein the determined carbon concentration is lower than 1.0E+16 atoms/cm3.

Abstract: Provided is a method of evaluating a silicon layer, including forming an oxide film on a surface of a silicon layer, performing a charging treatment of charging a surface of the formed oxide film to a negative charge, and measuring a resistivity of the silicon layer that has been subjected to the charging treatment by a van der Pauw method.

Abstract: The method is a method of evaluating a manufacturing process of a silicon material, wherein the manufacturing process includes a process that uses a member containing a carbon-containing sintered body, and the method of evaluating the manufacturing process of a silicon material includes performing DLTS measurement on a silicon material manufactured in the manufacturing process, and estimating a heavy metal contamination source of a silicon material manufactured in the manufacturing process with an indicator in the form of presence/absence of detection of a peak of a carbon-related level and presence/absence of detection of a peak of a heavy metal-related level in a DLTS spectrum obtained by the DLTS measurement.

Abstract: Provided is a method of evaluating carbon concentration of a silicon sample, which includes: forming an oxide film on at least a part of a surface of an evaluation-target silicon sample; irradiating a particle beam onto a surface of the oxide film; irradiating excitation light having energy larger than a band gap of silicon onto the surface of the oxide film, onto which the particle beam has been irradiated; measuring intensity of photoluminescence emitted from the evaluation-target silicon sample irradiated with the excitation and evaluating carbon concentration of the evaluation-target silicon sample on the basis of the measured intensity of photoluminescence, wherein the photoluminescence is band-edge luminescence of silicon.

Abstract: Provided is a method of measuring a carbon concentration of a silicon sample, the method including introducing hydrogen atoms into a measurement-target silicon sample; subjecting the measurement-target silicon sample into which hydrogen atoms have been introduced to evaluation by an evaluation method of evaluating a trap level in a silicon band gap, without an electron beam irradiation treatment; and determining the carbon concentration of the measurement-target silicon sample on the basis of an evaluation result at least one trap level selected from the group consisting of Ec-0.10 eV, Ec-0.13 eV and Ec-0.15 eV, among the evaluation results obtained by the evaluation, wherein the determined carbon concentration is lower than 1.0E+16 atoms/cm3.

Abstract: The method is a method of evaluating a manufacturing process of a silicon material, wherein the manufacturing process includes a process that uses a member containing a carbon-containing sintered body, and the method of evaluating the manufacturing process of a silicon material includes performing DLTS measurement on a silicon material manufactured in the manufacturing process, and estimating a heavy metal contamination source of a silicon material manufactured in the manufacturing process with an indicator in the form of presence/absence of detection of a peak of a carbon-related level and presence/absence of detection of a peak of a heavy metal-related level in a DLTS spectrum obtained by the DLTS measurement.

Abstract: To provide a method of removing a heavy metal contained in a thinned semiconductor substrate. A method of removing a heavy metal in a semiconductor substrate of the present invention comprises: attaching, to a rear surface of the semiconductor substrate, a material that lowers a potential barrier of the rear surface of the semiconductor substrate, on a front surface of which a circuit is to be formed or is formed; applying a thermal treatment to the semiconductor substrate under a condition based on a thickness and a resistivity of the semiconductor substrate; and, depositing the heavy metal in the semiconductor substrate on the rear surface.

Abstract: To provide a method of removing a heavy metal contained in a thinned semiconductor substrate. A method of removing a heavy metal in a semiconductor substrate of the present invention comprises: attaching, to a rear surface of the semiconductor substrate, a material that lowers a potential barrier of the rear surface of the semiconductor substrate, on a front surface of which a circuit is to be formed or is formed; applying a thermal treatment to the semiconductor substrate under a condition based on a thickness and a resistivity of the semiconductor substrate; and, depositing the heavy metal in the semiconductor substrate on the rear surface.

Abstract: A system for designing a utility facility includes a state analyzer analyzing operational states of tools included in a production line, an extraction module extracting an operational period and a standby period of each of the tools, a calculator calculating changes in a quantity of utilities consumed by the tools in operation and in standby, based on the operational periods and the standby periods, and a facility design module designing at least any of a utility facility for supplying utilities to the tools and a utility facility for disposing of utilities discharged from the tools.

