Patent ID: 8000819

Claim:
A manufacturing instruction evaluation support system comprising: a storage device that stores therein a parameter table storing manufacturing instruction parameters associated with product manufacturing, a manufacturing performance table storing manufacturing performance data in a manufacturing step operated in accordance with a manufacturing instruction parameter, and a multiple regression analysis program executing multiple regression analysis; a data reading part that reads from the parameter table and the manufacturing performance table and stores into a memory, a manufacturing instruction parameter group and manufacturing performance data corresponding thereto; a parameter sorting part that uses the manufacturing instruction parameter group in the memory as an explanatory variable and the manufacturing performance data as an objective variable to calculate a risk rate for each manufacturing instruction parameters configuring the manufacturing instruction parameter group and an average value of the calculated risk rates among the manufacturing instruction parameters with the multiple regression analysis program, the parameter sorting part identifying manufacturing instruction parameters having a risk rate no greater than the average value in the manufacturing instruction parameter group as available choices; a parameter identifying part that calculates multiple correlation coefficients, a number of parameters, and a number of samples for the manufacturing instruction parameter group and the manufacturing instruction parameters of the available choices to calculate an explanatory variable selection reference value with the multiple regression analysis program based on the calculated multiple correlation coefficients, the number of parameters, and the number of samples, the parameter identifying part identifying the manufacturing instruction parameter group or the manufacturing instruction parameters of the available choices having a greater calculated explanatory variable selection reference value as an optimum parameter; and a regression equation calculating part that calculates a regression equation when employing the optimum parameter with the multiple regression analysis program to display the regression equation on an output interface.