Abstract: A system for designing a utility facility includes a state analyzer analyzing operational states of tools included in a production line, an extraction module extracting an operational period and a standby period of each of the tools, a calculator calculating changes in a quantity of utilities consumed by the tools in operation and in standby, based on the operational periods and the standby periods, and a facility design module designing at least any of a utility facility for supplying utilities to the tools and a utility facility for disposing of utilities discharged from the tools.

Abstract: A manufacturing apparatus which includes a rotary machine, includes: a plurality of accelerometers configured to measure diagnosis time series data attached to the rotary machine at locations where variations of the rotary machine are different; a frequency analysis device configured to perform a frequency analysis on the diagnosis time series data measured by the plurality of accelerometers; a time series data recording module configured to generate diagnosis data based on variations in characteristics of vibration corresponding to an analysis target frequency and to record the diagnosis data; and a life prediction unit configured to analyze the diagnosis data to determine a life span of the rotary machine.

Abstract: An apparatus for predicting life expectancy of a rotary machine includes: a load recipe input module acquiring loading conditions of a rotary machine; a characterizing feature input module obtaining characterizing feature data of a rotary machine; and a life expectancy prediction module calculating life expectancy of the rotary machine in conformity with the loading conditions and the characterizing feature data.

Abstract: A method for avoiding irregular shutoff of production equipment, includes: measuring regularly time-series data of characteristics of a rotary machine used in the production equipment running for the production; obtaining first failure diagnosis data subjecting the time-series data to a first real-time analysis; obtaining second failure diagnosis data subjecting the first failure diagnosis data to a second real-time analysis; predicting a status of the production equipment several minutes later using the second failure diagnosis data; and shutting off during a production process if the result of the prediction determines that the production equipment will shut off irregularly, and switching to a purge sequence for conducting a gas purge of the production equipment.

Abstract: A method for diagnosing failure of a manufacturing apparatus, includes: measuring time series data of characteristics of a reference apparatus which conducts same processes as the manufacturing apparatus, and recording the time series data of the characteristics in a system information storage unit as a system information database; reading out a recipe listed in a process control information database recorded in a process control information storage unit; driving and controlling the manufacturing apparatus, measuring time series data of the characteristics as test data, and outputting the test data in real time, in accordance with the recipe; performing calculations on the test data, and creating failure diagnosis data; and diagnosing the failure of the manufacturing apparatus using the failure diagnosis data and the system information database.

Abstract: A system for predicting life of a rotary machine, includes a vibration gauge configured to measure time series data of a peak acceleration of the rotary machine; a band pass filter configured to filter an analog signal of the time series data of the peak acceleration measured by the vibration gauge in a frequency band including a first analysis frequency expressed as a product of an equation including a number of rotor blades of the rotary machine and a normal frequency unique to the rotary machine; and a data processing unit configured to predict a life span of the rotary machine by characteristics of the filtered analog data of the time series data of the peak acceleration with the first analysis frequency.

Abstract: A method for predicting life of a rotary machine used in a manufacturing apparatus, includes: determining a starting time of an abnormal condition just before a failure of a monitor rotary machine used in a monitor manufacturing process, from monitor time-series data for characteristics of the monitor rotary machine, statistically analyzing the monitor time-series data, and finding a value for the characteristics at the starting time of the abnormal condition as a threshold of the abnormal condition; measuring diagnosis time-series data for the characteristic of a motor current of a diagnosis rotary machine during a manufacturing process; preparing diagnosis data from the diagnosis time-series data; and determining a time for the diagnosis data exceeding the threshold as the life of the diagnosis rotary machine.

Abstract: A method for predicting life span of a rotary machine used in a manufacturing apparatus, includes: measuring rotary machine acceleration evaluation time series data with a sampling interval being less than a half the cycle of an analysis target frequency, a number of samplings being at least four times the analysis target frequency; generating evaluation diagnosis data based on variations in characteristics corresponding to the analysis target frequency by subjecting the evaluation time series data to frequency analysis; and determining the life span of the rotary machine using the evaluation diagnosis data.

Abstract: An apparatus for predicting life expectancy of a rotary machine includes: a load recipe input module acquiring loading conditions of a rotary machine; a characterizing feature input module obtaining characterizing feature data of a rotary machine; and a life expectancy prediction module calculating life expectancy of the rotary machine in conformity with the loading conditions and the characterizing feature datap.